
Reading the feature tiers ...
[word_boundary, consonantal, approximant, sonorant, continuant, del_rel, voice, spread, implosive, labial, coronal, anterior, distributed, dorsal, high, low, back, ATR, syllabic]
done

Reading the phonemes ...
0	#	[+word_boundary,0consonantal,0approximant,0sonorant,0continuant,0del_rel,0voice,0spread,0implosive,0labial,0coronal,0anterior,0distributed,0dorsal,0high,0low,0back,0ATR,0syllabic]
1	y	[-word_boundary,-consonantal,+approximant,+sonorant,0continuant,0del_rel,0voice,0spread,0implosive,0labial,0coronal,0anterior,0distributed,0dorsal,+high,0low,+back,0ATR,-syllabic]
2	m	[-word_boundary,+consonantal,-approximant,+sonorant,0continuant,0del_rel,0voice,0spread,0implosive,+labial,0coronal,0anterior,0distributed,0dorsal,0high,0low,0back,0ATR,-syllabic]
3	p	[-word_boundary,+consonantal,-approximant,-sonorant,-continuant,-del_rel,-voice,0spread,0implosive,+labial,0coronal,0anterior,0distributed,0dorsal,0high,0low,0back,0ATR,-syllabic]
4	N	[-word_boundary,+consonantal,-approximant,+sonorant,0continuant,0del_rel,0voice,0spread,0implosive,0labial,0coronal,0anterior,0distributed,+dorsal,0high,0low,0back,0ATR,-syllabic]
5	k	[-word_boundary,+consonantal,-approximant,-sonorant,-continuant,-del_rel,-voice,0spread,0implosive,0labial,0coronal,0anterior,0distributed,+dorsal,0high,0low,0back,0ATR,-syllabic]
6	j	[-word_boundary,+consonantal,-approximant,-sonorant,-continuant,-del_rel,+voice,0spread,0implosive,0labial,+coronal,-anterior,+distributed,0dorsal,0high,0low,0back,0ATR,-syllabic]
7	n	[-word_boundary,+consonantal,-approximant,+sonorant,0continuant,0del_rel,0voice,0spread,0implosive,0labial,+coronal,+anterior,0distributed,0dorsal,0high,0low,0back,0ATR,-syllabic]
8	r	[-word_boundary,+consonantal,+approximant,+sonorant,0continuant,0del_rel,0voice,0spread,0implosive,0labial,+coronal,+anterior,0distributed,0dorsal,0high,0low,0back,0ATR,-syllabic]
9	t	[-word_boundary,+consonantal,-approximant,-sonorant,-continuant,-del_rel,-voice,0spread,0implosive,0labial,+coronal,+anterior,0distributed,0dorsal,0high,0low,0back,0ATR,-syllabic]
10	i	[-word_boundary,-consonantal,+approximant,+sonorant,0continuant,0del_rel,0voice,0spread,0implosive,0labial,0coronal,0anterior,0distributed,0dorsal,+high,-low,-back,+ATR,+syllabic]
11	e	[-word_boundary,-consonantal,+approximant,+sonorant,0continuant,0del_rel,0voice,0spread,0implosive,0labial,0coronal,0anterior,0distributed,0dorsal,-high,-low,-back,+ATR,+syllabic]
12	a	[-word_boundary,-consonantal,+approximant,+sonorant,0continuant,0del_rel,0voice,0spread,0implosive,0labial,0coronal,0anterior,0distributed,0dorsal,-high,+low,+back,-ATR,+syllabic]
13	o	[-word_boundary,-consonantal,+approximant,+sonorant,0continuant,0del_rel,0voice,0spread,0implosive,0labial,0coronal,0anterior,0distributed,0dorsal,-high,-low,+back,+ATR,+syllabic]
14	O	[-word_boundary,-consonantal,+approximant,+sonorant,0continuant,0del_rel,0voice,0spread,0implosive,0labial,0coronal,0anterior,0distributed,0dorsal,-high,-low,+back,-ATR,+syllabic]
15	u	[-word_boundary,-consonantal,+approximant,+sonorant,0continuant,0del_rel,0voice,0spread,0implosive,0labial,0coronal,0anterior,0distributed,0dorsal,+high,-low,+back,+ATR,+syllabic]
16	I	[-word_boundary,-consonantal,+approximant,+sonorant,0continuant,0del_rel,0voice,0spread,0implosive,0labial,0coronal,0anterior,0distributed,0dorsal,+high,-low,-back,-ATR,+syllabic]
17	U	[-word_boundary,-consonantal,+approximant,+sonorant,0continuant,0del_rel,0voice,0spread,0implosive,0labial,0coronal,0anterior,0distributed,0dorsal,+high,-low,+back,-ATR,+syllabic]
18	w	[-word_boundary,-consonantal,+approximant,+sonorant,0continuant,0del_rel,0voice,0spread,0implosive,0labial,0coronal,0anterior,0distributed,0dorsal,+high,0low,-back,0ATR,-syllabic]
number of segments: 19
done

Reading the natural classes ...
0	[+word_boundary]
1	[-word_boundary]
2	[+syllabic]
3	[-high]
4	[+back,-ATR]
5	[-low,+back]
6	[+sonorant]
7	[+sonorant,-syllabic]
8	[-back]
9	[-low,-back]
10	[+consonantal,+sonorant]
11	[+high,-ATR]
12	[-low]
13	[-high,+back]
14	[-high,-low]
15	[-low,+back,-ATR]
16	[-approximant,+sonorant]
17	[+high,-back]
18	[-high,-ATR]
19	[+ATR]
20	[+high,-low,-back]
21	[-sonorant]
22	[+dorsal]
23	[+coronal]
24	[-high,-low,+back]
25	[+high,+back]
26	[-syllabic]
27	[-back,-ATR]
28	[+high,-low,+back]
29	[-approximant,+coronal]
30	[-ATR]
31	[+sonorant,+dorsal]
32	[-back,+ATR]
33	[-voice]
34	[-high,-low,-ATR]
35	[+consonantal]
36	[+anterior]
37	[-high,+ATR]
38	[+high,+back,-ATR]
39	[+labial]
40	[-sonorant,+coronal]
41	[+high,+ATR]
42	[+sonorant,+coronal]
43	[+low]
44	[+approximant]
45	[-approximant]
46	[+back]
47	[+approximant,-syllabic]
48	[-approximant,+anterior]
49	[+back,+ATR]
50	[-high,-back]
51	[+back,+syllabic]
52	[+high,-back,+ATR]
53	[+voice]
54	[-sonorant,+dorsal]
55	[+high]
56	[+sonorant,+labial]
57	[-low,-ATR]
58	[-approximant,+sonorant,+coronal]
59	[-high,+back,+ATR]
60	[-consonantal]
61	[-consonantal,-syllabic]
62	[-sonorant,+labial]
63	[+consonantal,+approximant]
64	[-sonorant,+anterior]
65	[+high,+back,+ATR]
66	[-back,-syllabic]
67	[+back,-syllabic]
68	[+high,-low]
number of natural classes: 69

Mapping natural classes to the segments they contain ...
size of the natural class: 1
[+word_boundary] -> [#] ([true, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false])
size of the natural class: 18
[-word_boundary] -> [y, m, p, N, k, j, n, r, t, i, e, a, o, O, u, I, U, w] ([false, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true])
size of the natural class: 8
[+syllabic] -> [i, e, a, o, O, u, I, U] ([false, false, false, false, false, false, false, false, false, false, true, true, true, true, true, true, true, true, false])
size of the natural class: 4
[-high] -> [e, a, o, O] ([false, false, false, false, false, false, false, false, false, false, false, true, true, true, true, false, false, false, false])
size of the natural class: 3
[+back,-ATR] -> [a, O, U] ([false, false, false, false, false, false, false, false, false, false, false, false, true, false, true, false, false, true, false])
size of the natural class: 4
[-low,+back] -> [o, O, u, U] ([false, false, false, false, false, false, false, false, false, false, false, false, false, true, true, true, false, true, false])
size of the natural class: 14
[+sonorant] -> [y, m, N, n, r, i, e, a, o, O, u, I, U, w] ([false, true, true, false, true, false, false, true, true, false, true, true, true, true, true, true, true, true, true])
size of the natural class: 6
[+sonorant,-syllabic] -> [y, m, N, n, r, w] ([false, true, true, false, true, false, false, true, true, false, false, false, false, false, false, false, false, false, true])
size of the natural class: 4
[-back] -> [i, e, I, w] ([false, false, false, false, false, false, false, false, false, false, true, true, false, false, false, false, true, false, true])
size of the natural class: 3
[-low,-back] -> [i, e, I] ([false, false, false, false, false, false, false, false, false, false, true, true, false, false, false, false, true, false, false])
size of the natural class: 4
[+consonantal,+sonorant] -> [m, N, n, r] ([false, false, true, false, true, false, false, true, true, false, false, false, false, false, false, false, false, false, false])
size of the natural class: 2
[+high,-ATR] -> [I, U] ([false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, true, true, false])
size of the natural class: 7
[-low] -> [i, e, o, O, u, I, U] ([false, false, false, false, false, false, false, false, false, false, true, true, false, true, true, true, true, true, false])
size of the natural class: 3
[-high,+back] -> [a, o, O] ([false, false, false, false, false, false, false, false, false, false, false, false, true, true, true, false, false, false, false])
size of the natural class: 3
[-high,-low] -> [e, o, O] ([false, false, false, false, false, false, false, false, false, false, false, true, false, true, true, false, false, false, false])
size of the natural class: 2
[-low,+back,-ATR] -> [O, U] ([false, false, false, false, false, false, false, false, false, false, false, false, false, false, true, false, false, true, false])
size of the natural class: 3
[-approximant,+sonorant] -> [m, N, n] ([false, false, true, false, true, false, false, true, false, false, false, false, false, false, false, false, false, false, false])
size of the natural class: 3
[+high,-back] -> [i, I, w] ([false, false, false, false, false, false, false, false, false, false, true, false, false, false, false, false, true, false, true])
size of the natural class: 2
[-high,-ATR] -> [a, O] ([false, false, false, false, false, false, false, false, false, false, false, false, true, false, true, false, false, false, false])
size of the natural class: 4
[+ATR] -> [i, e, o, u] ([false, false, false, false, false, false, false, false, false, false, true, true, false, true, false, true, false, false, false])
size of the natural class: 2
[+high,-low,-back] -> [i, I] ([false, false, false, false, false, false, false, false, false, false, true, false, false, false, false, false, true, false, false])
size of the natural class: 4
[-sonorant] -> [p, k, j, t] ([false, false, false, true, false, true, true, false, false, true, false, false, false, false, false, false, false, false, false])
size of the natural class: 2
[+dorsal] -> [N, k] ([false, false, false, false, true, true, false, false, false, false, false, false, false, false, false, false, false, false, false])
size of the natural class: 4
[+coronal] -> [j, n, r, t] ([false, false, false, false, false, false, true, true, true, true, false, false, false, false, false, false, false, false, false])
size of the natural class: 2
[-high,-low,+back] -> [o, O] ([false, false, false, false, false, false, false, false, false, false, false, false, false, true, true, false, false, false, false])
size of the natural class: 3
[+high,+back] -> [y, u, U] ([false, true, false, false, false, false, false, false, false, false, false, false, false, false, false, true, false, true, false])
size of the natural class: 10
[-syllabic] -> [y, m, p, N, k, j, n, r, t, w] ([false, true, true, true, true, true, true, true, true, true, false, false, false, false, false, false, false, false, true])
size of the natural class: 1
[-back,-ATR] -> [I] ([false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, true, false, false])
size of the natural class: 2
[+high,-low,+back] -> [u, U] ([false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, true, false, true, false])
size of the natural class: 3
[-approximant,+coronal] -> [j, n, t] ([false, false, false, false, false, false, true, true, false, true, false, false, false, false, false, false, false, false, false])
size of the natural class: 4
[-ATR] -> [a, O, I, U] ([false, false, false, false, false, false, false, false, false, false, false, false, true, false, true, false, true, true, false])
size of the natural class: 1
[+sonorant,+dorsal] -> [N] ([false, false, false, false, true, false, false, false, false, false, false, false, false, false, false, false, false, false, false])
size of the natural class: 2
[-back,+ATR] -> [i, e] ([false, false, false, false, false, false, false, false, false, false, true, true, false, false, false, false, false, false, false])
size of the natural class: 3
[-voice] -> [p, k, t] ([false, false, false, true, false, true, false, false, false, true, false, false, false, false, false, false, false, false, false])
size of the natural class: 1
[-high,-low,-ATR] -> [O] ([false, false, false, false, false, false, false, false, false, false, false, false, false, false, true, false, false, false, false])
size of the natural class: 8
[+consonantal] -> [m, p, N, k, j, n, r, t] ([false, false, true, true, true, true, true, true, true, true, false, false, false, false, false, false, false, false, false])
size of the natural class: 3
[+anterior] -> [n, r, t] ([false, false, false, false, false, false, false, true, true, true, false, false, false, false, false, false, false, false, false])
size of the natural class: 2
[-high,+ATR] -> [e, o] ([false, false, false, false, false, false, false, false, false, false, false, true, false, true, false, false, false, false, false])
size of the natural class: 1
[+high,+back,-ATR] -> [U] ([false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, true, false])
size of the natural class: 2
[+labial] -> [m, p] ([false, false, true, true, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false])
size of the natural class: 2
[-sonorant,+coronal] -> [j, t] ([false, false, false, false, false, false, true, false, false, true, false, false, false, false, false, false, false, false, false])
size of the natural class: 2
[+high,+ATR] -> [i, u] ([false, false, false, false, false, false, false, false, false, false, true, false, false, false, false, true, false, false, false])
size of the natural class: 2
[+sonorant,+coronal] -> [n, r] ([false, false, false, false, false, false, false, true, true, false, false, false, false, false, false, false, false, false, false])
size of the natural class: 1
[+low] -> [a] ([false, false, false, false, false, false, false, false, false, false, false, false, true, false, false, false, false, false, false])
size of the natural class: 11
[+approximant] -> [y, r, i, e, a, o, O, u, I, U, w] ([false, true, false, false, false, false, false, false, true, false, true, true, true, true, true, true, true, true, true])
size of the natural class: 7
[-approximant] -> [m, p, N, k, j, n, t] ([false, false, true, true, true, true, true, true, false, true, false, false, false, false, false, false, false, false, false])
size of the natural class: 6
[+back] -> [y, a, o, O, u, U] ([false, true, false, false, false, false, false, false, false, false, false, false, true, true, true, true, false, true, false])
size of the natural class: 3
[+approximant,-syllabic] -> [y, r, w] ([false, true, false, false, false, false, false, false, true, false, false, false, false, false, false, false, false, false, true])
size of the natural class: 2
[-approximant,+anterior] -> [n, t] ([false, false, false, false, false, false, false, true, false, true, false, false, false, false, false, false, false, false, false])
size of the natural class: 2
[+back,+ATR] -> [o, u] ([false, false, false, false, false, false, false, false, false, false, false, false, false, true, false, true, false, false, false])
size of the natural class: 1
[-high,-back] -> [e] ([false, false, false, false, false, false, false, false, false, false, false, true, false, false, false, false, false, false, false])
size of the natural class: 5
[+back,+syllabic] -> [a, o, O, u, U] ([false, false, false, false, false, false, false, false, false, false, false, false, true, true, true, true, false, true, false])
size of the natural class: 1
[+high,-back,+ATR] -> [i] ([false, false, false, false, false, false, false, false, false, false, true, false, false, false, false, false, false, false, false])
size of the natural class: 1
[+voice] -> [j] ([false, false, false, false, false, false, true, false, false, false, false, false, false, false, false, false, false, false, false])
size of the natural class: 1
[-sonorant,+dorsal] -> [k] ([false, false, false, false, false, true, false, false, false, false, false, false, false, false, false, false, false, false, false])
size of the natural class: 6
[+high] -> [y, i, u, I, U, w] ([false, true, false, false, false, false, false, false, false, false, true, false, false, false, false, true, true, true, true])
size of the natural class: 1
[+sonorant,+labial] -> [m] ([false, false, true, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false])
size of the natural class: 3
[-low,-ATR] -> [O, I, U] ([false, false, false, false, false, false, false, false, false, false, false, false, false, false, true, false, true, true, false])
size of the natural class: 1
[-approximant,+sonorant,+coronal] -> [n] ([false, false, false, false, false, false, false, true, false, false, false, false, false, false, false, false, false, false, false])
size of the natural class: 1
[-high,+back,+ATR] -> [o] ([false, false, false, false, false, false, false, false, false, false, false, false, false, true, false, false, false, false, false])
size of the natural class: 10
[-consonantal] -> [y, i, e, a, o, O, u, I, U, w] ([false, true, false, false, false, false, false, false, false, false, true, true, true, true, true, true, true, true, true])
size of the natural class: 2
[-consonantal,-syllabic] -> [y, w] ([false, true, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, true])
size of the natural class: 1
[-sonorant,+labial] -> [p] ([false, false, false, true, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false])
size of the natural class: 1
[+consonantal,+approximant] -> [r] ([false, false, false, false, false, false, false, false, true, false, false, false, false, false, false, false, false, false, false])
size of the natural class: 1
[-sonorant,+anterior] -> [t] ([false, false, false, false, false, false, false, false, false, true, false, false, false, false, false, false, false, false, false])
size of the natural class: 1
[+high,+back,+ATR] -> [u] ([false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, true, false, false, false])
size of the natural class: 1
[-back,-syllabic] -> [w] ([false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, true])
size of the natural class: 1
[+back,-syllabic] -> [y] ([false, true, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false])
size of the natural class: 4
[+high,-low] -> [i, u, I, U] ([false, false, false, false, false, false, false, false, false, false, true, false, false, false, false, true, true, true, false])

Identifying minimal natural classes (i.e., classes that contain exactly one segment)
minimals:
[+word_boundary]
[+back, -syllabic]
[+sonorant, +labial]
[-sonorant, +labial]
[+sonorant, +dorsal]
[-sonorant, +dorsal]
[+voice]
[-approximant, +sonorant, +coronal]
[+consonantal, +approximant]
[-sonorant, +anterior]
[+high, -back, +ATR]
[-high, -back]
[+low]
[-high, +back, +ATR]
[-high, -low, -ATR]
[+high, +back, +ATR]
[-back, -ATR]
[+high, +back, -ATR]
[-back, -syllabic]
done

Mapping segments to the natural classes that contain them ...
done

Mapping natural classes to slice/row/column indexations ...

