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aquilign-multilingual-segmenter

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  1. logs/best_model.ca.txt +6 -0
  2. logs/best_model.en.txt +6 -0
  3. logs/best_model.es.txt +6 -0
  4. logs/best_model.fr.txt +6 -0
  5. logs/best_model.it.txt +6 -0
  6. logs/best_model.la.txt +6 -0
  7. logs/best_model.pt.txt +6 -0
  8. logs/best_model.txt +6 -0
  9. logs/resultats_ambiguite_ca.txt +290 -0
  10. logs/resultats_ambiguite_en.txt +178 -0
  11. logs/resultats_ambiguite_es.txt +370 -0
  12. logs/resultats_ambiguite_fr.txt +266 -0
  13. logs/resultats_ambiguite_it.txt +154 -0
  14. logs/resultats_ambiguite_la.txt +466 -0
  15. logs/resultats_ambiguite_pt.txt +434 -0
logs/best_model.ca.txt ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ Best model on test data for ca:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.995597 | 0.918182 |
5
+ | Recall | 0.991367 | 0.956698 |
6
+ | F1 | 0.993478 | 0.937044 |
logs/best_model.en.txt ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ Best model on test data for en:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.986902 | 0.865546 |
5
+ | Recall | 0.981592 | 0.899563 |
6
+ | F1 | 0.98424 | 0.882227 |
logs/best_model.es.txt ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ Best model on test data for es:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.982452 | 0.852022 |
5
+ | Recall | 0.979441 | 0.871241 |
6
+ | F1 | 0.980944 | 0.861524 |
logs/best_model.fr.txt ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ Best model on test data for fr:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.994614 | 0.916893 |
5
+ | Recall | 0.991183 | 0.947712 |
6
+ | F1 | 0.992896 | 0.932048 |
logs/best_model.it.txt ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ Best model on test data for it:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.992429 | 0.890819 |
5
+ | Recall | 0.98836 | 0.926452 |
6
+ | F1 | 0.99039 | 0.908286 |
logs/best_model.la.txt ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ Best model on test data for la:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.989166 | 0.825641 |
5
+ | Recall | 0.979488 | 0.90016 |
6
+ | F1 | 0.984304 | 0.861292 |
logs/best_model.pt.txt ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ Best model on test data for pt:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.992994 | 0.949331 |
5
+ | Recall | 0.993907 | 0.942125 |
6
+ | F1 | 0.993451 | 0.945714 |
logs/best_model.txt ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ Best model on test data
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.99073 | 0.884803 |
5
+ | Recall | 0.986411 | 0.91858 |
6
+ | F1 | 0.988566 | 0.901375 |
logs/resultats_ambiguite_ca.txt ADDED
@@ -0,0 +1,290 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.9672405623535725.
2
+
3
+ Results for e: accuracy 0.9847715736040609
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.982906 | 0.9875 |
7
+ | Recall | 0.991379 | 0.975309 |
8
+ | F1 | 0.987124 | 0.981366 |
9
+
10
+
11
+ Results for de: accuracy 0.9883720930232558
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 0.994048 | 0.75 |
15
+ | Recall | 0.994048 | 0.75 |
16
+ | F1 | 0.994048 | 0.75 |
17
+
18
+
19
+ Results for la: accuracy 1.0
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 1 | 1 |
23
+ | Recall | 1 | 1 |
24
+ | F1 | 1 | 1 |
25
+
26
+
27
+ Results for per: accuracy 0.9910714285714286
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.989899 | 1 |
31
+ | Recall | 1 | 0.928571 |
32
+ | F1 | 0.994924 | 0.962963 |
33
+
34
+
35
+ Results for que: accuracy 1.0
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 1 | 1 |
39
+ | Recall | 1 | 1 |
40
+ | F1 | 1 | 1 |
41
+
42
+
43
+ Results for en: accuracy 0.9636363636363636
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 0.971154 | 0.833333 |
47
+ | Recall | 0.990196 | 0.625 |
48
+ | F1 | 0.980583 | 0.714286 |
49
+
50
+
51
+ Results for a: accuracy 0.9900990099009901
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 1 | 0.888889 |
55
+ | Recall | 0.989247 | 1 |
56
+ | F1 | 0.994595 | 0.941176 |
57
+
58
+
59
+ Results for cor: accuracy 1.0
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 1 | 1 |
63
+ | Recall | 1 | 1 |
64
+ | F1 | 1 | 1 |
65
+
66
+
67
+ Results for lo: accuracy 1.0
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 1 | 1 |
71
+ | Recall | 1 | 1 |
72
+ | F1 | 1 | 1 |
73
+
74
+
75
+ Results for qui: accuracy 1.0
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 1 | 1 |
79
+ | Recall | 1 | 1 |
80
+ | F1 | 1 | 1 |
81
+
82
+
83
+ Results for es: accuracy 0.9714285714285714
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 0.984615 | 0.8 |
87
+ | Recall | 0.984615 | 0.8 |
88
+ | F1 | 0.984615 | 0.8 |
89
+
90
+
91
+ Results for De: accuracy 1.0
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 1 | 1 |
95
+ | Recall | 1 | 1 |
96
+ | F1 | 1 | 1 |
97
+
98
+
99
+ Results for mon: accuracy 1.0
100
+ | | Segment Content | Segment Boundary |
101
+ |-----------+-------------------+--------------------|
102
+ | Precision | 1 | 1 |
103
+ | Recall | 1 | 1 |
104
+ | F1 | 1 | 1 |
105
+
106
+
107
+ Results for no: accuracy 0.9838709677419355
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 0.983051 | 1 |
111
+ | Recall | 1 | 0.75 |
112
+ | F1 | 0.991453 | 0.857143 |
113
+