Reading trigram natural classes ...
done
default projection? true
Projection 0 is Vowel
	visible segments: #, i, e, a, o, O, u, I, U, 
	active natural classes: 
		[+word_boundary]
		[-word_boundary]
		[+syllabic]
		[-high]
		[+back,-ATR]
		[-low,+back]
		[-back]
		[-low,-back]
		[+high,-ATR]
		[-low]
		[-high,+back]
		[-high,-low]
		[-low,+back,-ATR]
		[+high,-back]
		[-high,-ATR]
		[+ATR]
		[+high,-low,-back]
		[-high,-low,+back]
		[+high,+back]
		[-back,-ATR]
		[+high,-low,+back]
		[-ATR]
		[-back,+ATR]
		[-high,-low,-ATR]
		[-high,+ATR]
		[+high,+back,-ATR]
		[+high,+ATR]
		[+low]
		[+back]
		[+back,+ATR]
		[-high,-back]
		[+high,-back,+ATR]
		[+high]
		[-low,-ATR]
		[-high,+back,+ATR]
		[+high,+back,+ATR]
		[+high,-low]
Projection 1 is default
	visible segments: #, y, m, p, N, k, j, n, r, t, i, e, a, o, O, u, I, U, w, 
	active natural classes: 
		[+word_boundary]
		[-word_boundary]
		[+syllabic]
		[-high]
		[+back,-ATR]
		[-low,+back]
		[+sonorant]
		[+sonorant,-syllabic]
		[-back]
		[-low,-back]
		[+consonantal,+sonorant]
		[+high,-ATR]
		[-low]
		[-high,+back]
		[-high,-low]
		[-low,+back,-ATR]
		[-approximant,+sonorant]
		[+high,-back]
		[-high,-ATR]
		[+ATR]
		[+high,-low,-back]
		[-sonorant]
		[+dorsal]
		[+coronal]
		[-high,-low,+back]
		[+high,+back]
		[-syllabic]
		[-back,-ATR]
		[+high,-low,+back]
		[-approximant,+coronal]
		[-ATR]
		[+sonorant,+dorsal]
		[-back,+ATR]
		[-voice]
		[-high,-low,-ATR]
		[+consonantal]
		[+anterior]
		[-high,+ATR]
		[+high,+back,-ATR]
		[+labial]
		[-sonorant,+coronal]
		[+high,+ATR]
		[+sonorant,+coronal]
		[+low]
		[+approximant]
		[-approximant]
		[+back]
		[+approximant,-syllabic]
		[-approximant,+anterior]
		[+back,+ATR]
		[-high,-back]
		[+back,+syllabic]
		[+high,-back,+ATR]
		[+voice]
		[-sonorant,+dorsal]
		[+high]
		[+sonorant,+labial]
		[-low,-ATR]
		[-approximant,+sonorant,+coronal]
		[-high,+back,+ATR]
		[-consonantal]
		[-consonantal,-syllabic]
		[-sonorant,+labial]
		[+consonantal,+approximant]
		[-sonorant,+anterior]
		[+high,+back,+ATR]
		[-back,-syllabic]
		[+back,-syllabic]
		[+high,-low]

Determining the size of each natural class on each projection
(ignore sizes for [+word_boundary] class) ...
Projection: Vowel
	[+word_boundary]	1
	[-word_boundary]	8
	[+syllabic]	8
	[-high]	4
	[+back, -ATR]	3
	[-low, +back]	4
	[-back]	3
	[-low, -back]	3
	[+high, -ATR]	2
	[-low]	7
	[-high, +back]	3
	[-high, -low]	3
	[-low, +back, -ATR]	2
	[+high, -back]	2
	[-high, -ATR]	2
	[+ATR]	4
	[+high, -low, -back]	2
	[-high, -low, +back]	2
	[+high, +back]	2
	[-back, -ATR]	1
	[+high, -low, +back]	2
	[-ATR]	4
	[-back, +ATR]	2
	[-high, -low, -ATR]	1
	[-high, +ATR]	2
	[+high, +back, -ATR]	1
	[+high, +ATR]	2
	[+low]	1
	[+back]	5
	[+back, +ATR]	2
	[-high, -back]	1
	[+high, -back, +ATR]	1
	[+high]	4
	[-low, -ATR]	3
	[-high, +back, +ATR]	1
	[+high, +back, +ATR]	1
	[+high, -low]	4
Projection: default
	[+word_boundary]	1
	[-word_boundary]	18
	[+syllabic]	8
	[-high]	4
	[+back, -ATR]	3
	[-low, +back]	4
	[+sonorant]	14
	[+sonorant, -syllabic]	6
	[-back]	4
	[-low, -back]	3
	[+consonantal, +sonorant]	4
	[+high, -ATR]	2
	[-low]	7
	[-high, +back]	3
	[-high, -low]	3
	[-low, +back, -ATR]	2
	[-approximant, +sonorant]	3
	[+high, -back]	3
	[-high, -ATR]	2
	[+ATR]	4
	[+high, -low, -back]	2
	[-sonorant]	4
	[+dorsal]	2
	[+coronal]	4
	[-high, -low, +back]	2
	[+high, +back]	3
	[-syllabic]	10
	[-back, -ATR]	1
	[+high, -low, +back]	2
	[-approximant, +coronal]	3
	[-ATR]	4
	[+sonorant, +dorsal]	1
	[-back, +ATR]	2
	[-voice]	3
	[-high, -low, -ATR]	1
	[+consonantal]	8
	[+anterior]	3
	[-high, +ATR]	2
	[+high, +back, -ATR]	1
	[+labial]	2
	[-sonorant, +coronal]	2
	[+high, +ATR]	2
	[+sonorant, +coronal]	2
	[+low]	1
	[+approximant]	11
	[-approximant]	7
	[+back]	6
	[+approximant, -syllabic]	3
	[-approximant, +anterior]	2
	[+back, +ATR]	2
	[-high, -back]	1
	[+back, +syllabic]	5
	[+high, -back, +ATR]	1
	[+voice]	1
	[-sonorant, +dorsal]	1
	[+high]	6
	[+sonorant, +labial]	1
	[-low, -ATR]	3
	[-approximant, +sonorant, +coronal]	1
	[-high, +back, +ATR]	1
	[-consonantal]	10
	[-consonantal, -syllabic]	2
	[-sonorant, +labial]	1
	[+consonantal, +approximant]	1
	[-sonorant, +anterior]	1
	[+high, +back, +ATR]	1
	[-back, -syllabic]	1
	[+back, -syllabic]	1
	[+high, -low]	4
done

Ordering natural classes by (descending) size on each projection
Projection: Vowel
[0, 1, 2, 12, 46, 3, 5, 19, 30, 55, 68, 4, 8, 9, 13, 14, 57, 11, 15, 17, 18, 20, 24, 25, 28, 32, 37, 41, 49, 27, 34, 38, 43, 50, 52, 59, 65, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
Projection: default
[0, 1, 6, 44, 26, 60, 2, 35, 12, 45, 7, 46, 55, 51, 3, 5, 8, 10, 19, 21, 23, 30, 68, 4, 9, 13, 14, 16, 17, 25, 29, 33, 36, 47, 57, 11, 15, 18, 20, 22, 24, 28, 32, 37, 39, 40, 41, 42, 48, 49, 61, 27, 31, 34, 38, 43, 50, 52, 53, 54, 56, 58, 59, 62, 63, 64, 65, 66, 67]

Determining the simplified representations of segments on projections ...
Segment representations on projection Vowel
[0, -1, -1, -1, -1, -1, -1, -1, -1, -1, 10, 11, 12, 13, 14, 15, 16, 17, -1]
Segment representations on projection default
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]
done

Reading the corpus ...
size of corpus: 50000
empirical length distribution: [0, 0, 0, 16732, 0, 16747, 0, 16521, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
maximum nonzero length: 7
done
done

Running iterative feature selection ...
Gaussian regularizer: mu=0.0 sigma^2=1000000.0
strictly more general than: [+syllabic](8), [-word_boundary] (projection=0)
strictly more general than: [-word_boundary](8), [+syllabic] (projection=0)
strictly more general than: [-word_boundary](8), [-high] (projection=0)
strictly more general than: [-ATR](4), [+back, -ATR] (projection=0)
strictly more general than: [+back](5), [-low, +back] (projection=0)
strictly more general than: [-low, -back](3), [-back] (projection=0)
strictly more general than: [-back](3), [-low, -back] (projection=0)
strictly more general than: [-low, -ATR](3), [+high, -ATR] (projection=0)
strictly more general than: [-word_boundary](8), [-low] (projection=0)
strictly more general than: [-high](4), [-high, +back] (projection=0)
strictly more general than: [-high](4), [-high, -low] (projection=0)
strictly more general than: [+back, -ATR](3), [-low, +back, -ATR] (projection=0)
strictly more general than: [+high, -low, -back](2), [+high, -back] (projection=0)
strictly more general than: [+back, -ATR](3), [-high, -ATR] (projection=0)
strictly more general than: [-low](7), [+ATR] (projection=0)
strictly more general than: [+high, -back](2), [+high, -low, -back] (projection=0)
strictly more general than: [-high, +back](3), [-high, -low, +back] (projection=0)
strictly more general than: [+high, -low, +back](2), [+high, +back] (projection=0)
strictly more general than: [+high, -ATR](2), [-back, -ATR] (projection=0)
strictly more general than: [+high, +back](2), [+high, -low, +back] (projection=0)
strictly more general than: [-word_boundary](8), [-ATR] (projection=0)
strictly more general than: [-back](3), [-back, +ATR] (projection=0)
strictly more general than: [-low, +back, -ATR](2), [-high, -low, -ATR] (projection=0)
strictly more general than: [-high, -low](3), [-high, +ATR] (projection=0)
strictly more general than: [+high, -ATR](2), [+high, +back, -ATR] (projection=0)
strictly more general than: [+ATR](4), [+high, +ATR] (projection=0)
strictly more general than: [-high, -ATR](2), [+low] (projection=0)
strictly more general than: [-word_boundary](8), [+back] (projection=0)
strictly more general than: [-low, +back](4), [+back, +ATR] (projection=0)
strictly more general than: [-back, +ATR](2), [-high, -back] (projection=0)
strictly more general than: [+high, -back](2), [+high, -back, +ATR] (projection=0)
strictly more general than: [+high, -low](4), [+high] (projection=0)
strictly more general than: [-ATR](4), [-low, -ATR] (projection=0)
strictly more general than: [-high, -low, +back](2), [-high, +back, +ATR] (projection=0)
strictly more general than: [+high, +back](2), [+high, +back, +ATR] (projection=0)
strictly more general than: [+high](4), [+high, -low] (projection=0)
strictly more general than: [-consonantal](10), [+syllabic] (projection=1)
strictly more general than: [+syllabic](8), [-high] (projection=1)
strictly more general than: [-ATR](4), [+back, -ATR] (projection=1)
strictly more general than: [+back, +syllabic](5), [-low, +back] (projection=1)
strictly more general than: [-word_boundary](18), [+sonorant] (projection=1)
strictly more general than: [-syllabic](10), [+sonorant, -syllabic] (projection=1)
strictly more general than: [-consonantal](10), [-back] (projection=1)
strictly more general than: [-back](4), [-low, -back] (projection=1)
strictly more general than: [+sonorant, -syllabic](6), [+consonantal, +sonorant] (projection=1)
strictly more general than: [-low, -ATR](3), [+high, -ATR] (projection=1)
strictly more general than: [+syllabic](8), [-low] (projection=1)
strictly more general than: [-high](4), [-high, +back] (projection=1)
strictly more general than: [-high](4), [-high, -low] (projection=1)
strictly more general than: [+back, -ATR](3), [-low, +back, -ATR] (projection=1)
strictly more general than: [+consonantal, +sonorant](4), [-approximant, +sonorant] (projection=1)
strictly more general than: [-back](4), [+high, -back] (projection=1)
strictly more general than: [+back, -ATR](3), [-high, -ATR] (projection=1)
strictly more general than: [-low](7), [+ATR] (projection=1)
strictly more general than: [-low, -back](3), [+high, -low, -back] (projection=1)
strictly more general than: [-approximant](7), [-sonorant] (projection=1)
strictly more general than: [-approximant](7), [+dorsal] (projection=1)
strictly more general than: [+consonantal](8), [+coronal] (projection=1)
strictly more general than: [-high, +back](3), [-high, -low, +back] (projection=1)
strictly more general than: [+back](6), [+high, +back] (projection=1)
strictly more general than: [-word_boundary](18), [-syllabic] (projection=1)
strictly more general than: [+high, -ATR](2), [-back, -ATR] (projection=1)
strictly more general than: [+high, +back](3), [+high, -low, +back] (projection=1)
strictly more general than: [+coronal](4), [-approximant, +coronal] (projection=1)
strictly more general than: [+syllabic](8), [-ATR] (projection=1)
strictly more general than: [+dorsal](2), [+sonorant, +dorsal] (projection=1)
strictly more general than: [-low, -back](3), [-back, +ATR] (projection=1)
strictly more general than: [-sonorant](4), [-voice] (projection=1)
strictly more general than: [-low, +back, -ATR](2), [-high, -low, -ATR] (projection=1)
strictly more general than: [-syllabic](10), [+consonantal] (projection=1)
strictly more general than: [+coronal](4), [+anterior] (projection=1)
strictly more general than: [-high, -low](3), [-high, +ATR] (projection=1)
strictly more general than: [+high, -ATR](2), [+high, +back, -ATR] (projection=1)
strictly more general than: [-approximant](7), [+labial] (projection=1)
strictly more general than: [-approximant, +coronal](3), [-sonorant, +coronal] (projection=1)
strictly more general than: [+ATR](4), [+high, +ATR] (projection=1)
strictly more general than: [+anterior](3), [+sonorant, +coronal] (projection=1)
strictly more general than: [-high, -ATR](2), [+low] (projection=1)
strictly more general than: [+sonorant](14), [+approximant] (projection=1)
strictly more general than: [+consonantal](8), [-approximant] (projection=1)
strictly more general than: [-consonantal](10), [+back] (projection=1)
strictly more general than: [+sonorant, -syllabic](6), [+approximant, -syllabic] (projection=1)
strictly more general than: [-approximant, +coronal](3), [-approximant, +anterior] (projection=1)
strictly more general than: [-low, +back](4), [+back, +ATR] (projection=1)
strictly more general than: [-back, +ATR](2), [-high, -back] (projection=1)
strictly more general than: [+back](6), [+back, +syllabic] (projection=1)
strictly more general than: [+high, -low, -back](2), [+high, -back, +ATR] (projection=1)
strictly more general than: [-sonorant, +coronal](2), [+voice] (projection=1)
strictly more general than: [+dorsal](2), [-sonorant, +dorsal] (projection=1)
strictly more general than: [-consonantal](10), [+high] (projection=1)
strictly more general than: [+labial](2), [+sonorant, +labial] (projection=1)
strictly more general than: [-ATR](4), [-low, -ATR] (projection=1)
strictly more general than: [+sonorant, +coronal](2), [-approximant, +sonorant, +coronal] (projection=1)
strictly more general than: [-high, -low, +back](2), [-high, +back, +ATR] (projection=1)
strictly more general than: [+approximant](11), [-consonantal] (projection=1)
strictly more general than: [+approximant, -syllabic](3), [-consonantal, -syllabic] (projection=1)
strictly more general than: [+labial](2), [-sonorant, +labial] (projection=1)
strictly more general than: [+sonorant, +coronal](2), [+consonantal, +approximant] (projection=1)
strictly more general than: [-sonorant, +coronal](2), [-sonorant, +anterior] (projection=1)
strictly more general than: [+high, -low, +back](2), [+high, +back, +ATR] (projection=1)
strictly more general than: [-consonantal, -syllabic](2), [-back, -syllabic] (projection=1)
strictly more general than: [-consonantal, -syllabic](2), [+back, -syllabic] (projection=1)
strictly more general than: [+high](6), [+high, -low] (projection=1)

digraph G
{
graph [size = "7.5,7.5" rankdir = LR]
node [shape = circle]
0 [style = bold]
0 -> 1 [label =""]
0 -> 2 [label =""]
1 -> 3 [label =""]
1 -> 12 [label =""]
1 -> 30 [label =""]
1 -> 46 [label =""]
3 -> 13 [label =""]
3 -> 14 [label =""]
4 -> 15 [label =""]
4 -> 18 [label =""]
5 -> 25 [label =""]
5 -> 28 [label =""]
5 -> 49 [label =""]
8 -> 17 [label =""]
8 -> 20 [label =""]
8 -> 32 [label =""]
11 -> 27 [label =""]
11 -> 38 [label =""]
12 -> 8 [label =""]
12 -> 9 [label =""]
12 -> 19 [label =""]
12 -> 55 [label =""]
12 -> 68 [label =""]
13 -> 24 [label =""]
14 -> 37 [label =""]
15 -> 34 [label =""]
17 -> 52 [label =""]
18 -> 43 [label =""]
19 -> 41 [label =""]
24 -> 59 [label =""]
25 -> 65 [label =""]
30 -> 4 [label =""]
30 -> 57 [label =""]
32 -> 50 [label =""]
46 -> 5 [label =""]
57 -> 11 [label =""]
}