114
+
115
+ Results for los: accuracy 0.94
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 0.933333 | 1 |
119
+ | Recall | 1 | 0.625 |
120
+ | F1 | 0.965517 | 0.769231 |
121
+
122
+
123
+ Results for fil: accuracy 0.6
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 0.545455 | 0.75 |
127
+ | Recall | 0.857143 | 0.375 |
128
+ | F1 | 0.666667 | 0.5 |
129
+
130
+
131
+ Results for con: accuracy 1.0
132
+ | | Segment Content | Segment Boundary |
133
+ |-----------+-------------------+--------------------|
134
+ | Precision | 1 | 1 |
135
+ | Recall | 1 | 1 |
136
+ | F1 | 1 | 1 |
137
+
138
+
139
+ Results for ab: accuracy 1.0
140
+ | | Segment Content | Segment Boundary |
141
+ |-----------+-------------------+--------------------|
142
+ | Precision | 1 | 1 |
143
+ | Recall | 1 | 1 |
144
+ | F1 | 1 | 1 |
145
+
146
+
147
+ Results for l: accuracy 1.0
148
+ | | Segment Content | Segment Boundary |
149
+ |-----------+-------------------+--------------------|
150
+ | Precision | 1 | 1 |
151
+ | Recall | 1 | 1 |
152
+ | F1 | 1 | 1 |
153
+
154
+
155
+ Results for E: accuracy 0.9761904761904762
156
+ | | Segment Content | Segment Boundary |
157
+ |-----------+-------------------+--------------------|
158
+ | Precision | 0.666667 | 1 |
159
+ | Recall | 1 | 0.975 |
160
+ | F1 | 0.8 | 0.987342 |
161
+
162
+
163
+ Results for sa: accuracy 1.0
164
+ | | Segment Content | Segment Boundary |
165
+ |-----------+-------------------+--------------------|
166
+ | Precision | 1 | 1 |
167
+ | Recall | 1 | 1 |
168
+ | F1 | 1 | 1 |
169
+
170
+
171
+ Results for home: accuracy 0.95
172
+ | | Segment Content | Segment Boundary |
173
+ |-----------+-------------------+--------------------|
174
+ | Precision | 0.933333 | 1 |
175
+ | Recall | 1 | 0.833333 |
176
+ | F1 | 0.965517 | 0.909091 |
177
+
178
+
179
+ Results for fa: accuracy 1.0
180
+ | | Segment Content | Segment Boundary |
181
+ |-----------+-------------------+--------------------|
182
+ | Precision | 1 | 1 |
183
+ | Recall | 1 | 1 |
184
+ | F1 | 1 | 1 |
185
+
186
+
187
+ Results for el: accuracy 1.0
188
+ | | Segment Content | Segment Boundary |
189
+ |-----------+-------------------+--------------------|
190
+ | Precision | 1 | 1 |
191
+ | Recall | 1 | 1 |
192
+ | F1 | 1 | 1 |
193
+
194
+
195
+ Results for ne: accuracy 1.0
196
+ | | Segment Content | Segment Boundary |
197
+ |-----------+-------------------+--------------------|
198
+ | Precision | 1 | 1 |
199
+ | Recall | 1 | 1 |
200
+ | F1 | 1 | 1 |
201
+
202
+
203
+ Results for aquel: accuracy 1.0
204
+ | | Segment Content | Segment Boundary |
205
+ |-----------+-------------------+--------------------|
206
+ | Precision | 1 | 1 |
207
+ | Recall | 1 | 1 |
208
+ | F1 | 1 | 1 |
209
+
210
+
211
+ Results for car: accuracy 0.9090909090909091
212
+ | | Segment Content | Segment Boundary |
213
+ |-----------+-------------------+--------------------|
214
+ | Precision | 0.857143 | 1 |
215
+ | Recall | 1 | 0.8 |
216
+ | F1 | 0.923077 | 0.888889 |
217
+
218
+
219
+ Results for ay: accuracy 0.9411764705882353
220
+ | | Segment Content | Segment Boundary |
221
+ |-----------+-------------------+--------------------|
222
+ | Precision | 1 | 0.666667 |
223
+ | Recall | 0.933333 | 1 |
224
+ | F1 | 0.965517 | 0.8 |
225
+
226
+
227
+ Results for com: accuracy 0.7857142857142857
228
+ | | Segment Content | Segment Boundary |
229
+ |-----------+-------------------+--------------------|
230
+ | Precision | 0.727273 | 1 |
231
+ | Recall | 1 | 0.5 |
232
+ | F1 | 0.842105 | 0.666667 |
233
+
234
+
235
+ Results for et: accuracy 0.9285714285714286
236
+ | | Segment Content | Segment Boundary |
237
+ |-----------+-------------------+--------------------|
238
+ | Precision | 0.909091 | 1 |
239
+ | Recall | 1 | 0.75 |
240
+ | F1 | 0.952381 | 0.857143 |
241
+
242
+
243
+ Results for fe: accuracy 0.9166666666666666
244
+ | | Segment Content | Segment Boundary |
245
+ |-----------+-------------------+--------------------|
246
+ | Precision | 0.888889 | 1 |
247
+ | Recall | 1 | 0.75 |
248
+ | F1 | 0.941176 | 0.857143 |
249
+
250
+
251
+ Results for él: accuracy 1.0
252
+ | | Segment Content | Segment Boundary |
253
+ |-----------+-------------------+--------------------|
254
+ | Precision | 1 | 1 |
255
+ | Recall | 1 | 1 |
256
+ | F1 | 1 | 1 |
257
+
258
+
259
+ Results for Deus: accuracy 1.0
260
+ | | Segment Content | Segment Boundary |
261
+ |-----------+-------------------+--------------------|
262
+ | Precision | 1 | 1 |
263
+ | Recall | 1 | 1 |
264
+ | F1 | 1 | 1 |
265
+
266
+
267
+ Results for quant: accuracy 1.0
268
+ | | Segment Content | Segment Boundary |
269
+ |-----------+-------------------+--------------------|
270
+ | Precision | 1 | 1 |
271
+ | Recall | 1 | 1 |
272
+ | F1 | 1 | 1 |
273
+
274
+
275
+ Results for honra: accuracy 1.0
276
+ | | Segment Content | Segment Boundary |
277
+ |-----------+-------------------+--------------------|
278
+ | Precision | 1 | 1 |
279
+ | Recall | 1 | 1 |
280
+ | F1 | 1 | 1 |
281
+
282
+
283
+ Results for ena: accuracy 1.0
284
+ | | Segment Content | Segment Boundary |
285
+ |-----------+-------------------+--------------------|
286
+ | Precision | 1 | 1 |
287
+ | Recall | 1 | 1 |
288
+ | F1 | 1 | 1 |
289
+
290
+
logs/resultats_ambiguite_en.txt ADDED
@@ -0,0 +1,178 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.9114840387731219.
2
+
3
+ Results for and: accuracy 0.898989898989899
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.85 | 0.932203 |
7
+ | Recall | 0.894737 | 0.901639 |
8
+ | F1 | 0.871795 | 0.916667 |
9
+
10
+
11
+ Results for ": accuracy 1.0
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 1 | 1 |
15
+ | Recall | 1 | 1 |
16
+ | F1 | 1 | 1 |
17
+
18
+
19
+ Results for that: accuracy 0.9012345679012346
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 0.785714 | 0.962264 |
23
+ | Recall | 0.916667 | 0.894737 |
24
+ | F1 | 0.846154 | 0.927273 |
25
+
26
+
27
+ Results for to: accuracy 0.8478260869565217
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.838235 | 0.875 |
31
+ | Recall | 0.95 | 0.65625 |
32
+ | F1 | 0.890625 | 0.75 |
33
+
34
+
35
+ Results for for: accuracy 0.8846153846153846
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.75 | 1 |
39
+ | Recall | 1 | 0.823529 |
40
+ | F1 | 0.857143 | 0.903226 |
41
+
42
+
43
+ Results for the: accuracy 0.9911504424778761
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 1 | 0.888889 |
47
+ | Recall | 0.990476 | 1 |
48
+ | F1 | 0.995215 | 0.941176 |
49
+
50
+
51
+ Results for of: accuracy 0.9594594594594594
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 0.967742 | 0.916667 |
55
+ | Recall | 0.983607 | 0.846154 |
56
+ | F1 | 0.97561 | 0.88 |
57
+
58
+
59
+ Results for þ: accuracy 0.92
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 0.953125 | 0.727273 |
63
+ | Recall | 0.953125 | 0.727273 |
64
+ | F1 | 0.953125 | 0.727273 |
65
+
66
+
67
+ Results for as: accuracy 0.9
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 0.75 | 1 |
71
+ | Recall | 1 | 0.857143 |
72
+ | F1 | 0.857143 | 0.923077 |
73
+
74
+
75
+ Results for he: accuracy 1.0
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 1 | 1 |
79
+ | Recall | 1 | 1 |
80
+ | F1 | 1 | 1 |
81
+
82
+
83
+ Results for in: accuracy 0.8823529411764706
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 0.888889 | 0.857143 |
87
+ | Recall | 0.96 | 0.666667 |
88
+ | F1 | 0.923077 | 0.75 |
89
+
90
+
91
+ Results for is: accuracy 0.8666666666666667
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 0.958333 | 0.5 |
95
+ | Recall | 0.884615 | 0.75 |
96
+ | F1 | 0.92 | 0.6 |
97
+
98
+
99
+ Results for alle: accuracy 0.8181818181818182
100
+ | | Segment Content | Segment Boundary |
101
+ |-----------+-------------------+--------------------|
102
+ | Precision | 1 | 0.6 |
103
+ | Recall | 0.75 | 1 |
104
+ | F1 | 0.857143 | 0.75 |
105
+
106
+
107
+ Results for I: accuracy 0.9523809523809523
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 0.9375 | 1 |
111
+ | Recall | 1 | 0.833333 |
112
+ | F1 | 0.967742 | 0.909091 |
113
+
114
+
115
+ Results for a: accuracy 0.9285714285714286
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 0.96 | 0.666667 |
119
+ | Recall | 0.96 | 0.666667 |
120
+ | F1 | 0.96 | 0.666667 |
121
+
122
+
123
+ Results for w: accuracy 0.8888888888888888
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 1 | 0.6 |
127
+ | Recall | 0.866667 | 1 |
128
+ | F1 | 0.928571 | 0.75 |
129
+
130
+
131
+ Results for ye: accuracy 1.0
132
+ | | Segment Content | Segment Boundary |
133
+ |-----------+-------------------+--------------------|
134
+ | Precision | 1 | 1 |
135
+ | Recall | 1 | 1 |
136
+ | F1 | 1 | 1 |
137
+
138
+
139
+ Results for f: accuracy 0.625
140
+ | | Segment Content | Segment Boundary |
141
+ |-----------+-------------------+--------------------|
142
+ | Precision | 1 | 0.25 |
143
+ | Recall | 0.571429 | 1 |
144
+ | F1 | 0.727273 | 0.4 |
145
+
146
+
147
+ Results for than: accuracy 1.0
148
+ | | Segment Content | Segment Boundary |
149
+ |-----------+-------------------+--------------------|
150
+ | Precision | 1 | 1 |
151
+ | Recall | 1 | 1 |
152
+ | F1 | 1 | 1 |
153
+
154
+
155
+ Results for fr: accuracy 0.8461538461538461
156
+ | | Segment Content | Segment Boundary |
157
+ |-----------+-------------------+--------------------|
158
+ | Precision | 1 | 0.5 |
159
+ | Recall | 0.818182 | 1 |
160
+ | F1 | 0.9 | 0.666667 |
161
+
162
+
163
+ Results for we: accuracy 0.9411764705882353
164
+ | | Segment Content | Segment Boundary |
165
+ |-----------+-------------------+--------------------|
166
+ | Precision | 1 | 0.666667 |
167
+ | Recall | 0.933333 | 1 |
168
+ | F1 | 0.965517 | 0.8 |
169
+
170
+
171
+ Results for went: accuracy 1.0
172
+ | | Segment Content | Segment Boundary |
173
+ |-----------+-------------------+--------------------|
174
+ | Precision | 1 | 1 |
175
+ | Recall | 1 | 1 |
176
+ | F1 | 1 | 1 |
177
+
178
+
logs/resultats_ambiguite_es.txt ADDED
@@ -0,0 +1,370 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.9127237831021702.