Making msg graph for projection Vowel
digraph G
{
node [shape = circle]
27 -> 1 [label =""]
27 -> 2 [label =""]
27 -> 8 [label =""]
27 -> 9 [label =""]
27 -> 11 [label =""]
27 -> 12 [label =""]
27 -> 17 [label =""]
27 -> 20 [label =""]
27 -> 30 [label =""]
27 -> 55 [label =""]
27 -> 57 [label =""]
27 -> 68 [label =""]
34 -> 1 [label =""]
34 -> 2 [label =""]
34 -> 3 [label =""]
34 -> 4 [label =""]
34 -> 5 [label =""]
34 -> 12 [label =""]
34 -> 13 [label =""]
34 -> 14 [label =""]
34 -> 15 [label =""]
34 -> 18 [label =""]
34 -> 24 [label =""]
34 -> 30 [label =""]
34 -> 46 [label =""]
34 -> 57 [label =""]
38 -> 1 [label =""]
38 -> 2 [label =""]
38 -> 4 [label =""]
38 -> 5 [label =""]
38 -> 11 [label =""]
38 -> 12 [label =""]
38 -> 15 [label =""]
38 -> 25 [label =""]
38 -> 28 [label =""]
38 -> 30 [label =""]
38 -> 46 [label =""]
38 -> 55 [label =""]
38 -> 57 [label =""]
38 -> 68 [label =""]
43 -> 1 [label =""]
43 -> 2 [label =""]
43 -> 3 [label =""]
43 -> 4 [label =""]
43 -> 13 [label =""]
43 -> 18 [label =""]
43 -> 30 [label =""]
43 -> 46 [label =""]
50 -> 1 [label =""]
50 -> 2 [label =""]
50 -> 3 [label =""]
50 -> 8 [label =""]
50 -> 9 [label =""]
50 -> 12 [label =""]
50 -> 14 [label =""]
50 -> 19 [label =""]
50 -> 32 [label =""]
50 -> 37 [label =""]
52 -> 1 [label =""]
52 -> 2 [label =""]
52 -> 8 [label =""]
52 -> 9 [label =""]
52 -> 12 [label =""]
52 -> 17 [label =""]
52 -> 19 [label =""]
52 -> 20 [label =""]
52 -> 32 [label =""]
52 -> 41 [label =""]
52 -> 55 [label =""]
52 -> 68 [label =""]
59 -> 1 [label =""]
59 -> 2 [label =""]
59 -> 3 [label =""]
59 -> 5 [label =""]
59 -> 12 [label =""]
59 -> 13 [label =""]
59 -> 14 [label =""]
59 -> 19 [label =""]
59 -> 24 [label =""]
59 -> 37 [label =""]
59 -> 46 [label =""]
59 -> 49 [label =""]
65 -> 1 [label =""]
65 -> 2 [label =""]
65 -> 5 [label =""]
65 -> 12 [label =""]
65 -> 19 [label =""]
65 -> 25 [label =""]
65 -> 28 [label =""]
65 -> 41 [label =""]
65 -> 46 [label =""]
65 -> 49 [label =""]
65 -> 55 [label =""]
65 -> 68 [label =""]
}
number of transitions: 94

digraph G
{
graph [size = "7.5,7.5" rankdir = LR]
node [shape = circle]
0 [style = bold]
0 -> 1 [label =""]
1 -> 6 [label =""]
1 -> 26 [label =""]
2 -> 3 [label =""]
2 -> 12 [label =""]
2 -> 30 [label =""]
3 -> 13 [label =""]
3 -> 14 [label =""]
4 -> 15 [label =""]
4 -> 18 [label =""]
5 -> 49 [label =""]
6 -> 44 [label =""]
7 -> 10 [label =""]
7 -> 47 [label =""]
8 -> 9 [label =""]
8 -> 17 [label =""]
9 -> 20 [label =""]
9 -> 32 [label =""]
10 -> 16 [label =""]
11 -> 27 [label =""]
11 -> 38 [label =""]
12 -> 19 [label =""]
13 -> 24 [label =""]
14 -> 37 [label =""]
15 -> 34 [label =""]
18 -> 43 [label =""]
19 -> 41 [label =""]
20 -> 52 [label =""]
21 -> 33 [label =""]
22 -> 31 [label =""]
22 -> 54 [label =""]
23 -> 29 [label =""]
23 -> 36 [label =""]
24 -> 59 [label =""]
25 -> 28 [label =""]
26 -> 7 [label =""]
26 -> 35 [label =""]
28 -> 65 [label =""]
29 -> 40 [label =""]
29 -> 48 [label =""]
30 -> 4 [label =""]
30 -> 57 [label =""]
32 -> 50 [label =""]
35 -> 23 [label =""]
35 -> 45 [label =""]
36 -> 42 [label =""]
39 -> 56 [label =""]
39 -> 62 [label =""]
40 -> 53 [label =""]
40 -> 64 [label =""]
42 -> 58 [label =""]
42 -> 63 [label =""]
44 -> 60 [label =""]
45 -> 21 [label =""]
45 -> 22 [label =""]
45 -> 39 [label =""]
46 -> 25 [label =""]
46 -> 51 [label =""]
47 -> 61 [label =""]
51 -> 5 [label =""]
55 -> 68 [label =""]
57 -> 11 [label =""]
60 -> 2 [label =""]
60 -> 8 [label =""]
60 -> 46 [label =""]
60 -> 55 [label =""]
61 -> 66 [label =""]
61 -> 67 [label =""]
}

Making msg graph for projection default
digraph G
{
node [shape = circle]
27 -> 1 [label =""]
27 -> 2 [label =""]
27 -> 6 [label =""]
27 -> 8 [label =""]
27 -> 9 [label =""]
27 -> 11 [label =""]
27 -> 12 [label =""]
27 -> 17 [label =""]
27 -> 20 [label =""]
27 -> 30 [label =""]
27 -> 44 [label =""]
27 -> 55 [label =""]
27 -> 57 [label =""]
27 -> 60 [label =""]
27 -> 68 [label =""]
31 -> 1 [label =""]
31 -> 6 [label =""]
31 -> 7 [label =""]
31 -> 10 [label =""]
31 -> 16 [label =""]
31 -> 22 [label =""]
31 -> 26 [label =""]
31 -> 35 [label =""]
31 -> 45 [label =""]
34 -> 1 [label =""]
34 -> 2 [label =""]
34 -> 3 [label =""]
34 -> 4 [label =""]
34 -> 5 [label =""]
34 -> 6 [label =""]
34 -> 12 [label =""]
34 -> 13 [label =""]
34 -> 14 [label =""]
34 -> 15 [label =""]
34 -> 18 [label =""]
34 -> 24 [label =""]
34 -> 30 [label =""]
34 -> 44 [label =""]
34 -> 46 [label =""]
34 -> 51 [label =""]
34 -> 57 [label =""]
34 -> 60 [label =""]
38 -> 1 [label =""]
38 -> 2 [label =""]
38 -> 4 [label =""]
38 -> 5 [label =""]
38 -> 6 [label =""]
38 -> 11 [label =""]
38 -> 12 [label =""]
38 -> 15 [label =""]
38 -> 25 [label =""]
38 -> 28 [label =""]
38 -> 30 [label =""]
38 -> 44 [label =""]
38 -> 46 [label =""]
38 -> 51 [label =""]
38 -> 55 [label =""]
38 -> 57 [label =""]
38 -> 60 [label =""]
38 -> 68 [label =""]
43 -> 1 [label =""]
43 -> 2 [label =""]
43 -> 3 [label =""]
43 -> 4 [label =""]
43 -> 6 [label =""]
43 -> 13 [label =""]
43 -> 18 [label =""]
43 -> 30 [label =""]
43 -> 44 [label =""]
43 -> 46 [label =""]
43 -> 51 [label =""]
43 -> 60 [label =""]
50 -> 1 [label =""]
50 -> 2 [label =""]
50 -> 3 [label =""]
50 -> 6 [label =""]
50 -> 8 [label =""]
50 -> 9 [label =""]
50 -> 12 [label =""]
50 -> 14 [label =""]
50 -> 19 [label =""]
50 -> 32 [label =""]
50 -> 37 [label =""]
50 -> 44 [label =""]
50 -> 60 [label =""]
52 -> 1 [label =""]
52 -> 2 [label =""]
52 -> 6 [label =""]
52 -> 8 [label =""]
52 -> 9 [label =""]
52 -> 12 [label =""]
52 -> 17 [label =""]
52 -> 19 [label =""]
52 -> 20 [label =""]
52 -> 32 [label =""]
52 -> 41 [label =""]
52 -> 44 [label =""]
52 -> 55 [label =""]
52 -> 60 [label =""]
52 -> 68 [label =""]
53 -> 1 [label =""]
53 -> 21 [label =""]
53 -> 23 [label =""]
53 -> 26 [label =""]
53 -> 29 [label =""]
53 -> 35 [label =""]
53 -> 40 [label =""]
53 -> 45 [label =""]
54 -> 1 [label =""]
54 -> 21 [label =""]
54 -> 22 [label =""]
54 -> 26 [label =""]
54 -> 33 [label =""]
54 -> 35 [label =""]
54 -> 45 [label =""]
56 -> 1 [label =""]
56 -> 6 [label =""]
56 -> 7 [label =""]
56 -> 10 [label =""]
56 -> 16 [label =""]
56 -> 26 [label =""]
56 -> 35 [label =""]
56 -> 39 [label =""]
56 -> 45 [label =""]
58 -> 1 [label =""]
58 -> 6 [label =""]
58 -> 7 [label =""]
58 -> 10 [label =""]
58 -> 16 [label =""]
58 -> 23 [label =""]
58 -> 26 [label =""]
58 -> 29 [label =""]
58 -> 35 [label =""]
58 -> 36 [label =""]
58 -> 42 [label =""]
58 -> 45 [label =""]
58 -> 48 [label =""]
59 -> 1 [label =""]
59 -> 2 [label =""]
59 -> 3 [label =""]
59 -> 5 [label =""]
59 -> 6 [label =""]
59 -> 12 [label =""]
59 -> 13 [label =""]
59 -> 14 [label =""]
59 -> 19 [label =""]
59 -> 24 [label =""]
59 -> 37 [label =""]
59 -> 44 [label =""]
59 -> 46 [label =""]
59 -> 49 [label =""]
59 -> 51 [label =""]
59 -> 60 [label =""]
62 -> 1 [label =""]
62 -> 21 [label =""]
62 -> 26 [label =""]
62 -> 33 [label =""]
62 -> 35 [label =""]
62 -> 39 [label =""]
62 -> 45 [label =""]
63 -> 1 [label =""]
63 -> 6 [label =""]
63 -> 7 [label =""]
63 -> 10 [label =""]
63 -> 23 [label =""]
63 -> 26 [label =""]
63 -> 35 [label =""]
63 -> 36 [label =""]
63 -> 42 [label =""]
63 -> 44 [label =""]
63 -> 47 [label =""]
64 -> 1 [label =""]
64 -> 21 [label =""]
64 -> 23 [label =""]
64 -> 26 [label =""]
64 -> 29 [label =""]
64 -> 33 [label =""]
64 -> 35 [label =""]
64 -> 36 [label =""]
64 -> 40 [label =""]
64 -> 45 [label =""]
64 -> 48 [label =""]
65 -> 1 [label =""]
65 -> 2 [label =""]
65 -> 5 [label =""]
65 -> 6 [label =""]
65 -> 12 [label =""]
65 -> 19 [label =""]
65 -> 25 [label =""]
65 -> 28 [label =""]
65 -> 41 [label =""]
65 -> 44 [label =""]
65 -> 46 [label =""]
65 -> 49 [label =""]
65 -> 51 [label =""]
65 -> 55 [label =""]
65 -> 60 [label =""]
65 -> 68 [label =""]
66 -> 1 [label =""]
66 -> 6 [label =""]
66 -> 7 [label =""]
66 -> 8 [label =""]
66 -> 17 [label =""]
66 -> 26 [label =""]
66 -> 44 [label =""]
66 -> 47 [label =""]
66 -> 55 [label =""]
66 -> 60 [label =""]
66 -> 61 [label =""]
67 -> 1 [label =""]
67 -> 6 [label =""]
67 -> 7 [label =""]
67 -> 25 [label =""]
67 -> 26 [label =""]
67 -> 44 [label =""]
67 -> 46 [label =""]
67 -> 47 [label =""]
67 -> 55 [label =""]
67 -> 60 [label =""]
67 -> 61 [label =""]
}
number of transitions: 220
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.015

Selecting a new constraint
accuracy thresholds (by projection): 0.01, 0.01, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	number of constraints evaluated: 7 (0.14702793530770847%)
Compiling new constraint *[+word_boundary][+word_boundary]	(tier=Vowel) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 4 states, 39 transitions
new constraint:	*[+word_boundary][+word_boundary]	(tier=Vowel)	O = 0.0	E = 4015.072765072765


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	19.30581689018479
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.016
Selecting a constraint on projection default
	Searching constraints of size 1
	number of constraints evaluated: 59 (85.5072463768116%)
Compiling new constraint *[+voice]	(tier=default) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 4 states, 39 transitions
new constraint:	*[+voice]	(tier=default)	O = 0.0	E = 13266.632016632017


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	19.118602587063183
1	*[+voice]	(tier=default)	weight=	20.0
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.032

Selecting a new constraint
accuracy thresholds (by projection): 0.01, 0.01, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	number of constraints evaluated: 294 (6.175173282923756%)
Compiling new constraint *[+ATR][-ATR]	(tier=Vowel) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 5 states, 58 transitions
new constraint:	*[+ATR][-ATR]	(tier=Vowel)	O = 0.0	E = 18490.124740124742


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	19.378450720888353
1	*[+voice]	(tier=default)	weight=	20.0
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	20.0
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.016
Selecting a constraint on projection default
	Searching constraints of size 1
	Searching constraints of size 2
	number of constraints evaluated: 42 (0.8821676118462508%)
Compiling new constraint *[-syllabic][-syllabic]	(tier=default) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 8 states, 115 transitions
new constraint:	*[-syllabic][-syllabic]	(tier=default)	O = 0.0	E = 65566.52806652806


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	20.0
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	20.0
3	*[-syllabic][-syllabic]	(tier=default)	weight=	20.0
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.032

Selecting a new constraint
accuracy thresholds (by projection): 0.01, 0.01, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	number of constraints evaluated: 319 (6.700273051879857%)
Compiling new constraint *[-ATR][+ATR]	(tier=Vowel) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 8 states, 115 transitions
new constraint:	*[-ATR][+ATR]	(tier=Vowel)	O = 0.0	E = 23063.92931392931


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	20.0
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	20.0
3	*[-syllabic][-syllabic]	(tier=default)	weight=	20.0
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	20.0
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.046
Selecting a constraint on projection default
	Searching constraints of size 1
	Searching constraints of size 2
	number of constraints evaluated: 63 (1.3232514177693762%)
Compiling new constraint *[+word_boundary][+syllabic]	(tier=default) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 8 states, 115 transitions
new constraint:	*[+word_boundary][+syllabic]	(tier=default)	O = 0.0	E = 23050.935550935552


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	20.0
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	20.0
3	*[-syllabic][-syllabic]	(tier=default)	weight=	20.0
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	20.0
5	*[+word_boundary][+syllabic]	(tier=default)	weight=	20.0
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.032

Selecting a new constraint
accuracy thresholds (by projection): 0.01, 0.01, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	number of constraints evaluated: 1012 (21.256038647342994%)
Compiling new constraint *[+high,+back][-high,-low,+back]	(tier=Vowel) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 12 states, 191 transitions
new constraint:	*[+high,+back][-high,-low,+back]	(tier=Vowel)	O = 0.0	E = 5470.37422037422


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	20.0
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	20.0
3	*[-syllabic][-syllabic]	(tier=default)	weight=	20.0
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	19.999999999999982
5	*[+word_boundary][+syllabic]	(tier=default)	weight=	14.939479984646743
6	*[+high,+back][-high,-low,+back]	(tier=Vowel)	weight=	19.99977543785872
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.047
Selecting a constraint on projection default
	Searching constraints of size 1
	Searching constraints of size 2
	number of constraints evaluated: 423 (8.88468809073724%)
Compiling new constraint *[+syllabic][+word_boundary]	(tier=default) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 12 states, 191 transitions
new constraint:	*[+syllabic][+word_boundary]	(tier=default)	O = 0.0	E = 19269.75051975052


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	20.0
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	20.0
3	*[-syllabic][-syllabic]	(tier=default)	weight=	20.0
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	20.0
5	*[+word_boundary][+syllabic]	(tier=default)	weight=	14.890841983294015
6	*[+high,+back][-high,-low,+back]	(tier=Vowel)	weight=	19.999653422272885
7	*[+syllabic][+word_boundary]	(tier=default)	weight=	14.890841983294013
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.016

Selecting a new constraint
accuracy thresholds (by projection): 0.01, 0.01, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	number of constraints evaluated: 1362 (28.607435412728417%)
Compiling new constraint *[+word_boundary][-back,-ATR]	(tier=Vowel) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 12 states, 191 transitions
new constraint:	*[+word_boundary][-back,-ATR]	(tier=Vowel)	O = 0.0	E = 6769.75051975052