2
+
3
+ Results for que: accuracy 0.8901515151515151
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.819277 | 0.922652 |
7
+ | Recall | 0.829268 | 0.917582 |
8
+ | F1 | 0.824242 | 0.92011 |
9
+
10
+
11
+ Results for por: accuracy 0.7926829268292683
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 0.714286 | 0.851064 |
15
+ | Recall | 0.78125 | 0.8 |
16
+ | F1 | 0.746269 | 0.824742 |
17
+
18
+
19
+ Results for &: accuracy 0.8880597014925373
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 0.772727 | 0.944444 |
23
+ | Recall | 0.871795 | 0.894737 |
24
+ | F1 | 0.819277 | 0.918919 |
25
+
26
+
27
+ Results for mas: accuracy 0.9772727272727273
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.95 | 1 |
31
+ | Recall | 1 | 0.96 |
32
+ | F1 | 0.974359 | 0.979592 |
33
+
34
+
35
+ Results for de: accuracy 0.916030534351145
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.966245 | 0.44 |
39
+ | Recall | 0.942387 | 0.578947 |
40
+ | F1 | 0.954167 | 0.5 |
41
+
42
+
43
+ Results for e: accuracy 0.9097222222222222
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 0.852941 | 0.927273 |
47
+ | Recall | 0.783784 | 0.953271 |
48
+ | F1 | 0.816901 | 0.940092 |
49
+
50
+
51
+ Results for y: accuracy 0.8961038961038961
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 0.807692 | 0.941176 |
55
+ | Recall | 0.875 | 0.90566 |
56
+ | F1 | 0.84 | 0.923077 |
57
+
58
+
59
+ Results for la: accuracy 0.9838709677419355
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 1 | 0.818182 |
63
+ | Recall | 0.982609 | 1 |
64
+ | F1 | 0.991228 | 0.9 |
65
+
66
+
67
+ Results for el: accuracy 0.9761904761904762
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 0.982906 | 0.888889 |
71
+ | Recall | 0.991379 | 0.8 |
72
+ | F1 | 0.987124 | 0.842105 |
73
+
74
+
75
+ Results for en: accuracy 0.8421052631578947
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 0.8625 | 0.733333 |
79
+ | Recall | 0.945205 | 0.5 |
80
+ | F1 | 0.901961 | 0.594595 |
81
+
82
+
83
+ Results for et: accuracy 0.875
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 0.733333 | 0.96 |
87
+ | Recall | 0.916667 | 0.857143 |
88
+ | F1 | 0.814815 | 0.90566 |
89
+
90
+
91
+ Results for a: accuracy 0.8282828282828283
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 0.850575 | 0.666667 |
95
+ | Recall | 0.948718 | 0.380952 |
96
+ | F1 | 0.89697 | 0.484848 |
97
+
98
+
99
+ Results for con: accuracy 0.8947368421052632
100
+ | | Segment Content | Segment Boundary |
101
+ |-----------+-------------------+--------------------|
102
+ | Precision | 0.904762 | 0.846154 |
103
+ | Recall | 0.966102 | 0.647059 |
104
+ | F1 | 0.934426 | 0.733333 |
105
+
106
+
107
+ Results for ca: accuracy 1.0
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 1 | 1 |
111
+ | Recall | 1 | 1 |
112
+ | F1 | 1 | 1 |
113
+
114
+
115
+ Results for si: accuracy 0.9285714285714286
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 0.882353 | 1 |
119
+ | Recall | 1 | 0.846154 |
120
+ | F1 | 0.9375 | 0.916667 |
121
+
122
+
123
+ Results for dixo: accuracy 0.78
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 0.769231 | 0.818182 |
127
+ | Recall | 0.9375 | 0.5 |
128
+ | F1 | 0.84507 | 0.62069 |
129
+
130
+
131
+ Results for como: accuracy 0.8333333333333334
132
+ | | Segment Content | Segment Boundary |
133
+ |-----------+-------------------+--------------------|
134
+ | Precision | 0.9 | 0.7 |
135
+ | Recall | 0.857143 | 0.777778 |
136
+ | F1 | 0.878049 | 0.736842 |
137
+
138
+
139
+ Results for lo: accuracy 0.9827586206896551
140
+ | | Segment Content | Segment Boundary |
141
+ |-----------+-------------------+--------------------|
142
+ | Precision | 0.980769 | 1 |
143
+ | Recall | 1 | 0.857143 |
144
+ | F1 | 0.990291 | 0.923077 |
145
+
146
+
147
+ Results for se: accuracy 0.9259259259259259
148
+ | | Segment Content | Segment Boundary |
149
+ |-----------+-------------------+--------------------|
150
+ | Precision | 1 | 0.428571 |
151
+ | Recall | 0.921569 | 1 |
152
+ | F1 | 0.959184 | 0.6 |
153
+
154
+
155
+ Results for qui: accuracy 0.9655172413793104
156
+ | | Segment Content | Segment Boundary |
157
+ |-----------+-------------------+--------------------|
158
+ | Precision | 1 | 0.888889 |
159
+ | Recall | 0.952381 | 1 |
160
+ | F1 | 0.97561 | 0.941176 |
161
+
162
+
163
+ Results for yo: accuracy 0.9487179487179487
164
+ | | Segment Content | Segment Boundary |
165
+ |-----------+-------------------+--------------------|
166
+ | Precision | 0.967742 | 0.875 |
167
+ | Recall | 0.967742 | 0.875 |
168
+ | F1 | 0.967742 | 0.875 |
169
+
170
+
171
+ Results for no: accuracy 1.0
172
+ | | Segment Content | Segment Boundary |
173
+ |-----------+-------------------+--------------------|
174
+ | Precision | 1 | 1 |
175
+ | Recall | 1 | 1 |
176
+ | F1 | 1 | 1 |
177
+
178
+
179
+ Results for segun: accuracy 0.9
180
+ | | Segment Content | Segment Boundary |
181
+ |-----------+-------------------+--------------------|
182
+ | Precision | 1 | 0.8 |
183
+ | Recall | 0.833333 | 1 |
184
+ | F1 | 0.909091 | 0.888889 |
185
+
186
+
187
+ Results for señor: accuracy 0.9444444444444444
188
+ | | Segment Content | Segment Boundary |
189
+ |-----------+-------------------+--------------------|
190
+ | Precision | 1 | 0.833333 |
191
+ | Recall | 0.923077 | 1 |
192
+ | F1 | 0.96 | 0.909091 |
193
+
194
+
195
+ Results for fi: accuracy 0.9696969696969697
196
+ | | Segment Content | Segment Boundary |
197
+ |-----------+-------------------+--------------------|
198
+ | Precision | 1 | 0.666667 |
199
+ | Recall | 0.967742 | 1 |
200
+ | F1 | 0.983607 | 0.8 |
201
+
202
+
203
+ Results for muy: accuracy 0.8928571428571429
204
+ | | Segment Content | Segment Boundary |
205
+ |-----------+-------------------+--------------------|
206
+ | Precision | 1 | 0.25 |
207
+ | Recall | 0.888889 | 1 |
208
+ | F1 | 0.941176 | 0.4 |
209
+
210
+
211
+ Results for al: accuracy 0.9655172413793104
212
+ | | Segment Content | Segment Boundary |
213
+ |-----------+-------------------+--------------------|
214
+ | Precision | 0.961538 | 1 |
215
+ | Recall | 1 | 0.75 |
216
+ | F1 | 0.980392 | 0.857143 |
217
+
218
+
219
+ Results for non: accuracy 0.9545454545454546
220
+ | | Segment Content | Segment Boundary |
221
+ |-----------+-------------------+--------------------|
222
+ | Precision | 1 | 0.75 |
223
+ | Recall | 0.947368 | 1 |
224
+ | F1 | 0.972973 | 0.857143 |
225
+
226
+
227
+ Results for des: accuracy 0.9545454545454546
228
+ | | Segment Content | Segment Boundary |
229
+ |-----------+-------------------+--------------------|
230
+ | Precision | 1 | 0.75 |
231
+ | Recall | 0.947368 | 1 |
232
+ | F1 | 0.972973 | 0.857143 |
233
+
234
+
235
+ Results for porque: accuracy 1.0
236
+ | | Segment Content | Segment Boundary |
237
+ |-----------+-------------------+--------------------|
238
+ | Precision | 1 | 1 |
239
+ | Recall | 1 | 1 |
240
+ | F1 | 1 | 1 |
241
+
242
+
243
+ Results for asi: accuracy 1.0
244
+ | | Segment Content | Segment Boundary |
245
+ |-----------+-------------------+--------------------|
246
+ | Precision | 1 | 1 |
247
+ | Recall | 1 | 1 |
248
+ | F1 | 1 | 1 |
249
+
250
+
251
+ Results for todos: accuracy 0.9545454545454546
252
+ | | Segment Content | Segment Boundary |
253
+ |-----------+-------------------+--------------------|
254
+ | Precision | 0.947368 | 1 |
255
+ | Recall | 1 | 0.75 |
256
+ | F1 | 0.972973 | 0.857143 |
257
+
258
+
259
+ Results for nin: accuracy 0.9
260
+ | | Segment Content | Segment Boundary |
261
+ |-----------+-------------------+--------------------|
262
+ | Precision | 1 | 0.833333 |
263
+ | Recall | 0.8 | 1 |
264
+ | F1 | 0.888889 | 0.909091 |
265
+
266
+
267
+ Results for sobre: accuracy 0.9
268
+ | | Segment Content | Segment Boundary |
269
+ |-----------+-------------------+--------------------|
270
+ | Precision | 1 | 0.75 |
271
+ | Recall | 0.857143 | 1 |
272
+ | F1 | 0.923077 | 0.857143 |
273
+
274
+
275
+ Results for ass: accuracy 1.0
276
+ | | Segment Content | Segment Boundary |
277
+ |-----------+-------------------+--------------------|
278
+ | Precision | 1 | 1 |
279
+ | Recall | 1 | 1 |
280
+ | F1 | 1 | 1 |
281
+
282
+
283
+ Results for todo: accuracy 1.0
284
+ | | Segment Content | Segment Boundary |
285
+ |-----------+-------------------+--------------------|
286
+ | Precision | 1 | 1 |
287
+ | Recall | 1 | 1 |
288
+ | F1 | 1 | 1 |
289
+
290
+
291
+ Results for ala: accuracy 0.8235294117647058
292
+ | | Segment Content | Segment Boundary |
293
+ |-----------+-------------------+--------------------|
294
+ | Precision | 0.857143 | 0.666667 |
295
+ | Recall | 0.923077 | 0.5 |
296
+ | F1 | 0.888889 | 0.571429 |
297
+
298
+
299
+ Results for o: accuracy 0.8823529411764706
300
+ | | Segment Content | Segment Boundary |
301
+ |-----------+-------------------+--------------------|
302
+ | Precision | 0.857143 | 1 |
303
+ | Recall | 1 | 0.6 |
304
+ | F1 | 0.923077 | 0.75 |
305
+
306
+
307
+ Results for sal: accuracy 0.6666666666666666
308
+ | | Segment Content | Segment Boundary |
309
+ |-----------+-------------------+--------------------|
310
+ | Precision | 0.666667 | 0.666667 |
311
+ | Recall | 0.666667 | 0.666667 |
312
+ | F1 | 0.666667 | 0.666667 |
313
+
314
+
315
+ Results for mucho: accuracy 1.0
316
+ | | Segment Content | Segment Boundary |
317
+ |-----------+-------------------+--------------------|
318
+ | Precision | 1 | 1 |
319
+ | Recall | 1 | 1 |
320
+ | F1 | 1 | 1 |
321
+
322
+
323
+ Results for son: accuracy 0.7272727272727273
324
+ | | Segment Content | Segment Boundary |
325
+ |-----------+-------------------+--------------------|
326
+ | Precision | 0.875 | 0.333333 |
327
+ | Recall | 0.777778 | 0.5 |
328
+ | F1 | 0.823529 | 0.4 |
329
+
330
+
331
+ Results for grant: accuracy 1.0
332
+ | | Segment Content | Segment Boundary |
333
+ |-----------+-------------------+--------------------|
334
+ | Precision | 1 | 1 |
335
+ | Recall | 1 | 1 |
336
+ | F1 | 1 | 1 |
337
+
338
+
339
+ Results for ene: accuracy 0.8
340
+ | | Segment Content | Segment Boundary |
341
+ |-----------+-------------------+--------------------|
342
+ | Precision | 1 | 0.333333 |
343
+ | Recall | 0.777778 | 1 |
344
+ | F1 | 0.875 | 0.5 |
345
+
346
+
347
+ Results for ya: accuracy 0.8571428571428571
348
+ | | Segment Content | Segment Boundary |
349
+ |-----------+-------------------+--------------------|
350
+ | Precision | 1 | 0.666667 |
351
+ | Recall | 0.8 | 1 |
352
+ | F1 | 0.888889 | 0.8 |
353
+
354
+
355
+ Results for contra: accuracy 0.8571428571428571
356
+ | | Segment Content | Segment Boundary |
357
+ |-----------+-------------------+--------------------|
358
+ | Precision | 1 | 0.666667 |
359
+ | Recall | 0.8 | 1 |
360
+ | F1 | 0.888889 | 0.8 |
361
+
362
+
363
+ Results for para: accuracy 1.0
364
+ | | Segment Content | Segment Boundary |
365
+ |-----------+-------------------+--------------------|
366
+ | Precision | 1 | 1 |
367
+ | Recall | 1 | 1 |
368
+ | F1 | 1 | 1 |
369
+
370
+
logs/resultats_ambiguite_fr.txt ADDED
@@ -0,0 +1,266 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.9540321562512117.