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	20.0
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	20.0
3	*[-syllabic][-syllabic]	(tier=default)	weight=	20.0
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	18.506748716391098
5	*[+word_boundary][+syllabic]	(tier=default)	weight=	14.826762122588597
6	*[+high,+back][-high,-low,+back]	(tier=Vowel)	weight=	19.999704837899152
7	*[+syllabic][+word_boundary]	(tier=default)	weight=	14.82704664579817
8	*[+word_boundary][-back,-ATR]	(tier=Vowel)	weight=	18.845078079105985
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.031
Selecting a constraint on projection default
	Searching constraints of size 1
	Searching constraints of size 2
	number of constraints evaluated: 429 (9.010712035286703%)
Compiling new constraint *[+syllabic][+syllabic]	(tier=default) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 12 states, 191 transitions
new constraint:	*[+syllabic][+syllabic]	(tier=default)	O = 0.0	E = 31288.98128898129


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	19.737499904968224
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	17.7296456728707
3	*[-syllabic][-syllabic]	(tier=default)	weight=	19.986242983307267
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	20.0
5	*[+word_boundary][+syllabic]	(tier=default)	weight=	19.987079250346266
6	*[+high,+back][-high,-low,+back]	(tier=Vowel)	weight=	18.29194829440633
7	*[+syllabic][+word_boundary]	(tier=default)	weight=	19.986746554752912
8	*[+word_boundary][-back,-ATR]	(tier=Vowel)	weight=	19.996903617105712
9	*[+syllabic][+syllabic]	(tier=default)	weight=	13.805877697972495
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.031

Selecting a new constraint
accuracy thresholds (by projection): 0.01, 0.01, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	number of constraints evaluated: 1365 (28.67044738500315%)
Compiling new constraint *[-high,-low][+low]	(tier=Vowel) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 16 states, 267 transitions
new constraint:	*[-high,-low][+low]	(tier=Vowel)	O = 0.0	E = 1936.0706860706862


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	17.45071553859524
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	20.0
3	*[-syllabic][-syllabic]	(tier=default)	weight=	19.989018929170225
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	19.210163890551726
5	*[+word_boundary][+syllabic]	(tier=default)	weight=	19.989672404172424
6	*[+high,+back][-high,-low,+back]	(tier=Vowel)	weight=	18.425648496666206
7	*[+syllabic][+word_boundary]	(tier=default)	weight=	19.989285132433686
8	*[+word_boundary][-back,-ATR]	(tier=Vowel)	weight=	19.997628913970424
9	*[+syllabic][+syllabic]	(tier=default)	weight=	14.280454083029682
10	*[-high,-low][+low]	(tier=Vowel)	weight=	17.262078038957448
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.031
Selecting a constraint on projection default
	Searching constraints of size 1
	Searching constraints of size 2
	Searching constraints of size 3
	number of constraints evaluated: 127138 (38.70152720321209%)
Compiling new constraint *[+low][-word_boundary][-high,-low]	(tier=default) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 25 states, 438 transitions
new constraint:	*[+low][-word_boundary][-high,-low]	(tier=default)	O = 0.0	E = 1585.2390852390854


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	16.93447439145012
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	20.0
3	*[-syllabic][-syllabic]	(tier=default)	weight=	19.989559491376415
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	18.350102697314778
5	*[+word_boundary][+syllabic]	(tier=default)	weight=	19.990122143633773
6	*[+high,+back][-high,-low,+back]	(tier=Vowel)	weight=	18.768441423200276
7	*[+syllabic][+word_boundary]	(tier=default)	weight=	19.98971103929502
8	*[+word_boundary][-back,-ATR]	(tier=Vowel)	weight=	19.997818289987176
9	*[+syllabic][+syllabic]	(tier=default)	weight=	14.518984837224792
10	*[-high,-low][+low]	(tier=Vowel)	weight=	16.940495116754306
11	*[+low][-word_boundary][-high,-low]	(tier=default)	weight=	15.276236279459017
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.031

Selecting a new constraint
accuracy thresholds (by projection): 0.01, 0.01, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	number of constraints evaluated: 1347 (28.29237555135476%)
Compiling new constraint *[-high,-back][-high,+back]	(tier=Vowel) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 28 states, 495 transitions
new constraint:	*[-high,-back][-high,+back]	(tier=Vowel)	O = 0.0	E = 2091.995841995842


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	17.55521259569441
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	18.913864532992566
3	*[-syllabic][-syllabic]	(tier=default)	weight=	19.987734247545127
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	18.83806423944588
5	*[+word_boundary][+syllabic]	(tier=default)	weight=	19.988188995612575
6	*[+high,+back][-high,-low,+back]	(tier=Vowel)	weight=	19.101671431981842
7	*[+syllabic][+word_boundary]	(tier=default)	weight=	19.987718957905106
8	*[+word_boundary][-back,-ATR]	(tier=Vowel)	weight=	19.99791939494366
9	*[+syllabic][+syllabic]	(tier=default)	weight=	15.053064129761147
10	*[-high,-low][+low]	(tier=Vowel)	weight=	20.0
11	*[+low][-word_boundary][-high,-low]	(tier=default)	weight=	15.543900578370726
12	*[-high,-back][-high,+back]	(tier=Vowel)	weight=	15.302416514434029
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.032
Selecting a constraint on projection default
	Searching constraints of size 1
	Searching constraints of size 2
	Searching constraints of size 3
	number of constraints evaluated: 127179 (38.71400783540177%)

Selecting a new constraint
accuracy thresholds (by projection): 0.01, 0.1, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	Searching constraints of size 3
	number of constraints evaluated: 4601 (1.4005704562127674%)
Compiling new constraint *[+word_boundary][-back][-high,+back]	(tier=Vowel) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 34 states, 609 transitions
new constraint:	*[+word_boundary][-back][-high,+back]	(tier=Vowel)	O = 0.0	E = 1806.1330561330562


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	20.0
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	17.25029758446248
3	*[-syllabic][-syllabic]	(tier=default)	weight=	19.99018401849101
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	17.31360813878588
5	*[+word_boundary][+syllabic]	(tier=default)	weight=	19.990551640534118
6	*[+high,+back][-high,-low,+back]	(tier=Vowel)	weight=	19.994863686925537
7	*[+syllabic][+word_boundary]	(tier=default)	weight=	19.99014551723452
8	*[+word_boundary][-back,-ATR]	(tier=Vowel)	weight=	18.748884959078918
9	*[+syllabic][+syllabic]	(tier=default)	weight=	15.390000987801674
10	*[-high,-low][+low]	(tier=Vowel)	weight=	17.678785489565197
11	*[+low][-word_boundary][-high,-low]	(tier=default)	weight=	14.71553004740228
12	*[-high,-back][-high,+back]	(tier=Vowel)	weight=	14.694855495412362
13	*[+word_boundary][-back][-high,+back]	(tier=Vowel)	weight=	14.62921839685152
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.047
Selecting a constraint on projection default
	Searching constraints of size 1
	Searching constraints of size 2
	Searching constraints of size 3
	number of constraints evaluated: 127179 (38.71400783540177%)

Selecting a new constraint
accuracy thresholds (by projection): 0.01, 0.2, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	Searching constraints of size 3
	number of constraints evaluated: 11806 (3.5938132593018763%)
Compiling new constraint *[+high][+ATR][-high,+back]	(tier=Vowel) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 51 states, 932 transitions
new constraint:	*[+high][+ATR][-high,+back]	(tier=Vowel)	O = 0.0	E = 493.7629937629938


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	20.0
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	17.923221918962252
3	*[-syllabic][-syllabic]	(tier=default)	weight=	19.993935745015186
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	16.865873756494107
5	*[+word_boundary][+syllabic]	(tier=default)	weight=	19.023297648690857
6	*[+high,+back][-high,-low,+back]	(tier=Vowel)	weight=	19.99644101747184
7	*[+syllabic][+word_boundary]	(tier=default)	weight=	19.022888934465417
8	*[+word_boundary][-back,-ATR]	(tier=Vowel)	weight=	19.68454705855915
9	*[+syllabic][+syllabic]	(tier=default)	weight=	15.465608244056805
10	*[-high,-low][+low]	(tier=Vowel)	weight=	14.695514092992273
11	*[+low][-word_boundary][-high,-low]	(tier=default)	weight=	14.499482188438769
12	*[-high,-back][-high,+back]	(tier=Vowel)	weight=	12.79970149526651
13	*[+word_boundary][-back][-high,+back]	(tier=Vowel)	weight=	14.005822861486891
14	*[+high][+ATR][-high,+back]	(tier=Vowel)	weight=	19.994492193317246
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.053
Selecting a constraint on projection default
	Searching constraints of size 1
	Searching constraints of size 2
	Searching constraints of size 3
	number of constraints evaluated: 127179 (38.71400783540177%)

Selecting a new constraint
accuracy thresholds (by projection): 0.01, 0.3, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	Searching constraints of size 3
	number of constraints evaluated: 11815 (3.5965529102703426%)
Compiling new constraint *[+high][-ATR][-high,-low]	(tier=Vowel) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 69 states, 1274 transitions
new constraint:	*[+high][-ATR][-high,-low]	(tier=Vowel)	O = 0.0	E = 285.86278586278587


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	18.412477300753988
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	19.01347614656863
3	*[-syllabic][-syllabic]	(tier=default)	weight=	19.99693603945573
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	17.758827650518917
5	*[+word_boundary][+syllabic]	(tier=default)	weight=	10.037639206617113
6	*[+high,+back][-high,-low,+back]	(tier=Vowel)	weight=	19.848800417222453
7	*[+syllabic][+word_boundary]	(tier=default)	weight=	10.037573148586379
8	*[+word_boundary][-back,-ATR]	(tier=Vowel)	weight=	19.99860559974928
9	*[+syllabic][+syllabic]	(tier=default)	weight=	10.046042521092811
10	*[-high,-low][+low]	(tier=Vowel)	weight=	13.44567419714004
11	*[+low][-word_boundary][-high,-low]	(tier=default)	weight=	13.902629536395342
12	*[-high,-back][-high,+back]	(tier=Vowel)	weight=	20.0
13	*[+word_boundary][-back][-high,+back]	(tier=Vowel)	weight=	13.90035167266973
14	*[+high][+ATR][-high,+back]	(tier=Vowel)	weight=	13.63606428714577
15	*[+high][-ATR][-high,-low]	(tier=Vowel)	weight=	19.9970855226077
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.078
Selecting a constraint on projection default
	Searching constraints of size 1
	Searching constraints of size 2
	Searching constraints of size 3
	number of constraints evaluated: 127179 (38.71400783540177%)

Selecting a new constraint
accuracy thresholds (by projection): 0.01, 0.4, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	Searching constraints of size 3
	number of constraints evaluated: 36339 (11.061797393678711%)

Selecting a new constraint
accuracy thresholds (by projection): 0.1, 0.4, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	Searching constraints of size 3
	number of constraints evaluated: 14111 (4.295468312892494%)
Compiling new constraint *[-back][-word_boundary][-high,+back]	(tier=Vowel) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 120 states, 2243 transitions
new constraint:	*[-back][-word_boundary][-high,+back]	(tier=Vowel)	O = 0.0	E = 181.91268191268193


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	18.602163047271986
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	20.0
3	*[-syllabic][-syllabic]	(tier=default)	weight=	19.9965909003654
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	18.08539735543885
5	*[+word_boundary][+syllabic]	(tier=default)	weight=	10.259847243876552
6	*[+high,+back][-high,-low,+back]	(tier=Vowel)	weight=	19.482503394756908
7	*[+syllabic][+word_boundary]	(tier=default)	weight=	10.259756301361051
8	*[+word_boundary][-back,-ATR]	(tier=Vowel)	weight=	19.40154501268128
9	*[+syllabic][+syllabic]	(tier=default)	weight=	10.38741024864031
10	*[-high,-low][+low]	(tier=Vowel)	weight=	13.566397380853063
11	*[+low][-word_boundary][-high,-low]	(tier=default)	weight=	13.99196341448301
12	*[-high,-back][-high,+back]	(tier=Vowel)	weight=	20.0
13	*[+word_boundary][-back][-high,+back]	(tier=Vowel)	weight=	13.79762371165298
14	*[+high][+ATR][-high,+back]	(tier=Vowel)	weight=	12.289919679791572
15	*[+high][-ATR][-high,-low]	(tier=Vowel)	weight=	19.99673897487816
16	*[-back][-word_boundary][-high,+back]	(tier=Vowel)	weight=	11.954642228536311
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.124

Selecting a new constraint
accuracy thresholds (by projection): 0.1, 0.4, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	Searching constraints of size 3
	number of constraints evaluated: 36335 (11.060579771026061%)
Compiling new constraint *[-high,-low][-back][+low]	(tier=Vowel) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 126 states, 2357 transitions
new constraint:	*[-high,-low][-back][+low]	(tier=Vowel)	O = 0.0	E = 259.87525987525987


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	14.718453944968562
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	20.0
3	*[-syllabic][-syllabic]	(tier=default)	weight=	19.999126760038955
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	17.955469287483975
5	*[+word_boundary][+syllabic]	(tier=default)	weight=	9.599300340723401
6	*[+high,+back][-high,-low,+back]	(tier=Vowel)	weight=	19.330654391235637
7	*[+syllabic][+word_boundary]	(tier=default)	weight=	9.599281569703857
8	*[+word_boundary][-back,-ATR]	(tier=Vowel)	weight=	19.199711024507895
9	*[+syllabic][+syllabic]	(tier=default)	weight=	10.697421904352636
10	*[-high,-low][+low]	(tier=Vowel)	weight=	12.668433194084376
11	*[+low][-word_boundary][-high,-low]	(tier=default)	weight=	13.642139628330213
12	*[-high,-back][-high,+back]	(tier=Vowel)	weight=	18.282439744191578
13	*[+word_boundary][-back][-high,+back]	(tier=Vowel)	weight=	13.443752649925425
14	*[+high][+ATR][-high,+back]	(tier=Vowel)	weight=	17.065849687123038
15	*[+high][-ATR][-high,-low]	(tier=Vowel)	weight=	10.511544725025251
16	*[-back][-word_boundary][-high,+back]	(tier=Vowel)	weight=	20.0
17	*[-high,-low][-back][+low]	(tier=Vowel)	weight=	19.99913265436962
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.125

Selecting a new constraint
accuracy thresholds (by projection): 0.1, 0.4, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	Searching constraints of size 3
	number of constraints evaluated: 36318 (11.05540487475229%)
Compiling new constraint *[+low][-word_boundary][-high,-low]	(tier=Vowel) ...

Intersecting the new constraint with the grammar ...
expectation graph size: 137 states, 2566 transitions
new constraint:	*[+low][-word_boundary][-high,-low]	(tier=Vowel)	O = 0.0	E = 181.91268191268193


Current random field:
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	14.67976673205132
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	20.0
3	*[-syllabic][-syllabic]	(tier=default)	weight=	19.999135279922495
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	18.414175753419823
5	*[+word_boundary][+syllabic]	(tier=default)	weight=	9.07085604844198
6	*[+high,+back][-high,-low,+back]	(tier=Vowel)	weight=	18.83446964208241
7	*[+syllabic][+word_boundary]	(tier=default)	weight=	9.070853235701195
8	*[+word_boundary][-back,-ATR]	(tier=Vowel)	weight=	19.130951769938143
9	*[+syllabic][+syllabic]	(tier=default)	weight=	10.191125370353248
10	*[-high,-low][+low]	(tier=Vowel)	weight=	12.693433897463489
11	*[+low][-word_boundary][-high,-low]	(tier=default)	weight=	12.245482944201939
12	*[-high,-back][-high,+back]	(tier=Vowel)	weight=	18.237024300968756
13	*[+word_boundary][-back][-high,+back]	(tier=Vowel)	weight=	13.398760922988982
14	*[+high][+ATR][-high,+back]	(tier=Vowel)	weight=	17.276083599463227
15	*[+high][-ATR][-high,-low]	(tier=Vowel)	weight=	10.70157407517601
16	*[-back][-word_boundary][-high,+back]	(tier=Vowel)	weight=	20.0
17	*[-high,-low][-back][+low]	(tier=Vowel)	weight=	19.999144922357655
18	*[+low][-word_boundary][-high,-low]	(tier=Vowel)	weight=	11.547143104196952
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.141

Selecting a new constraint
accuracy thresholds (by projection): 0.1, 0.4, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	Searching constraints of size 3
	number of constraints evaluated: 36339 (11.061797393678711%)

Selecting a new constraint
accuracy thresholds (by projection): 0.2, 0.4, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	Searching constraints of size 3
	number of constraints evaluated: 36339 (11.061797393678711%)

Selecting a new constraint
accuracy thresholds (by projection): 0.3, 0.4, 
Selecting a constraint on projection Vowel
	Searching constraints of size 1
	Searching constraints of size 2
	Searching constraints of size 3
	number of constraints evaluated: 36339 (11.061797393678711%)

Selecting a new constraint
accuracy thresholds (by projection): 0.4, 0.4, 
--- starting minimization ---
... current parameter settings ...
...   tolx   ... 4.9E-324
...   tolfx   ... 4.9E-324
... maxFun  ... 500

... start vector ...
1.0  1.0  1.0  1.0  1.0  1.0  1.0  1.0  1.0  1.0  1.0  1.0  1.0  1.0  1.0  1.0  1.0  1.0  1.0  