2
+
3
+ Results for et: accuracy 0.9327485380116959
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.890511 | 0.960976 |
7
+ | Recall | 0.938462 | 0.929245 |
8
+ | F1 | 0.913858 | 0.944844 |
9
+
10
+
11
+ Results for que: accuracy 0.8693467336683417
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 0.771429 | 0.922481 |
15
+ | Recall | 0.84375 | 0.881481 |
16
+ | F1 | 0.80597 | 0.901515 |
17
+
18
+
19
+ Results for si: accuracy 0.9431818181818182
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 0.970588 | 0.925926 |
23
+ | Recall | 0.891892 | 0.980392 |
24
+ | F1 | 0.929577 | 0.952381 |
25
+
26
+
27
+ Results for de: accuracy 0.9829787234042553
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.990868 | 0.875 |
31
+ | Recall | 0.990868 | 0.875 |
32
+ | F1 | 0.990868 | 0.875 |
33
+
34
+
35
+ Results for il: accuracy 0.995260663507109
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.994681 | 1 |
39
+ | Recall | 1 | 0.958333 |
40
+ | F1 | 0.997333 | 0.978723 |
41
+
42
+
43
+ Results for qu: accuracy 0.9436619718309859
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 0.888889 | 0.977273 |
47
+ | Recall | 0.96 | 0.934783 |
48
+ | F1 | 0.923077 | 0.955556 |
49
+
50
+
51
+ Results for pour: accuracy 0.9
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 0.916667 | 0.875 |
55
+ | Recall | 0.916667 | 0.875 |
56
+ | F1 | 0.916667 | 0.875 |
57
+
58
+
59
+ Results for ne: accuracy 0.9694656488549618
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 0.97479 | 0.916667 |
63
+ | Recall | 0.991453 | 0.785714 |
64
+ | F1 | 0.983051 | 0.846154 |
65
+
66
+
67
+ Results for a: accuracy 0.9621212121212122
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 0.992063 | 0.333333 |
71
+ | Recall | 0.968992 | 0.666667 |
72
+ | F1 | 0.980392 | 0.444444 |
73
+
74
+
75
+ Results for e: accuracy 0.9473684210526315
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 0.9 | 1 |
79
+ | Recall | 1 | 0.9 |
80
+ | F1 | 0.947368 | 0.947368 |
81
+
82
+
83
+ Results for se: accuracy 0.9636363636363636
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 0.97561 | 0.928571 |
87
+ | Recall | 0.97561 | 0.928571 |
88
+ | F1 | 0.97561 | 0.928571 |
89
+
90
+
91
+ Results for qui: accuracy 0.9242424242424242
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 0.615385 | 1 |
95
+ | Recall | 1 | 0.913793 |
96
+ | F1 | 0.761905 | 0.954955 |
97
+
98
+
99
+ Results for ce: accuracy 0.9629629629629629
100
+ | | Segment Content | Segment Boundary |
101
+ |-----------+-------------------+--------------------|
102
+ | Precision | 0.959459 | 1 |
103
+ | Recall | 1 | 0.7 |
104
+ | F1 | 0.97931 | 0.823529 |
105
+
106
+
107
+ Results for mes: accuracy 1.0
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 1 | 1 |
111
+ | Recall | 1 | 1 |
112
+ | F1 | 1 | 1 |
113
+
114
+
115
+ Results for ai: accuracy 0.9565217391304348
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 1 | 0.888889 |
119
+ | Recall | 0.933333 | 1 |
120
+ | F1 | 0.965517 | 0.941176 |
121
+
122
+
123
+ Results for fait: accuracy 0.9166666666666666
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 0.933333 | 0.888889 |
127
+ | Recall | 0.933333 | 0.888889 |
128
+ | F1 | 0.933333 | 0.888889 |
129
+
130
+
131
+ Results for quant: accuracy 0.9534883720930233
132
+ | | Segment Content | Segment Boundary |
133
+ |-----------+-------------------+--------------------|
134
+ | Precision | 1 | 0.777778 |
135
+ | Recall | 0.944444 | 1 |
136
+ | F1 | 0.971429 | 0.875 |
137
+
138
+
139
+ Results for je: accuracy 0.9555555555555556
140
+ | | Segment Content | Segment Boundary |
141
+ |-----------+-------------------+--------------------|
142
+ | Precision | 0.973684 | 0.857143 |
143
+ | Recall | 0.973684 | 0.857143 |
144
+ | F1 | 0.973684 | 0.857143 |
145
+
146
+
147
+ Results for par: accuracy 0.9591836734693877
148
+ | | Segment Content | Segment Boundary |
149
+ |-----------+-------------------+--------------------|
150
+ | Precision | 0.954545 | 1 |
151
+ | Recall | 1 | 0.714286 |
152
+ | F1 | 0.976744 | 0.833333 |
153
+
154
+
155
+ Results for con: accuracy 1.0
156
+ | | Segment Content | Segment Boundary |
157
+ |-----------+-------------------+--------------------|
158
+ | Precision | 1 | 1 |
159
+ | Recall | 1 | 1 |
160
+ | F1 | 1 | 1 |
161
+
162
+
163
+ Results for c: accuracy 1.0
164
+ | | Segment Content | Segment Boundary |
165
+ |-----------+-------------------+--------------------|
166
+ | Precision | 1 | 1 |
167
+ | Recall | 1 | 1 |
168
+ | F1 | 1 | 1 |
169
+
170
+
171
+ Results for tant: accuracy 1.0
172
+ | | Segment Content | Segment Boundary |
173
+ |-----------+-------------------+--------------------|
174
+ | Precision | 1 | 1 |
175
+ | Recall | 1 | 1 |
176
+ | F1 | 1 | 1 |
177
+
178
+
179
+ Results for dis: accuracy 1.0
180
+ | | Segment Content | Segment Boundary |
181
+ |-----------+-------------------+--------------------|
182
+ | Precision | 1 | 1 |
183
+ | Recall | 1 | 1 |
184
+ | F1 | 1 | 1 |
185
+
186
+
187
+ Results for on: accuracy 0.9655172413793104
188
+ | | Segment Content | Segment Boundary |
189
+ |-----------+-------------------+--------------------|
190
+ | Precision | 1 | 0.666667 |
191
+ | Recall | 0.962963 | 1 |
192
+ | F1 | 0.981132 | 0.8 |
193
+
194
+
195
+ Results for comme: accuracy 1.0
196
+ | | Segment Content | Segment Boundary |
197
+ |-----------+-------------------+--------------------|
198
+ | Precision | 1 | 1 |
199
+ | Recall | 1 | 1 |
200
+ | F1 | 1 | 1 |
201
+
202
+
203
+ Results for ou: accuracy 0.8947368421052632
204
+ | | Segment Content | Segment Boundary |
205
+ |-----------+-------------------+--------------------|
206
+ | Precision | 0.933333 | 0.75 |
207
+ | Recall | 0.933333 | 0.75 |
208
+ | F1 | 0.933333 | 0.75 |
209
+
210
+
211
+ Results for ": accuracy 0.7272727272727273
212
+ | | Segment Content | Segment Boundary |
213
+ |-----------+-------------------+--------------------|
214
+ | Precision | 1 | 0.25 |
215
+ | Recall | 0.7 | 1 |
216
+ | F1 | 0.823529 | 0.4 |
217
+
218
+
219
+ Results for por: accuracy 1.0
220
+ | | Segment Content | Segment Boundary |
221
+ |-----------+-------------------+--------------------|
222
+ | Precision | 1 | 1 |
223
+ | Recall | 1 | 1 |
224
+ | F1 | 1 | 1 |
225
+
226
+
227
+ Results for fet: accuracy 1.0
228
+ | | Segment Content | Segment Boundary |
229
+ |-----------+-------------------+--------------------|
230
+ | Precision | 1 | 1 |
231
+ | Recall | 1 | 1 |
232
+ | F1 | 1 | 1 |
233
+
234
+
235
+ Results for aus: accuracy 1.0
236
+ | | Segment Content | Segment Boundary |
237
+ |-----------+-------------------+--------------------|
238
+ | Precision | 1 | 1 |
239
+ | Recall | 1 | 1 |
240
+ | F1 | 1 | 1 |
241
+
242
+
243
+ Results for Je: accuracy 0.8571428571428571
244
+ | | Segment Content | Segment Boundary |
245
+ |-----------+-------------------+--------------------|
246
+ | Precision | 0.666667 | 1 |
247
+ | Recall | 1 | 0.8 |
248
+ | F1 | 0.8 | 0.888889 |
249
+
250
+
251
+ Results for sans: accuracy 1.0
252
+ | | Segment Content | Segment Boundary |
253
+ |-----------+-------------------+--------------------|
254
+ | Precision | 1 | 1 |
255
+ | Recall | 1 | 1 |
256
+ | F1 | 1 | 1 |
257
+
258
+
259
+ Results for comment: accuracy 1.0
260
+ | | Segment Content | Segment Boundary |
261
+ |-----------+-------------------+--------------------|
262
+ | Precision | 1 | 1 |
263
+ | Recall | 1 | 1 |
264
+ | F1 | 1 | 1 |
265
+
266
+
logs/resultats_ambiguite_it.txt ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.9419813388826805.
2
+
3
+ Results for si: accuracy 0.923728813559322
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.918033 | 0.929825 |
7
+ | Recall | 0.933333 | 0.913793 |
8
+ | F1 | 0.92562 | 0.921739 |
9
+
10
+
11
+ Results for e: accuracy 0.8949579831932774
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 0.847619 | 0.932331 |
15
+ | Recall | 0.908163 | 0.885714 |
16
+ | F1 | 0.876847 | 0.908425 |
17
+
18
+
19
+ Results for che: accuracy 0.8686131386861314
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 0.675 | 0.948454 |
23
+ | Recall | 0.84375 | 0.87619 |
24
+ | F1 | 0.75 | 0.910891 |
25
+
26
+
27
+ Results for per: accuracy 0.9420289855072463
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.962264 | 0.875 |
31
+ | Recall | 0.962264 | 0.875 |
32
+ | F1 | 0.962264 | 0.875 |
33
+
34
+
35
+ Results for ch: accuracy 0.9375
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.916667 | 0.942308 |
39
+ | Recall | 0.785714 | 0.98 |
40
+ | F1 | 0.846154 | 0.960784 |
41
+
42
+
43
+ Results for a: accuracy 1.0
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 1 | 1 |
47
+ | Recall | 1 | 1 |
48
+ | F1 | 1 | 1 |
49
+
50
+
51
+ Results for il: accuracy 0.9850746268656716
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 0.983051 | 1 |
55
+ | Recall | 1 | 0.888889 |
56
+ | F1 | 0.991453 | 0.941176 |
57
+
58
+
59
+ Results for come: accuracy 0.9333333333333333
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 1 | 0.857143 |
63
+ | Recall | 0.888889 | 1 |
64
+ | F1 | 0.941176 | 0.923077 |
65
+
66
+
67
+ Results for la: accuracy 1.0
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 1 | 1 |
71
+ | Recall | 1 | 1 |
72
+ | F1 | 1 | 1 |
73
+
74
+
75
+ Results for se: accuracy 0.92
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 0.941176 | 0.875 |
79
+ | Recall | 0.941176 | 0.875 |
80
+ | F1 | 0.941176 | 0.875 |
81
+
82
+
83
+ Results for pos: accuracy 1.0
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 1 | 1 |
87
+ | Recall | 1 | 1 |
88
+ | F1 | 1 | 1 |
89
+
90
+
91
+ Results for s: accuracy 0.9130434782608695
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 0.941176 | 0.833333 |
95
+ | Recall | 0.941176 | 0.833333 |
96
+ | F1 | 0.941176 | 0.833333 |
97
+
98
+
99
+ Results for con: accuracy 1.0
100
+ | | Segment Content | Segment Boundary |
101
+ |-----------+-------------------+--------------------|
102
+ | Precision | 1 | 1 |
103
+ | Recall | 1 | 1 |
104
+ | F1 | 1 | 1 |
105
+
106
+
107
+ Results for ins: accuracy 1.0
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 1 | 1 |
111
+ | Recall | 1 | 1 |
112
+ | F1 | 1 | 1 |
113
+
114
+
115
+ Results for quando: accuracy 0.8571428571428571
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 0.818182 | 1 |
119
+ | Recall | 1 | 0.6 |
120
+ | F1 | 0.9 | 0.75 |
121
+
122
+
123
+ Results for tanto: accuracy 0.8333333333333334
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 0.888889 | 0.666667 |
127
+ | Recall | 0.888889 | 0.666667 |
128
+ | F1 | 0.888889 | 0.666667 |
129
+
130
+
131
+ Results for o: accuracy 0.8888888888888888
132
+ | | Segment Content | Segment Boundary |
133
+ |-----------+-------------------+--------------------|
134
+ | Precision | 0.833333 | 1 |
135
+ | Recall | 1 | 0.75 |
136
+ | F1 | 0.909091 | 0.857143 |
137
+
138
+
139
+ Results for et: accuracy 1.0
140
+ | | Segment Content | Segment Boundary |
141
+ |-----------+-------------------+--------------------|
142
+ | Precision | 1 | 1 |
143
+ | Recall | 1 | 1 |
144
+ | F1 | 1 | 1 |
145
+
146
+
147
+ Results for sì: accuracy 1.0
148
+ | | Segment Content | Segment Boundary |
149
+ |-----------+-------------------+--------------------|
150
+ | Precision | 1 | 1 |
151
+ | Recall | 1 | 1 |
152
+ | F1 | 1 | 1 |
153
+
154
+
logs/resultats_ambiguite_la.txt ADDED
@@ -0,0 +1,466 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.9032991898324881.