... start direction ...
988.1559506127729  6462.61758799134  3589.951891270072  38630.043739380606  5575.672287561103  11620.050317755336  437.7089445773141  13824.311035027586  2392.8005318656105  14846.41204182801  320.9816119360232  371.4167096253474  195.13070176047887  501.24093332817745  436.44465232657336  717.8779087095718  1231.3113431066693  190.83313614124904  457.6033428770277  

Function value: 0.0

... new vector ...
1.4860197205136203  4.178607174256445  2.765700458283381  20.0  3.7423674220607954  6.715265494568436  1.2152850253827414  7.799420457237506  2.176887357730327  8.302135889304461  1.15787325191577  1.1826795105512027  1.0959740910070361  1.2465329264829892  1.2146631893598228  1.3530847740557221  1.6056145231639292  1.0938603541623084  1.2250699888750096  

... new direction ...
-1.4860195910557035E-6  273.6137869756776  768.5341094240079  0.0  477.67928434655926  152.06731124107628  62.013331540333354  56.94639686111082  1747.6093802064472  21.154150733014983  48.19965050623032  319.34287461525474  23.19633599257635  166.75117426761147  658.2368910711773  192.10153153094006  327.0731724232307  689.5113046800825  364.1166404607815  
... numFun  ... 2
... numGrad  ... 5
... numLin  ... 1


Function value: 0.0

... new vector ...
1.4860197053583488  6.969075914570368  10.603647631622756  20.0  8.614011960145017  8.266134268880354  1.8477321877086892  8.380192143017238  20.0  8.517877928478878  1.6494406525148047  4.439519448719491  1.3325434948830805  2.947156072515366  7.927736710098817  3.312245255801363  4.94129242715589  8.125888100534151  4.938538210870179  

... new direction ...
-1.4860195605641558E-6  16.878590262640614  0.2995305411554744  0.0  3.663512720302336  34.34660308781282  0.31550478860222736  33.41214149343457  0.0  16.036728482558544  0.8276574426134654  9.91147806566103  0.5225666868432711  28.75067995334606  0.8885212153864921  0.9364177361036298  6.2315400186123595  0.7286261925575286  9.89186329874125  
... numFun  ... 3
... numGrad  ... 12
... numLin  ... 2


Function value: 0.0

... new vector ...
1.4860191976879409  12.73532625863082  10.705976561889955  20.0  9.865581620596522  20.0  1.9555184167432988  19.794816787870246  20.0  13.996522157128474  1.9321941253446764  7.825588007582903  1.5110684955446658  12.769280763811548  8.231283136915497  3.632154620799901  7.070179924110178  8.374809424421363  8.317905756512708  

... new direction ...
-1.486019052460877E-6  0.052864198339416496  0.26857819613470507  0.0  1.0462172027009244  0.0  0.014104509223038332  3.4969114076968655E-4  0.0  0.06678329512235218  0.06970480789170608  0.33337786580878087  0.05150062746857475  0.0015500535290806374  0.6575556824352301  0.07073236879432222  0.6786708415839543  0.5696127638266335  0.3371142172996991  
... numFun  ... 4
... numGrad  ... 19
... numLin  ... 3


Function value: 0.0

... new vector ...
1.4860048030299688  13.247407212643354  13.307619700798153  20.0  20.0  20.0  2.09214491947467  19.798204149801386  20.0  14.643433574545272  2.6074054336722394  11.054927729599147  2.009940913452648  12.78429570615203  14.60084423412274  4.317319629057598  13.644277762262247  13.892491649455136  11.583438488091133  

... new direction ...
-1.4860046578008005E-6  0.03167326468144073  0.01983614244632026  0.0  0.0  0.0  2.525333896214704E-4  3.484230233326971E-4  0.0  0.034863799520800445  1.6617499762811074E-4  0.013124477062799381  4.164371463951455E-5  0.0015269305420849743  0.001111907921587772  1.19165109054249E-4  8.118926110031633E-4  0.0022736407206251637  0.012849601160537722  
... numFun  ... 5
... numGrad  ... 26
... numLin  ... 4


Function value: 0.0

... new vector ...
1.4857764893416316  18.113771421625337  16.35529712262085  20.0  20.0  20.0  2.130944817785971  19.851736785208086  20.0  20.0  2.6329370000901133  13.071407119468807  2.016339163979994  13.018897355661112  14.771680709860869  4.335628471783269  13.769019091691348  14.24181982696434  13.557685216877973  

... new direction ...
-1.485776344079294E-6  2.259141333243587E-4  9.257758762699418E-4  0.0  0.0  0.0  1.4384857044389111E-5  3.2917612024636477E-4  0.0  0.0  4.209135247132907E-5  0.0017354349838182273  3.627180732691331E-5  0.0012047163432559599  9.348293377300845E-4  4.304548008285611E-5  7.12662906377124E-4  0.0015988414532810474  0.0017720493262055293  
... numFun  ... 6
... numGrad  ... 32
... numLin  ... 5


Function value: 0.0

... new vector ...
1.4851072853390141  18.215524719065414  16.772273018350635  20.0  20.0  20.0  2.137423857480974  20.0  20.0  20.0  2.6518952380925183  13.853059110417215  2.0326762383600436  13.561509978441304  15.192734347621487  4.35501645550022  14.090007423054331  14.961949141413424  14.355828562380808  

... new direction ...
-1.4851071399794334E-6  2.022032586095175E-4  6.04085844447634E-4  0.0  0.0  0.0  7.288709437437795E-6  0.0  0.0  0.0  2.9045955256934132E-5  7.862831984601778E-4  2.529267656216003E-5  6.942200394373342E-4  6.080826392828986E-4  2.7371639293725982E-5  5.112933247476507E-4  7.701085924966382E-4  7.894329408032987E-4  
... numFun  ... 7
... numGrad  ... 36
... numLin  ... 6


Function value: 0.0

... new vector ...
1.4771721211062967  19.295928968875543  20.0  20.0  20.0  20.0  2.1763685941088156  20.0  20.0  20.0  2.807092408084661  18.054295603896215  2.1678190418674865  17.270838334815018  18.44181684132013  4.501267488349892  16.82192917721201  19.076762136368302  18.57389463139047  

... new direction ...
-1.4771719745886754E-6  5.55270513172463E-5  0.0  0.0  0.0  0.0  -1.1650133651320316E-6  0.0  0.0  0.0  -8.918490799615721E-7  -6.077538252261517E-6  -6.13946450423388E-7  6.554220879996021E-8  5.747379508441814E-6  -2.788453024717764E-6  1.661825271018813E-5  -6.257347325279211E-6  -6.738775279019079E-6  
... numFun  ... 8
... numGrad  ... 42
... numLin  ... 7


Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
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Function value: 0.0

... new vector ...
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... new direction ...
-6.126648558620373E-12  0.0  0.0  0.0  0.0  0.0  -8.950841967715719E-13  0.0  0.0  0.0  8.010498620605312E-14  -1.9289286048804726E-12  -2.1225453167911503E-12  -1.7759377977782405E-14  3.072547244794158E-13  3.2757689595289024E-13  4.3060602260783547E-13  7.750224380633123E-13  3.6296882632102204E-12  
... numFun  ... 31
... numGrad  ... 115
... numLin  ... 30


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715383737167116  20.0  20.0  20.0  2.0596977022738012  17.674845702498313  1.4089169192620397  17.274418825624654  18.699240045746212  3.2027304653500477  17.678760332259557  18.699240037214906  18.148858745163814  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  -4.5455946542623596E-13  0.0  0.0  0.0  -2.41840251946309E-13  -1.501517131658782E-12  -4.517157589818688E-14  -1.379172926037342E-14  2.635167102159764E-13  -4.3991456858248775E-13  4.255259373217666E-13  3.770652274573058E-13  2.798570267669928E-12  
... numFun  ... 32
... numGrad  ... 119
... numLin  ... 31


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715383488324932  20.0  20.0  20.0  2.059697689034597  17.67484562029987  1.4089169167891853  17.274418824869645  18.699240060172063  3.2027304412675432  17.678760355554378  18.699240057856812  18.148858898367607  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  -4.214734342431913E-13  0.0  0.0  0.0  -2.4360584543936533E-13  -1.403456762402993E-14  -7.363639270977686E-14  -4.832755234528149E-16  -1.1320369734484094E-14  -3.8277668890514663E-13  1.0481447141405257E-13  -1.619832188639723E-14  -3.251517567538757E-14  
... numFun  ... 33
... numGrad  ... 123
... numLin  ... 32


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.771538229572521  20.0  20.0  20.0  2.059697620103974  17.674845616328653  1.408916895953058  17.274418824732898  18.699240056968854  3.2027303329571883  17.678760385212644  18.699240053273343  18.148858889167123  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  -7.652772965176095E-14  0.0  0.0  0.0  -9.203688415505005E-14  1.3726225580332936E-13  -7.187646849066809E-14  2.4504648518276214E-15  4.1171218708484377E-14  3.2567478049718514E-14  2.5552788620159405E-14  5.891190883960943E-14  5.705477209587636E-14  
... numFun  ... 34
... numGrad  ... 128
... numLin  ... 33


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382238018063  20.0  20.0  20.0  2.0596976131637623  17.67484562667917  1.4089168905330802  17.274418824917678  18.699240060073446  3.202730335412999  17.6787603871395  18.699240057715706  18.148858893469445  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  -3.991135438892672E-14  0.0  0.0  0.0  -7.489959436531636E-14  -1.2305213267330563E-14  -7.566381321799604E-14  -1.0927889047533147E-16  -5.9014739092409645E-15  7.089269062286413E-14  1.9784210289469245E-16  -8.44443992667013E-15  -3.1398290888232725E-15  
... numFun  ... 35
... numGrad  ... 130
... numLin  ... 34


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382145344392  20.0  20.0  20.0  2.0596975957721693  17.674845623821913  1.4089168729640367  17.274418824892305  18.699240058703133  3.202730351874194  17.67876038718544  18.699240055754917  18.14885889274038  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  -1.6819038189704423E-16  0.0  0.0  0.0  4.449159686245274E-15  -5.973062345802619E-15  -1.3621119811589446E-14  -4.1220933579244704E-16  8.073087388453154E-15  -3.8344713959098555E-16  3.330364226769589E-15  1.1551887795608245E-14  -5.787204057214528E-15  
... numFun  ... 36
... numGrad  ... 134
... numLin  ... 35


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382145211196  20.0  20.0  20.0  2.059697596124515  17.674845623348883  1.4089168718853295  17.27441882485966  18.699240059342472  3.2027303518438273  17.678760387449184  18.699240056669755  18.14885889228207  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  1.0975783705691394E-15  0.0  0.0  0.0  7.448339646908534E-15  7.379735356216317E-16  -1.462073571844941E-14  1.2044800632416617E-17  -8.709374055861749E-16  -3.4248107490008126E-15  9.066578692738906E-16  -1.2462257281421518E-15  6.263381552964162E-16  
... numFun  ... 37
... numGrad  ... 136
... numLin  ... 36


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382148001488  20.0  20.0  20.0  2.0596975980180514  17.67484562353649  1.4089168681684074  17.27441882486272  18.69924005912106  3.202730350973163  17.678760387679677  18.699240056352934  18.1488588924413  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  6.875612528802922E-16  0.0  0.0  0.0  -5.4639037036047E-16  -5.368154286782479E-18  -2.5385998840407956E-16  1.3222019622396135E-16  3.759465273327275E-17  -4.303976180623886E-16  -2.2770655198207686E-16  5.378650241839902E-17  1.4676501178975565E-17  
... numFun  ... 38
... numGrad  ... 140
... numLin  ... 37


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382149469023  20.0  20.0  20.0  2.0596975979014296  17.674845623535344  1.4089168681142235  17.274418824890944  18.699240059129085  3.2027303508812985  17.678760387631076  18.699240056364413  18.148858892444434  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  1.3199637164598173E-15  0.0  0.0  0.0  -9.30991049154672E-16  2.605995033392212E-17  -3.3213663194755935E-16  -1.9738941213767687E-16  -6.277352205607953E-17  -5.818608348350194E-16  7.67926313852908E-16  -8.975421117536818E-17  -4.807488379987538E-17  
... numFun  ... 39
... numGrad  ... 142
... numLin  ... 38


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382150717802  20.0  20.0  20.0  2.059697597813351  17.67484562353781  1.408916868082801  17.27441882487227  18.699240059123145  3.2027303508262506  17.67876038770373  18.699240056355922  18.148858892439886  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  1.530256282089639E-18  0.0  0.0  0.0  -2.792020851609524E-18  5.705158111812781E-19  -1.721391373791001E-18  -4.2635139893279964E-17  1.2094978666610058E-18  -3.460243176441746E-18  -1.3515029195919138E-17  1.6338494488116814E-18  1.2700042814330056E-18  
... numFun  ... 40
... numGrad  ... 144
... numLin  ... 39


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382150718635  20.0  20.0  20.0  2.0596975978131993  17.67484562353784  1.4089168680827073  17.27441882486995  18.699240059123213  3.2027303508260623  17.678760387702994  18.69924005635601  18.148858892439954  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  -7.309571941983535E-21  0.0  0.0  0.0  1.3091585030525723E-20  -2.336311309379883E-20  -9.114346076288471E-21  7.44083329877471E-21  -3.651937099323142E-20  -5.110509679011364E-21  -2.1933968429662663E-20  1.1177638698353004E-20  2.450452469162017E-20  
... numFun  ... 41
... numGrad  ... 146
... numLin  ... 40


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382150718628  20.0  20.0  20.0  2.0596975978132  17.674845623537838  1.4089168680827067  17.27441882486995  18.69924005912321  3.202730350826062  17.67876038770299  18.69924005635601  18.148858892439957  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  -1.809839329372153E-20  0.0  0.0  0.0  3.374217420134377E-20  3.115730528268729E-21  -1.6763294197602873E-20  4.5837886068822386E-20  -2.8189266735666744E-20  6.818413290509789E-22  2.2352861511871215E-20  2.812558248236921E-20  -4.669744411230908E-21  
... numFun  ... 42
... numGrad  ... 149
... numLin  ... 41


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382150718622  20.0  20.0  20.0  2.0596975978132015  17.674845623537838  1.408916868082706  17.27441882486995  18.69924005912321  3.202730350826062  17.67876038770299  18.69924005635601  18.148858892439957  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  -4.658681209898652E-21  0.0  0.0  0.0  1.1434944787933055E-20  4.0657581468206416E-20  -1.4823076576950256E-21  3.3881317890172014E-20  3.049318610115481E-20  8.893845946170154E-21  5.759824041329242E-20  1.0164395367051604E-20  -3.7269449679189215E-20  
... numFun  ... 43
... numGrad  ... 151
... numLin  ... 42


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.771538215071862  20.0  20.0  20.0  2.0596975978132024  17.67484562353784  1.408916868082706  17.274418824869954  18.699240059123213  3.2027303508260623  17.678760387702994  18.69924005635601  18.148858892439954  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  -3.5946322082188136E-21  0.0  0.0  0.0  1.244232892207819E-20  3.958269342406839E-21  -7.78525494813175E-21  -1.7594921580267044E-20  -1.6513055780043778E-20  4.783398799702635E-21  2.904212644244533E-20  1.7083193333433416E-20  -1.652003353612901E-21  
... numFun  ... 44
... numGrad  ... 154
... numLin  ... 43


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382150718617  20.0  20.0  20.0  2.059697597813203  17.67484562353784  1.4089168680827056  17.274418824869954  18.699240059123213  3.2027303508260627  17.678760387702994  18.69924005635601  18.148858892439954  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  -2.1175823681357508E-22  0.0  0.0  0.0  4.235164736271502E-21  -2.371692252312041E-20  -6.3527471044072525E-21  -4.0657581468206416E-20  -3.7269449679189215E-20  -1.6940658945086007E-21  -1.0164395367051604E-20  1.0164395367051604E-20  2.371692252312041E-20  
... numFun  ... 45
... numGrad  ... 156
... numLin  ... 44


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382150718617  20.0  20.0  20.0  2.059697597813203  17.67484562353784  1.4089168680827053  17.27441882486995  18.699240059123213  3.2027303508260627  17.678760387702994  18.69924005635601  18.148858892439954  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  -3.880543131952853E-22  0.0  0.0  0.0  7.761086263905706E-21  -4.3462083077871956E-20  -1.1429871159044984E-20  3.247122488365047E-23  -6.829755912237021E-20  -3.1044345055622825E-21  -1.8626607033373696E-20  1.8626607033373696E-20  4.3462083077871956E-20  
... numFun  ... 46
... numGrad  ... 158
... numLin  ... 45


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382150718617  20.0  20.0  20.0  2.0596975978132033  17.67484562353784  1.4089168680827049  17.27441882486995  18.69924005912321  3.2027303508260627  17.678760387702994  18.69924005635601  18.148858892439954  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  -8.224213804624954E-22  0.0  0.0  0.0  7.783180850453505E-22  -4.467734956555866E-20  -1.1229748004511467E-20  3.3896977764065606E-20  -2.4446278226767236E-21  -3.1912392546827613E-21  -2.5923699106130973E-20  1.914743552809657E-20  4.467734956555866E-20  
... numFun  ... 47
... numGrad  ... 160
... numLin  ... 46


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382150718617  20.0  20.0  20.0  2.0596975978132033  17.674845623537838  1.4089168680827042  17.27441882486995  18.69924005912321  3.2027303508260627  17.678760387702994  18.69924005635601  18.148858892439957  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  -1.563181667104462E-21  0.0  0.0  0.0  -2.2868708969168797E-21  1.753404779998234E-21  -1.4860846255560994E-20  6.339815416073878E-20  2.836445121255611E-20  -3.2023862370705916E-21  -3.951451751646236E-20  2.6837613947712254E-20  1.6347270090189673E-21  
... numFun  ... 48
... numGrad  ... 163
... numLin  ... 47


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382150718617  20.0  20.0  20.0  2.0596975978132033  17.674845623537838  1.4089168680827038  17.27441882486995  18.69924005912321  3.2027303508260627  17.678760387702994  18.69924005635601  18.148858892439957  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  -8.470329472543003E-22  0.0  0.0  0.0  -2.964615315390051E-21  4.0657581468206416E-20  8.470329472543003E-22  3.3881317890172014E-20  3.049318610115481E-20  -4.2351647362715017E-22  -1.3552527156068805E-20  1.0164395367051604E-20  -3.7269449679189215E-20  
... numFun  ... 49
... numGrad  ... 165
... numLin  ... 48


Function value: 0.0

... new vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382150718617  20.0  20.0  20.0  2.0596975978132033  17.67484562353784  1.4089168680827038  17.27441882486995  18.69924005912321  3.2027303508260627  17.678760387702994  18.69924005635601  18.148858892439954  

... new direction ...
0.0  0.0  0.0  0.0  0.0  0.0  -1.1506421542945838E-21  0.0  0.0  0.0  -4.768401368878556E-21  1.0207147818648047E-21  1.3624003911081588E-21  5.449601564432636E-20  4.904641407989372E-20  -1.95174961643553E-21  -2.179840625773054E-20  1.6348804693297908E-20  1.0407549935506308E-21  
... numFun  ... 50
... numGrad  ... 168
... numLin  ... 49


... final vector ...
1.0E-6  20.0  20.0  20.0  20.0  20.0  1.7715382150718617  20.0  20.0  20.0  2.0596975978132033  17.67484562353784  1.4089168680827038  17.27441882486995  18.69924005912321  3.2027303508260627  17.678760387702994  18.69924005635601  18.148858892439954  
... numFun  ... 51
... numLin  ... 50

--- end of minimization ---
Observed: 1 x 19 matrix
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Expected: 1 x 19 matrix
6.418257E-013 3.700504E-005 2.468651E-005 0.000889 4.154122E-005 0.000276 1.771538E-006 0.000301 3.509965E-005 0.000165 2.059698E-006 1.767485E-005 1.408917E-006 1.727442E-005 1.869924E-005 3.20273E-006 1.767876E-005 1.869924E-005 1.814886E-005
0	*[+word_boundary][+word_boundary]	(tier=Vowel)	weight=	1.0E-6
1	*[+voice]	(tier=default)	weight=	20.0
2	*[+ATR][-ATR]	(tier=Vowel)	weight=	20.0
3	*[-syllabic][-syllabic]	(tier=default)	weight=	20.0
4	*[-ATR][+ATR]	(tier=Vowel)	weight=	20.0
5	*[+word_boundary][+syllabic]	(tier=default)	weight=	20.0
6	*[+high,+back][-high,-low,+back]	(tier=Vowel)	weight=	1.7715382150718617
7	*[+syllabic][+word_boundary]	(tier=default)	weight=	20.0
8	*[+word_boundary][-back,-ATR]	(tier=Vowel)	weight=	20.0
9	*[+syllabic][+syllabic]	(tier=default)	weight=	20.0
10	*[-high,-low][+low]	(tier=Vowel)	weight=	2.0596975978132033
11	*[+low][-word_boundary][-high,-low]	(tier=default)	weight=	17.67484562353784
12	*[-high,-back][-high,+back]	(tier=Vowel)	weight=	1.4089168680827038
13	*[+word_boundary][-back][-high,+back]	(tier=Vowel)	weight=	17.27441882486995
14	*[+high][+ATR][-high,+back]	(tier=Vowel)	weight=	18.69924005912321
15	*[+high][-ATR][-high,-low]	(tier=Vowel)	weight=	3.2027303508260627
16	*[-back][-word_boundary][-high,+back]	(tier=Vowel)	weight=	17.678760387702994
17	*[-high,-low][-back][+low]	(tier=Vowel)	weight=	18.69924005635601
18	*[+low][-word_boundary][-high,-low]	(tier=Vowel)	weight=	18.148858892439954
done

Testing on a word list ...
number of test words: 584

Generating a random sample with the current field ...
8 acceptance rate: NaN
7 acceptance rate: NaN
6 acceptance rate: NaN
5 acceptance rate: NaN
4 acceptance rate: NaN
3 acceptance rate: NaN
2 acceptance rate: NaN
1 acceptance rate: NaN

total number of samples: 3848
getRandomSample() time: 0.125
total number of samples: 3848
number of distinct samples: 3028
y i y , y i y i r , y i y e N u t , y i y e w i p , y i y u N , y i m , y i m i n u t , y i m i w , y i m e m e r , y i m e w u m , y i m u y , y i p , y i p u p , y i p u N , y i p u r , y i N , y i N i N , y i N e w , y i k , y i k i k u n , y i k e m u N , y i k e p i y , y i k u k , y i n , y i n i k , y i n i t i t , y i n e m , y i n e m e m , y i n e N i r , y i n e N u y , y i n e t u m , y i n u N , y i r , y i r i N , y i r e k , y i r u r , y i r u w , y i t , y i t e m e w , y i t u N , y i t u N u t , y i t u k e w , y i t u r , y i w , y i w e r , y i w u n i t , y i w u t , y e y , y e y i m u p , y e y i p , y e y i N , y e y i k , y e y i r , y e y e y , y e m , y e m e N , y e m u n i t , y e m u w e N , y e p , y e p i k , y e p e n , y e p e r i n , y e p u w e k , y e N , y e N i y u k , y e N i N , y e N e m , y e N e r , y e N e w , y e N u p , y e N u n , y e k , y e k i y u k , y e k i t i p , y e k e y , y e k e k e t , y e k e w , y e k u m u n , y e k u N , y e n , y e n i p , y e n i N e n , y e n u t , y e r , y e r i y , y e r e n e N , y e r e w , y e t , y e t i k i N , y e t e t i t , y e t e w e r , y e t u r , y e t u t u p , y e w , y e w i p , y e w e r , y e w e r i t , y e w u k e w , y a y , y a y a w U y , y a y I y , y a y I p , y a y I t , y a y U p , y a y U n U y , y a m , y a m a r , y a m I N , y a m U N , y a p , y a p a m a t , y a p I m I p , y a p I t U k , y a N , y a N a N , y a N a r a r , y a N I p , y a N U y U y , y a N U r , y a N U w , y a N U w U r , y a k , y a k a r , y a k I N , y a k I k a p , y a k I w , y a k U N I N , y a n , y a n a m I N , y a n a n , y a n a r U p , y a n a t a p , y a n U k , y a r , y a r a N , y a r a t I m , y a r a t U t , y a r I y a r , y a r I t , y a r I w I k , y a r I w I r , y a r U N U w , y a t , y a t a r , y a t U m , y a t U N , y a t U t , y a w , y a w a r I N , y a w a w , y a w I p , y a w I k a m , y a w I w a r , y a w U y , y a w U p , y a w U n a m , y a w U t U t , y o y , y o y i p e N , y o y e n e m , y o y e r i N , y o y o y , y o y u t , y o m , y o m i n , y o m i n i r , y o m e p i k , y o m e n , y o m o r , y o m o r o k , y o m u m u y , y o m u t , y o p e N o k , y o p o m , y o p o p , y o p o w o m , y o p u m , y o N , y o N i m o r , y o N i p e y , y o N i N o N , y o N e m i w , y o N e n , y o N o y , y o N o r , y o N o t e y , y o N u N e k , y o N u t , y o k , y o k i t e r , y o k e y , y o k e y i k , y o k o N , y o k o t , y o k u m , y o k u n , y o n , y o n i y o r , y o n i m , y o n i p e k , y o n i r u r , y o n u r u N , y o r , y o r i N u p , y o r i k , y o r o N , y o r o t , y o r u t , y o t , y o t e m o w , y o t e n u w , y o t e r , y o t o p i t , y o t u y , y o t u p u k , y o t u t , y o w , y o w e t , y o w o n , y o w o w o t , y o w u w , y O y , y O y O N , y O y I N I n , y O y U m , y O y U w a n , y O m , y O m O n I n , y O m U n U w , y O m U t a w , y O p , y O p O r , y O p O t , y O p I m I m , y O p I N , y O p U k , y O p U t , y O p U w U r , y O N , y O N O N , y O N O w , y O N I N , y O N I t , y O N U p , y O k , y O k O m , y O k O m U y , y O k I y , y O k U r , y O k U w a w , y O n , y O n U n , y O r , y O r O w , y O r I k , y O r I r , y O r I w I m , y O r U N , y O r U n a t , y O t , y O t O n , y O t O r U n , y O t O w , y O t I k O n , y O t U m , y O t U n , y O w , y O w I y , y O w I m , y O w I k , y O w U n , y O w U r I k , y O w U w I p , y u y , y u y i y , y u y i m u p , y u y o N , y u y u k , y u y u t i y , y u m , y u m i m i n , y u m i t , y u m u n u p , y u m u r , y u p , y u p i m , y u p i m i N , y u p o w i y , y u p u m , y u p u r i y , y u p u t , y u N , y u N i k e n , y u N i w , y u N e n e N , y u k , y u k e w , y u k o N u p , y u k u N , y u k u w , y u n , y u n i N , y u n i N u p , y u n i r , y u n i t , y u n e N , y u n e N e m , y u n e w u n , y u n u y , y u n u t , y u n u w e n , y u r , y u r i m , y u r i w e y , y u r e y , y u r e n , y u r u N , y u r u k i N , y u r u t u k , y u t i N e m , y u t u t , y u w , y u w i n u m , y u w i t , y u w e y e n , y u w e m i w , y u w u r u y , y U y , y U y a p I N , y U y a k U p , y U y U k , y U m , y U m a m a k , y U m a N , y U m a k , y U m a r U y , y U m I y , y U m I k U p , y U m U k , y U p , y U p I m , y U p U t , y U p U t a m , y U p U w I r , y U N , y U N a y , y U N a n , y U N O m , y U N I m , y U N I N I k , y U N I r , y U N U p , y U N U p I y , y U N U r U N , y U k , y U k a y , y U k a m U w , y U k O y U N , y U k O N , y U k I m U r , y U k U N a k , y U n , y U n a k , y U n U y U y , y U n U k , y U n U k I p , y U n U r , y U r , y U r a y , y U t a N , y U t a w , y U t I N , y U t U t I r , y U w , y U w O k , y U w U N , m i y e p e m , m i y u m i m , m i y u n i p , m i y u r i t , m i m , m i m i y i r , m i m i p , m i m i r , m i p , m i p i N , m i p i N u r , m i p i n , m i p i t , m i p e N i r , m i p e N u k , m i p u n u p , m i p u r e n , m i N , m i N i r e r , m i N e N , m i N e w i y , m i k , m i k i N e n , m i k i N u n , m i k i w , m i k u N e r , m i k u n , m i k u w , m i n , m i n i m i n , m i n i r u n , m i n e k i m , m i n u t i t , m i r , m i r i p i t , m i r i k , m i r i n , m i r u N i k , m i t , m i t i N e N , m i t i w e t , m i t e w , m i t e w e n , m i t u w , m i w , m i w u N , m i w u N e N , m i w u n , m e y i N , m e y i w , m e y i w u p , m e y u k , m e y u n i N , m e m , m e m e m u n , m e m e p u t , m e m e N u n , m e m e r u r , m e m e t u n , m e m u y , m e m u n , m e p , m e p i m , m e p e m , m e p e w i N , m e N , m e k , m e k i n u m , m e k u t , m e n , m e n i r e n , m e n e N u m , m e n e n , m e n e t u w , m e n u y , m e n u t , m e r , m e r e k e t , m e r u k u m , m e r u n i N , m e t , m e t e t i w , m e w , m e w e y u p , m e w e p e w , m e w e r , m e w u r , m a y , m a y a m a w , m a y I y I r , m a y I N U m , m a y U k I t , m a y U n U n , m a m , m a m a n a t , m a m a t , m a m I y I N , m a m I n , m a m I r , m a m U y , m a m U N U r , m a m U n , m a m U n U w , m a p I k U t , m a p U k , m a N , m a N a y , m a N a t , m a N I N I w , m a N I n a k , m a k , m a k a t U t , m a n , m a n a w , m a r , m a r U p a r , m a r U p I w , m a r U w , m a r U w a N , m a t , m a t a m , m a t a t , m a t I y U p , m a w a m I k , m a w a n , m a w U t U p , m o y , m o y i y e k , m o y i y e n , m o y e y , m o y e k e p , m o y e t , m o y o N , m o y u y , m o y u N , m o y u w , m o m , m o m i n , m o m o N o t , m o p , m o p i N i k , m o p o k u n , m o p u n i k , m o N , m o N i t , m o N o m u k , m o N u n e t , m o N u w , m o k , m o k i t , m o k e k o N , m o k o m , m o k o k , m o k u m u k , m o k u r u m , m o k u w i w , m o n , m o n e N , m o n e w o m , m o n o m , m o n o k o w , m o n o r , m o n u w , m o r , m o r i y , m o r i k u N , m o r i r , m o r i w o w , m o t , m o t i t e r , m o t e w e w , m o t o N , m o t o k u k , m o t o n , m o t o w , m o t u m , m o t u k u n , m o t u r u n , m o t u t u k , m o w , m o w i t e w , m o w i t o r , m o w o r o w , m o w o w e m , m o w u k , m O y , m O y O m U n , m O y O t , m O y I y , m O y I k O y , m O y U y a r , m O y U N U t , m O y U k a r , m O m , m O m I n , m O m U p a k , m O m U N I k , m O p , m O p O t I p , m O p I w O y , m O p U y U w , m O p U n , m O p U t , m O p U w a w , m O N , m O N O n , m O N I y , m O N I k O r , m O N U m I k , m O N U r , m O N U w I N , m O k , m O k O t a w , m O k I n , m O k U t , m O n , m O n I N , m O r O y O r , m O r I r U t , m O r U y a r , m O t , m O t I p , m O t I n , m O t U m U k , m O t U k I k , m O w , m O w O p I p , m O w O t O y , m O w I r , m O w U N I p , m O w U w , m u y , m u y i y , m u y i y e n , m u y e N u r , m u y e t u r , m u y o m , m u y u p , m u y u t e p , m u y u t e k , m u m , m u m o n e N , m u m u y , m u m u m u N , m u p , m u N , m u N i N e n , m u N i w , m u N e y , m u N e k , m u N e t , m u N e w u r , m u k , m u k i t e r , m u k e k i p , m u k e r e k , m u k e w i n , m u k u m , m u k u n , m u k u r u y , m u k u t , m u n , m u n i N i N , m u n i k u y , m u n i n , m u n i w u N , m u n e N , m u n e r , m u n u m , m u n u r , m u r , m u r i w , m u r e y , m u r e y i r , m u r u t e p , m u r u t e k , m u t , m u t i N i n , m u t i k , m u t e w e y , m u w , m u w i m e t , m u w e y , m u w u p , m u w u t , m U y a t , m U y I n a p , m U y I n a N , m U y I t I t , m U y U N , m U m , m U m a p U N , m U m a k , m U m I N U n , m U m I r a p , m U m I r a t , m U p , m U p a y a k , m U p a n , m U p a r , m U p a w , m U p I k a t , m U p U k , m U N , m U N a w a N , m U N U y a y , m U N U n , m U N U w , m U k , m U k I y a N , m U k I n , m U k U y , m U n , m U n a r , m U n I w I n , m U r , m U r U n U t , m U t , m U t I y I N , m U w , m U w a t , m U w a w , m U w I y I N , m U w I m , m U w I p I y , m U w U w U w , p i y , p i y i w i y , p i y e n u y , p i y e r , p i m i t u p , p i m e n u w , p i m u n e n , p i p , p i p i k u m , p i p e t , p i p e w , p i p u N , p i p u n , p i N , p i N i m u N , p i N i r e p , p i N e k u p , p i N e t , p i N u r u m , p i k , p i k i k , p i k i w , p i k e m u k , p i k e k , p i k u N i y , p i k u w , p i n , p i n i t i k , p i n e y u w , p i n e n , p i n e w , p i n u y e y , p i n u p u m , p i n u t , p i r , p i r i p i n , p i r e w e k , p i r u m , p i r u t , p i t i k , p i t e N , p i t u p , p i w , p i w e m e k , p i w e r , p i w e t , p e y , p e y i r e t , p e y e r , p e m , p e m i y u t , p e m i p , p e m i t u n , p e p , p e p i k , p e p e t , p e p e t e y , p e p e w , p e N , p e N i r , p e N i t i w , p e N i w i N , p e N e m u y , p e k , p e k i r , p e k e N e w , p e k u t u N , p e n , p e n i N , p e n e n , p e n u m i m , p e r , p e r e k u n , p e t e N i k , p e t e r , p e t e t , p e w , p e w i k , p e w e k i y , p e w e r , p e w u m e p , p e w u p , p e w u N i n , p e w u k u N , p e w u n , p a y , p a y a m a r , p a y I n , p a y U p , p a y U w I m , p a m , p a m a N , p a m a r U w , p a m a t , p a m I n a N , p a m I t , p a m U k , p a m U n , p a m U w , p a m U w U n , p a p , p a p a m U N , p a p a n , p a p I y a y , p a p I y U r , p a p I p , p a N , p a N a p U m , p a N I k , p a N I r , p a k , p a k a t , p a k I k I n , p a k I r U t , p a k I t a t , p a k I w I n , p a k U y , p a n , p a n a y I n , p a n U r I t , p a n U t U k , p a r , p a r a t a k , p a r a w , p a r I k , p a t , p a t I k , p a w , p a w a y I k , p a w a r , p a w U y , p o y , p o y i t u y , p o y e m o n , p o y e N i y , p o y e k , p o y o y , p o y o k o w , p o y o r o k , p o y o w e p , p o y o w e r , p o m , p o m i n e n , p o m e m u r , p o m o t e N , p o m u y , p o m u t i p , p o p i y , p o p i p , p o p i k u t , p o p e N , p o p e k e n , p o p o k u w , p o N , p o N i r , p o N e m o t , p o N o p , p o N u N i r , p o N u t u m , p o k , p o k e n e n , p o k e t u N , p o k o k o w , p o k u t , p o n , p o n e n , p o n u k e w , p o n u r , p o r , p o r i y o m , p o r i N o k , p o r e N e p , p o r e k , p o r e w , p o t , p o t i y i t , p o t e k , p o t o w i t , p o t u y e N , p o t u k , p o t u k e w , p o w , p o w i y , p o w i y e k , p o w i m , p o w e n u m , p o w e r u y , p o w o N e m , p o w u m , p o w u k , p o w u w i r , p O y , p O y a r , p O y O t , p O m , p O m O r I y , p O m O t O n , p O m I t U p , p O m U k I k , p O p , p O p O y I y , p O p O N , p O p I k U N , p O p I r O r , p O N , p O N U n a w , p O k , p O k O N I r , p O k O t , p O k I m , p O k I t U t , p O k U y , p O n , p O n I m O m , p O n U w , p O n U w a k , p O r I t , p O r U N , p O r U t , p O t , p O t I p , p O w , p O w O n , p O w I p U p , p O w I N , p O w I r , p u y , p u y e k , p u m , p u m i r i w , p u m e m , p u m e N i y , p u m u y , p u m u r , p u p i y u t , p u p i k e p , p u p e y e N , p u p u y , p u p u p , p u p u p i k , p u p u N u N , p u N , p u N i N , p u N e n e m , p u N u y i w , p u N u t e r , p u k , p u k i y , p u k i n , p u k e k , p u k e r , p u k u m , p u n , p u n i k , p u n i r e k , p u n e y u y , p u n u N , p u n u N e y , p u r e n u y , p u r e r , p u r o t , p u r u N , p u r u n , p u r u w , p u t e m , p u t e k , p u t u y , p u w , p u w i m , p u w o N , p u w u p , p u w u p e t , p u w u n e r , p U y , p U y a y , p U y U n , p U m , p U m a m , p U m U y , p U m U r a N , p U p , p U p a r a w , p U p I r , p U p I t , p U p U p a w , p U N a r U y , p U N O r , p U N I m , p U N U n I k , p U N U r , p U k , p U k a p , p U k a n , p U k U m a n , p U k U p , p U n , p U n I t a N , p U n U n , p U r , p U r a n , p U r I k , p U r I r U t , p U r U N U y , p U r U w , p U t , p U t a m U r , p U t a n , p U t a r a k , p U t I y , p U w a y , p U w a N a t , p U w I m U m , N i y , N i y i r e w , N i y e m u p , N i y e r i t , N i y u t u p , N i m , N i m i p , N i m i p u m , N i m e m , N i m e p , N i m e k i t , N i m e r i p , N i m e r u p , N i m e t i m , N i p , N i p e k u k , N i p u k , N i p u t , N i N , N i N i m , N i N i N , N i N i r i k , N i N e y , N i N e m e k , N i N e N , N i N e n i t , N i N e r e p , N i N u m e y , N i k , N i k e y i w , N i k e m , N i k u m , N i k u p , N i n , N i n i k , N i n i w i N , N i n u m e k , N i n u t , N i r , N i r i y u p , N i r i N , N i t , N i t i N , N i t i n , N i t e m i n , N i t e k u w , N i t u y , N i t u k , N i t u r i w , N i w , N i w e p , N i w u k , N e y , N e y i k , N e y e n , N e y e r , N e y e r i w , N e y u p , N e m , N e m i m , N e m i k , N e m e p , N e m e N , N e m u k e t , N e p , N e p i w e t , N e p e n u r , N e p u r , N e N , N e N i N i t , N e N i k , N e N e y , N e N e m i w , N e N e N , N e N e N i N , N e N e n e t , N e N e n e w , N e N u t , N e N u t u t , N e k i p , N e k i w , N e k e p , N e k e r e w , N e k e w , N e k u n u r , N e n , N e n i r e r , N e n i t , N e n i t i N , N e r , N e t , N e t i y , N e t i m e N , N e t e w , N e t u N e k , N e w , N e w i r , N e w u y , N a y , N a y I y , N a y U t a r , N a m , N a m I p , N a m I w , N a m U y I k , N a m U m , N a m U t U y , N a p , N a p a N , N a p I N I t , N a p U t , N a N , N a N a k , N a N I m , N a N I N I w , N a k , N a k a p , N a k I y , N a k I n , N a k U k U r , N a n , N a n a r a r , N a n I k a t , N a n I n I n , N a n I t a r , N a n U y U k , N a n U p a k , N a n U k , N a r , N a r a p , N a r I n , N a t , N a t a p I n , N a t a p U y , N a t a w U N , N a t a w U w , N a t I y , N a t I k U t , N a t I n , N a t I t , N a t U k U N , N a t U w , N a w a y , N a w a m I w , N a w a k , N a w I y , N a w I p , N o y , N o y i k i m , N o y e p , N o y e r , N o y e t e w , N o y o m , N o y o n o k , N o y u p , N o m , N o m i p , N o m i t e k , N o m o r i m , N o m u p , N o p , N o p i m , N o p i m u w , N o p i r u m , N o p i w , N o p e w e p , N o p o k e n , N o p o r , N o p u N e k , N o N , N o N e m , N o N e t , N o k i N e m , N o k i w e N , N o k o m u r , N o k u r , N o n , N o n i p u r , N o n e N i r , N o n e k u p , N o n e n u w , N o n o m i k , N o n o p , N o n u p , N o r , N o r o t , N o r u k , N o t , N o t i r , N o t i t , N o t e t u y , N o t e w , N o t u p i k , N o w , N o w i k i N , N o w i k e r , N o w i n , N o w i w i p , N o w e n i p , N o w e t , N o w e w , N o w o p , N o w o r , N o w o w e m , N o w u n , N o w u t e m , N O y , N O y I y , N O y I r , N O y U n U m , N O m , N O m I k O y , N O m U y I r , N O p , N O p O y , N O p O p , N O p U k , N O p U w I w , N O N , N O N I y I n , N O N I t , N O N I w I n , N O N U N I w , N O k , N O k a r a n , N O k I k O r , N O k U t U w , N O n , N O n O N I t , N O n O k , N O n O k I N , N O n O w I t , N O n I y , N O n U m U r , N O n U k , N O r , N O r I N I y , N O r I n , N O r I t , N O r U k , N O t , N O t O y O t , N O t O k , N O t I p U y , N O w , N O w O y O N , N O w O k , N O w U m a n , N O w U t , N O w U w , N u y , N u y i t u w , N u y e k , N u y e t , N u y u m e t , N u y u N , N u m , N u m e p u n , N u m e n , N u m u m i N , N u m u p u r , N u m u n , N u m u t , N u p , N u p i p , N u p i t , N u p e w e r , N u p u m u w , N u N , N u N i k , N u N i k i y , N u N e n e w , N u N u p , N u N u r , N u k , N u k i y i m , N u k i t e N , N u k i w i y , N u k u t i y , N u n , N u n i k , N u n i t , N u n u k , N u r , N u r i k , N u r e n , N u r u k u m , N u t , N u t i t e r , N u t e p , N u t u m u p , N u w , N u w i n i N , N u w i r u p , N u w e y , N u w u p , N u w u p i r , N U y U k , N U m , N U m a p a N , N U m I n , N U m U n , N U m U w , N U p a k a m , N U p U p a r , N U N , N U N a k , N U N a n , N U N I p , N U N I k I n , N U N I k U t , N U N U k , N U k , N U k a p a k , N U k a r , N U k U m a n , N U n , N U n a N U w , N U n O m I N , N U n I w I w , N U n U r , N U r , N U r a n U p , N U r I m I t , N U t , N U t I m , N U t I m a n , N U t I p I w , N U t I w , N U t U y , N U t U p , N U t U n , N U t U n I r , N U w a y , N U w a k a w , N U w I p U w , N U w U N , N U w U r I k , k i y , k i y i k , k i m , k i m u k , k i p , k i p i m , k i p e t i m , k i p u r , k i N , k i N i m , k i N i w , k i N e y u p , k i N e y u n , k i N e r , k i N e t i n , k i N e w , k i N u n , k i k , k i k i k , k i k i r , k i k i w , k i k i w u y , k i k u p i m , k i k u r i p , k i k u w , k i n , k i n u N , k i n u n i p , k i r , k i r i n , k i r e r e N , k i t , k i t i r , k i t e r i N , k i t e w e N , k i t u y , k i w , k i w i p i y , k i w i p e t , k i w e m u w , k i w e n , k i w e w , k e y , k e y i y , k e y i p u N , k e y e y e r , k e y e m i k , k e y e w i n , k e y u m , k e y u N , k e m , k e m e m , k e m u y i N , k e p , k e p u n , k e N , k e N i N e t , k e N i n u r , k e k , k e k e p , k e k e p u n , k e k u w , k e n i r u y , k e n e y u r , k e n e n , k e n e n i k , k e n e t , k e n u k e N , k e n u t , k e r , k e r e N e m , k e r u m , k e r u w , k e t , k e t i m u r , k e t i t i N , k e t e p , k e t e k u r , k e t e t , k e t e t u p , k e t u w i m , k e w , k e w i N , k e w i N i t , k e w e y , k e w e m , k e w e w u N , k e w u N , k a y , k a y a m , k a y a m U n , k a y a n a t , k a y I k U p , k a y U y U k , k a m , k a m a k , k a m a r , k a m I k , k a m I n , k a m I n I w , k a m U N U n , k a m U n , k a m U t , k a p I y , k a p I k , k a p I n , k a p I r , k a p U k , k a N , k a N I k , k a N U y U k , k a k , k a k I m , k a k U n a k , k a n , k a n I y , k a n I N , k a r , k a r a N , k a r I y , k a r I m I n , k a r I m U p , k a r U m , k a r U n a w , k a r U r a N , k a t , k a t a N I w , k a t a w U w , k a w , k a w a N a p , k a w a n , k a w I w , k a w U t , k o y , k o y i k e t , k o y e N , k o y e k , k o y e t e p , k o y o y , k o y o w , k o m i y , k o m i m , k o m i N u w , k o m i w , k o m e N , k o m e t i n , k o m e w e r , k o m o k e m , k o m u k , k o m u r , k o p e n , k o p e t i m , k o p o k u w , k o p o n , k o p o n e t , k o p o n u y , k o p u N , k o N , k o N i w e y , k o N e y u N , k o N e m , k o N o n , k o N o n o t , k o N o w , k o k i p o y , k o k i t , k o k e y i n , k o k e m , k o k e r e n , k o k o k , k o k o k u p , k o k o r , k o n , k o n i y e w , k o n i m , k o n i p i w , k o n i k i k , k o n e k , k o n e w , k o n o N , k o n o k , k o n o n i r , k o n o n o t , k o n o t , k o r , k o r i w , k o r o n o w , k o r u m , k o r u w e p , k o t , k o t e y , k o t e k u k , k o t o p , k o t o k u t , k o t o t , k o t o w o t , k o t u n , k o w , k o w i y , k o w i N o N , k o w i k i p , k o w e w u r , k o w o r , k o w u n i p , k O y , k O y O r , k O y U y U n , k O y U N U t , k O m , k O m O t O N , k O m I n , k O m U y a p , k O m U m I N , k O p , k O p O m O k , k O p O p , k O p O r U t , k O N , k O N O y U p , k O N I N I n , k O N U n I t , k O k , k O k O m O t , k O k O n U k , k O k I k U t , k O n , k O n O N , k O n O N U y , k O n O k , k O n O n , k O n O r , k O n O w , k O n I w U w , k O n U m , k O n U r U r , k O r I m , k O r U m U p , k O r U r , k O r U t U w , k O t , k O t a m , k O t I m U m , k O w , k O w O y , k O w O N I N , k O w I y I t , k O w I n O t , k O w U k , k u y , k u y u y , k u y u N i m , k u y u n , k u m , k u m i N u m , k u m i n i w , k u m e n , k u m u y e t , k u m u k , k u m u k i m , k u m u t u r , k u p , k u p i p e t , k u p i r , k u p e y , k u p e k i n , k u p e r , k u p u p i r , k u p u k i N , k u p u t u w , k u p u w u t , k u N , k u N i r , k u N i t u w , k u N u y i k , k u N u k , k u k , k u k i y , k u k i n e w , k u k e y i m , k u k e y u N , k u k e m i y , k u k u w e k , k u n , k u n i k , k u n i k u n , k u n e m , k u n e r u p , k u n e w , k u n o m , k u r , k u r e y , k u r e y i p , k u r u m , k u r u p i p , k u t , k u t e k i n , k u t e t , k u t u y , k u t u m , k u w , k u w i w , k u w u m i m , k u w u p u y , k U y a n , k U y I k U m , k U y I w , k U m , k U m a m a N , k U m a p U r , k U m a n U w , k U m U t U n , k U p a N , k U p a k , k U p U m , k U N , k U N a n , k U N I y U y , k U N I n I k , k U k , k U k a N I r , k U k a k , k U k a k U t , k U k a n a y , k U k a w , k U k I k I k , k U k U t , k U n , k U n a k U p , k U n I m , k U n I r a y , k U n U y U p , k U r , k U r I t a w , k U r U p , k U t , k U t a r , k U t I m , k U t U N , k U w a m , k U w a n I r , k U w a w a n , k U w I m , k U w I p , k U w I w a n , k U w U n , k U w U r , n i y , n i y i m , n i y i r u N , n i y i w , n i y e y , n i y e m , n i y u m u N , n i m , n i m i y u r , n i m e m i N , n i m u p , n i p , n i p i r i N , n i p i t , n i p e m , n i p e r , n i N , n i N i w , n i N e p , n i N e N i t , n i N e k , n i N u N , n i N u w u w , n i k , n i k i p , n i k i r e w , n i k i t , n i k e N e N , n i k e r , n i n , n i n i r , n i n i r u N , n i n e y , n i r , n i r i m u t , n i r i n , n i r i w e t , n i r u n , n i r u w , n i t , n i t u y , n i t u p , n i t u r , n i w , n i w i w i n , n i w u t , n e y , n e m , n e m i w , n e m e n , n e p , n e p i m e p , n e p i N , n e p u y i m , n e N , n e N i k e n , n e N e m u t , n e N e N e p , n e N u m , n e N u k e y , n e k , n e k i y e n , n e k e w i r , n e k u N , n e k u t i N , n e n e m , n e n e m u n , n e n u r , n e r , n e r i N , n e r i n , n e r e k , n e r e t , n e r u w i t , n e t , n e t i y e p , n e t e n , n e t u t , n e w , n e w i p , n a y , n a y U y a k , n a y U y a t , n a y U p a k , n a y U k I y , n a m , n a m a m U t , n a m a N , n a m I m , n a m U y , n a m U r , n a p , n a p I y , n a p I w I k , n a p I w U t , n a p U p a t , n a p U k , n a N I n , n a N I t U p , n a k , n a k a t , n a k U y a y , n a k U w I y , n a n , n a n a n , n a n U m I r , n a n U w I w , n a r , n a r a N , n a r a k I y , n a r a n I m , n a r a t I n , n a r U m a r , n a r U n , n a t , n a t a p I m , n a t I p , n a t I p a t , n a t I N I k , n a t I k a m , n a t I n U p , n a t U y , n a t U y a t , n a w , n a w a m , n a w U r , n o y , n o y e p , n o y o N , n o y o r e r , n o m , n o m i p , n o m i r e p , n o m e y u m , n o m e N u y , n o m o t e p , n o m u r e r , n o p , n o p i p , n o p i p e n , n o p e p , n o p e w , n o p u k , n o N , n o N i k , n o N i r , n o N e k , n o N o w o m , n o k , n o k i k , n o k i k u p , n o k e p o N , n o k e t o y , n o k o y o k , n o k o n i m , n o k o n e n , n o n , n o n i n o k , n o n e N , n o n o k , n o r , n o r e N , n o r u N , n o r u t , n o r u w , n o t , n o t i m , n o t o y , n o t o r , n o t u m , n o t u p , n o w , n o w i p , n o w o p , n o w o k e t , n o w u t u m , n O y , n O y O m O w , n O y I n U p , n O y I r O n , n O y U p , n O y U N U k , n O m , n O m O m , n O m O n , n O m O r O n , n O m U y I p , n O p , n O p O y , n O p O w U m , n O p I y O k , n O p I k O n , n O p U m a y , n O p U n , n O p U r a k , n O p U r U t , n O N , n O N O t , n O k , n O k O p I y , n O k O t , n O k I w U n , n O k U m , n O k U m a m , n O k U n U k , n O n O p , n O n I p I t , n O n I n , n O r , n O r I p , n O r U k , n O t , n O t O y I k , n O t O r , n O t O r I k , n O t I m , n O t I p I y , n O t I k , n O t U n , n O w , n O w O w U t , n O w I m I w , n O w I p I m , n O w I N , n O w I r , n O w I t , n O w I w , n O w U n a m , n O w U w , n u y , n u y i y , n u y i y i k , n u y u r , n u m , n u m i k , n u m e p , n u m e N , n u m e n , n u m o m u n , n u m u y e n , n u p , n u p i N , n u p i k u m , n u p u y i m , n u p u n , n u N , n u N i m , n u N i p , n u N i n , n u N e p u m , n u N e N e N , n u N e w , n u N u w , n u k , n u k i m , n u k e y i r , n u k u t , n u k u t u r , n u n , n u n e N , n u n e n e y , n u n u r , n u r , n u r i N i n , n u r i k e r , n u r i r , n u r e y i y , n u r e t , n u t , n u t i n , n u t i w e t , n u t u m , n u w , n u w e k , n u w e t , n u w e w u N , n u w u y i k , n U y a m U t , n U y O t , n U y I w I w , n U y U k a n , n U m , n U m a m I y , n U m a r a N , n U m U p a N , n U m U w a N , n U p , n U p a n , n U p a r a N , n U p a r a w , n U p O r , n U p I n , n U p I w a y , n U N , n U N a p , n U N I r I w , n U N I w , n U k , n U k a y U m , n U k I m U p , n U k I w U n , n U n , n U n I N a k , n U n U n , n U r a n , n U r a w U w , n U r I m , n U r I r , n U t , n U t a p , n U t a p a r , n U t a N U r , n U t a k a N , n U t I N U y , n U t U y I n , n U t U w U N , n U w , n U w a r , n U w I w U y , n U w U k I N , r i y , r i y i m , r i y i p u k , r i y e N , r i y e n , r i y e t e m , r i y u m , r i y u r i r , r i m , r i m i p e r , r i m i p u m , r i m i N , r i m i N i p , r i m i r u t , r i m u p , r i m u p i n , r i m u N e y , r i m u w u m , r i p , r i p i p , r i p i N , r i p i k i w , r i p e y u t , r i p e m , r i p u r , r i N , r i N e p i m , r i N u w , r i k , r i k i k , r i k i r i r , r i k e n u w , r i k u t i N , r i n , r i n i y , r i n i N u N , r i n i w , r i n e N , r i n e n i N , r i r , r i r i y , r i r i p , r i r i t u N , r i r u y e n , r i r u r , r i t i N i w , r i t i k e p , r i t i r , r i t i w u k , r i t e N , r i w , r i w i w u k , r i w e w i m , r i w u k i p , r e y , r e y i y , r e y i N , r e y e k e w , r e y e t e y , r e y u y i m , r e m , r e m i k , r e m e N i r , r e m u y , r e p , r e p i w , r e p e w i k , r e p u p , r e N , r e N i p , r e N e k u N , r e N e r , r e N e t , r e N e t e N , r e N e w e t , r e N u m e p , r e N u p i t , r e k , r e k e y , r e k u y u N , r e n , r e n i N u y , r e n u N u n , r e r , r e r i w e y , r e r e r , r e r e t i t , r e r u m , r e r u n , r e t i N , r e t i r , r e t e k e p , r e t e w i m , r e w , r e w i y , r e w i k u m , r e w i n , r e w i r , r e w e m u n , r e w e k , r a y , r a y I n I m , r a y U m a m , r a y U t , r a y U w I m , r a m , r a m a n , r a m I y a m , r a m I k , r a m U w , r a p , r a p a n a y , r a p a w , r a p a w a k , r a N , r a N a k U m , r a N a t a w , r a N a w , r a N U w a N , r a k , r a k a y , r a k I w a t , r a k U w , r a n , r a n a N , r a n a k U r , r a n I m I m , r a n I N I N , r a n U t , r a r , r a r I p , r a r I t , r a r U w I r , r a t , r a t a y U p , r a t I m , r a t I w , r a t U t a w , r a w , r a w I N , r a w I N U t , r a w U y I t , r a w U n U p , r a w U t I w , r o y , r o y i N e p , r o y i N u t , r o y i n e p , r o y i w , r o y o m o t , r o y u m o t , r o y u r i r , r o y u t , r o y u t u k , r o m , r o m i p o m , r o m i N , r o m i r i m , r o m e y e m , r o m e m , r o m e N i r , r o m e w u n , r o m o m e w , r o m o n u p , r o p , r o p u w u n , r o N , r o N i p e n , r o N i r i y , r o N o N , r o k , r o k i t e y , r o k o m e y , r o k o n o m , r o k o n u N , r o k u n , r o k u w e m , r o n , r o n e r , r o n o m e k , r o n o p , r o n o p i N , r o r , r o r i p i N , r o r i p e N , r o r i p u t , r o r i r i k , r o r i w , r o r e p u N , r o r e k i n , r o r o t , r o r u y , r o r u y u N , r o r u w e m , r o t , r o t o m , r o w , r o w i y , r o w e k , r o w o m i w , r o w u m , r O y , r O y O p U y , r O y O N , r O y O n O y , r O y I n O y , r O y I r I y , r O y U k a m , r O m , r O m I n , r O m U y a r , r O m U N , r O m U k a p , r O m U k U w , r O p , r O p I p , r O p U N a w , r O N , r O N I m , r O N U r U p , r O k , r O k O r , r O k I N O m , r O k U N , r O k U n , r O n , r O n I N , r O n I t U n , r O n U k I t , r O n U t a n , r O r , r O r O y , r O r I p I n , r O r I p U k , r O r U m I n , r O t , r O t a p a n , r O t O N O y , r O t U k , r O t U n , r O w , r O w O m I p , r u y , r u y i r i k , r u y i t i p , r u y u y u n , r u m , r u m i m u w , r u m i p , r u m i r e k , r u m i r u t , r u m i w , r u m e p , r u m u y , r u m u p u t , r u m u n , r u m u r u n , r u p , r u p o r e p , r u p u N , r u N , r u N i w , r u N e N , r u k i y , r u k i m e p , r u k e m , r u k o r e t , r u k u p e n , r u n , r u n i m , r u n e p , r u n e r , r u n o m , r u n o m i r , r u n u p , r u n u N e t , r u r , r u r i t , r u r e n , r u t , r u t i y e m , r u t e m , r u t u y , r u t u p e p , r u w , r u w e m , r u w e w i k , r u w e w u n , r u w u k i w , r U y , r U y a m , r U y I y , r U y U t , r U m , r U m a k , r U m I y , r U p , r U p a p , r U p O t , r U p U p , r U p U k , r U N a w , r U N I t a y , r U N U t a w , r U k , r U k a p , r U k a w U y , r U k I N U n , r U n , r U n a n , r U n a w U k , r U n I y , r U n I p , r U n I r , r U n U y , r U n U p , r U n U N a m , r U n U k , r U r a k , r U r a r U N , r U r U p , r U t , r U t I n U y , r U t U k , r U w , r U w a m I w , r U w I n a r , t i y , t i y i r , t i y i t i p , t i y u y , t i y u p , t i m , t i m i n , t i m i w u y , t i m e m , t i m e p , t i m u y , t i p , t i p i w , t i p e n u N , t i p u p , t i p u N , t i N , t i N e k , t i N u y , t i k , t i k i N , t i k e t e r , t i n , t i n e m , t i n u y , t i r i y , t i r i n u m , t i r i w i r , t i r e m , t i r e w e t , t i r u y i m , t i r u y i r , t i r u r u N , t i t , t i t i r , t i t i t , t i t e p e p , t i t e n , t i t u t , t i w , t i w i n , t i w i w , t i w e N , t i w u y u m , t e y , t e y i w , t e y e N i k , t e m , t e m i m u t , t e m i k , t e p , t e p i n i n , t e p i w , t e p e r , t e N i t , t e N e r , t e N u n e r , t e N u t , t e k , t e k i m e m , t e k e t e r , t e n , t e n e n i N , t e r , t e r i p u p , t e r e y , t e r u n e y , t e t , t e t i w , t e t e p , t e t u m i r , t e w , t e w i p u y , t e w i N , t e w i k , t e w e p e y , t e w e N u k , t e w e r u y , t e w u r e p , t a y , t a y a p U p , t a y U y , t a y U p , t a y U t U t , t a m , t a m I y U p , t a m I m , t a m I k I n , t a p , t a p a t , t a p U N U m , t a p U r I r , t a N , t a N a n a w , t a N U y , t a N U k , t a N U t U p , t a k , t a k U n , t a n , t a n a n I N , t a n I r , t a n I t , t a n U y U N , t a n U r I n , t a r a p a y , t a r a N , t a r a r U w , t a r a t a w , t a r U k I t , t a t , t a t a n , t a t a r a t , t a t a r I m , t a t I N , t a w a p I y , t a w U p U m , t a w U N U t , t o y , t o y i y , t o y i w u n , t o y e N u y , t o y o t e w , t o y u y , t o m i N u w , t o m e p , t o m e r i w , t o m o m e y , t o m u k o n , t o p , t o p i y , t o p e m , t o p e N , t o p e n , t o p e n e n , t o p o m , t o p o k e t , t o p o t , t o N , t o N i m e w , t o N e m o w , t o N o N , t o N o k e y , t o N o n i m , t o N o t , t o k , t o k i m , t o k i n , t o k e p , t o k e t o r , t o k o m , t o k o p i k , t o k o n , t o n , t o n i p o t , t o n i r , t o n e r e n , t o n o r , t o r , t o r i y , t o r i n , t o r o n e p , t o r o t , t o r u y , t o r u k , t o t , t o t e m e m , t o t e p u t , t o t e r e y , t o t e t , t o t o k i p , t o t u y , t o t u m , t o w , t o w i t e n , t o w i w o p , t o w e N , t o w u y e N , t o w u N , t o w u n , t O y , t O y O t I y , t O y O w U N , t O y U y , t O y U m , t O y U k , t O m , t O m O t , t O m I y , t O m U y , t O p , t O p O n O r , t O p I k I m , t O p U m U N , t O p U t , t O N , t O N a w a t , t O N O p O N , t O N O n U t , t O N I k , t O N I k O m , t O N I w U m , t O N U n , t O N U w a m , t O k , t O k I m , t O k I p , t O k I k , t O k U p , t O k U p O w , t O n , t O n O N , t O n O t , t O n I w I p , t O n I w U r , t O n U m , t O n U t , t O r , t O r O m O k , t O r O p U w , t O r O w U n , t O r U N , t O r U n U k , t O t , t O t O k , t O t O n , t O t I p U w , t O t I w U N , t O t U p , t O t U N , t O t U w , t O w , t O w O m I r , t O w O r I m , t O w O t , t O w I m O N , t O w I w U k , t u y , t u y i m , t u y i m e y , t u y i N u w , t u y e y i w , t u y e p e t , t u y e k u n , t u y u w , t u y u w u y , t u m , t u m i m , t u m i p u n , t u m i w , t u m e p i r , t u m e k e r , t u m e n , t u m u y u t , t u m u m , t u p , t u p e y i m , t u p e p e n , t u p e N u t , t u p e k , t u p o t , t u p o w , t u p u m , t u N , t u N i y , t u N e N e p , t u N e n i p , t u N e t i m , t u N o k , t u N u m e t , t u N u r i r , t u k , t u k i m , t u k i N u n , t u k e w u m , t u n , t u n i n , t u n e y e t , t u n e k , t u n u n i n , t u n u w , t u r , t u r i p , t u r i k , t u r e t u n , t u r u t , t u t , t u t u p e p , t u t u N i p , t u t u w i m , t u w , t u w i m e N , t u w i N , t u w i r , t u w i w , t u w e y , t u w o m u N , t U y , t U y a r a w , t U y a t I m , t U y U y U t , t U y U m , t U y U k a y , t U y U t U m , t U y U w , t U m , t U m a m , t U m I n U k , t U m U r I p , t U m U w I t , t U p , t U p a N , t U p a n a w , t U p O m , t U p I N U r , t U p U r U m , t U N , t U N a y , t U N a w a y , t U N I m , t U N U n a w , t U N U w a n , t U k , t U k I y , t U k I N , t U k I k , t U k I t U N , t U n , t U n a p a N , t U n a N , t U r , t U r a p , t U r I n , t U r U y , t U r U p I r , t U t , t U t a m U t , t U t a r , t U t O t , t U t I r U w , t U t I w a n , t U w , t U w a N U k , t U w a r , t U w I p , t U w I w , t U w U m a p , w i y , w i y i m e w , w i y e r , w i y u k e y , w i m , w i m i p e w , w i m i w , w i m e m , w i m e N , w i m e k , w i m e n i m , w i m u N , w i p , w i p u r i t , w i N , w i N i y , w i N i r , w i N e N , w i N e k e p , w i k , w i k i m u n , w i k e m , w i n , w i n i k e p , w i n e y , w i n e w e p , w i r , w i r i y e m , w i r i k e w , w i r e r i t , w i r u y e y , w i r u N e m , w i r u k i y , w i t , w i w , w i w i m , w i w i k , w i w e k , w i w e w , w i w e w u m , w i w u t , w e y , w e y e m i n , w e y e k , w e y e t , w e y u n i p , w e m , w e m i y i N , w e m i m e k , w e m i p u p , w e m i n e N , w e m e t , w e m u m , w e m u m i y , w e p , w e p i m , w e p e N , w e p e r , w e p u m , w e p u k , w e p u k e r , w e p u t , w e N , w e N i t e w , w e N e y e m , w e N e p , w e N e N i m , w e N u p , w e k , w e k i p , w e k i w u r , w e k e y e N , w e k e n , w e k e r u y , w e k e t , w e k u m u k , w e n , w e n u p i k , w e n u w , w e r , w e r i k e N , w e r e N , w e r u w , w e t , w e t i r u m , w e w , w e w i N , w e w e N u N , w a y , w a y a y , w a y a N , w a y U y , w a y U k a y , w a m , w a m a n a N , w a m U m , w a p a m a t , w a p a N U p , w a p I m , w a p I p U n , w a p U r I k , w a N , w a N a N I t , w a N U p , w a k , w a k a y , w a k I p U y , w a k I k I p , w a n , w a n a y , w a n a t U p , w a n U N , w a n U t , w a n U w U y , w a r , w a r a y a m , w a r a p U t , w a r a N , w a r a k , w a r I y a k , w a r I m a n , w a r I m U k , w a r I p U k , w a r I k , w a r I r a t , w a r U y , w a r U N I r , w a r U w U t , w a t , w a t a y a t , w a t I y , w a t I n a t , w a t U r I n , w a w , w a w a p , w a w a n , w a w a w U y , w a w I N , w a w I t , w a w U n , w o y , w o y i k o p , w o y i n , w o y i w , w o y e y e k , w o y o k u y , w o y o k u m , w o m , w o m i t , w o m o t o k , w o m o w , w o m o w u m , w o m u m , w o m u m o n , w o m u N i m , w o m u r , w o m u t , w o p , w o p i k , w o p i n i r , w o p i w i y , w o p e m i N , w o p e p , w o N , w o N i m o k , w o N i k , w o N i w o y , w o N e m i m , w o N e r u k , w o N e t , w o N u r , w o N u t , w o k , w o k i k u p , w o k o N u k , w o k o n i y , w o k o n o w , w o k u y u p , w o n , w o n i t o m , w o n i w , w o n e k , w o r , w o r i y , w o r i w e y , w o r i w u m , w o r e t u w , w o r o n , w o r o n e n , w o r u p u n , w o t , w o t i y i m , w o t i n o r , w o t e y i w , w o t e n , w o t e w , w o t o p o n , w o t o k e n , w o t o t , w o t u m e N , w o w i N , w o w i w u m , w o w e m u m , w o w e n u r , w o w e t , w o w u n , w o w u w , w O y , w O y I y , w O y U N I y , w O y U t I N , w O m I t O m , w O m U y , w O m U r a p , w O p , w O p O w I w , w O p I m , w O p U p O w , w O p U n , w O N , w O N O m , w O N O k I w , w O N I p , w O N U N O w , w O N U n , w O N U r a N , w O N U t , w O N U t I p , w O k O p O k , w O k O n U N , w O k U p , w O k U k I p , w O k U t U N , w O n , w O n O y , w O n I y I t , w O n I w , w O r , w O r O p U m , w O r O k U p , w O r U p , w O r U t , w O t , w O t O m , w O t O r , w O t I n , w O t U y a w , w O t U n , w O w , w O w a N a r , w O w O n U N , w O w O n U w , w O w U t a y , w u y , w u y e p e r , w u y o t , w u y u k , w u m , w u m e N , w u m e k , w u m e r i n , w u m e t , w u m u m , w u m u N , w u p , w u p e y , w u p e N , w u p e w , w u p u r e w , w u N , w u N i m , w u N u n u n , w u N u r e t , w u k , w u n , w u n i n e m , w u n e y u N , w u n u t , w u r , w u r i w , w u r e k , w u r o r e k , w u r u r , w u t , w u t i r u k , w u t e p , w u t u m u r , w u t u k , w u w , w u w i k , w u w i w , w u w e k , w u w e w , w u w u N e p , w u w u r e y , w u w u r u p , w u w u t , w U y , w U y U y , w U y U n , w U m , w U m a N a m , w U m I w , w U m U m a k , w U m U k U y , w U m U w , w U p , w U p a k , w U p a k U N , w U p O N U k , w U p I N , w U p I w , w U p U m , w U p U w U N , w U N , w U N a N , w U N I y I y , w U N I r , w U k , w U k a k , w U n , w U n a t , w U n U N I N , w U r a t , w U r I k , w U r U N I p , w U t , w U t a k a m , w U t I y I m , w U t I N a k , w U t U t I p , w U w , w U w I N , w U w U p , w U w U n , w U w U w I n , 