2
+
3
+ Results for et: accuracy 0.8133333333333334
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.722222 | 0.92029 |
7
+ | Recall | 0.914062 | 0.738372 |
8
+ | F1 | 0.806897 | 0.819355 |
9
+
10
+
11
+ Results for ut: accuracy 0.9090909090909091
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 0.866667 | 0.944444 |
15
+ | Recall | 0.928571 | 0.894737 |
16
+ | F1 | 0.896552 | 0.918919 |
17
+
18
+
19
+ Results for ": accuracy 1.0
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 1 | 1 |
23
+ | Recall | 1 | 1 |
24
+ | F1 | 1 | 1 |
25
+
26
+
27
+ Results for cum: accuracy 0.9
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.866667 | 0.933333 |
31
+ | Recall | 0.928571 | 0.875 |
32
+ | F1 | 0.896552 | 0.903226 |
33
+
34
+
35
+ Results for in: accuracy 0.8795811518324608
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.890411 | 0.844444 |
39
+ | Recall | 0.948905 | 0.703704 |
40
+ | F1 | 0.918728 | 0.767677 |
41
+
42
+
43
+ Results for qui: accuracy 0.9438202247191011
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 0.970588 | 0.927273 |
47
+ | Recall | 0.891892 | 0.980769 |
48
+ | F1 | 0.929577 | 0.953271 |
49
+
50
+
51
+ Results for sic: accuracy 0.9166666666666666
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 0.833333 | 1 |
55
+ | Recall | 1 | 0.857143 |
56
+ | F1 | 0.909091 | 0.923077 |
57
+
58
+
59
+ Results for quam: accuracy 0.9090909090909091
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 0.909091 | 0.909091 |
63
+ | Recall | 0.909091 | 0.909091 |
64
+ | F1 | 0.909091 | 0.909091 |
65
+
66
+
67
+ Results for quod: accuracy 0.8928571428571429
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 0.736842 | 0.972973 |
71
+ | Recall | 0.933333 | 0.878049 |
72
+ | F1 | 0.823529 | 0.923077 |
73
+
74
+
75
+ Results for quo: accuracy 1.0
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 1 | 1 |
79
+ | Recall | 1 | 1 |
80
+ | F1 | 1 | 1 |
81
+
82
+
83
+ Results for de: accuracy 0.9191919191919192
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 0.927711 | 0.875 |
87
+ | Recall | 0.974684 | 0.7 |
88
+ | F1 | 0.950617 | 0.777778 |
89
+
90
+
91
+ Results for ad: accuracy 0.875
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 0.887324 | 0.823529 |
95
+ | Recall | 0.954545 | 0.636364 |
96
+ | F1 | 0.919708 | 0.717949 |
97
+
98
+
99
+ Results for per: accuracy 0.9014084507042254
100
+ | | Segment Content | Segment Boundary |
101
+ |-----------+-------------------+--------------------|
102
+ | Precision | 0.910714 | 0.866667 |
103
+ | Recall | 0.962264 | 0.722222 |
104
+ | F1 | 0.93578 | 0.787879 |
105
+
106
+
107
+ Results for si: accuracy 0.8529411764705882
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 0.809524 | 0.923077 |
111
+ | Recall | 0.944444 | 0.75 |
112
+ | F1 | 0.871795 | 0.827586 |
113
+
114
+
115
+ Results for vel: accuracy 0.5294117647058824
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 0.25 | 0.777778 |
119
+ | Recall | 0.5 | 0.538462 |
120
+ | F1 | 0.333333 | 0.636364 |
121
+
122
+
123
+ Results for quae: accuracy 0.84
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 0.8 | 0.866667 |
127
+ | Recall | 0.8 | 0.866667 |
128
+ | F1 | 0.8 | 0.866667 |
129
+
130
+
131
+ Results for ne: accuracy 0.7727272727272727
132
+ | | Segment Content | Segment Boundary |
133
+ |-----------+-------------------+--------------------|
134
+ | Precision | 0.555556 | 0.923077 |
135
+ | Recall | 0.833333 | 0.75 |
136
+ | F1 | 0.666667 | 0.827586 |
137
+
138
+
139
+ Results for ex: accuracy 0.9666666666666667
140
+ | | Segment Content | Segment Boundary |
141
+ |-----------+-------------------+--------------------|
142
+ | Precision | 0.961538 | 1 |
143
+ | Recall | 1 | 0.8 |
144
+ | F1 | 0.980392 | 0.888889 |
145
+
146
+
147
+ Results for con: accuracy 0.8909090909090909
148
+ | | Segment Content | Segment Boundary |
149
+ |-----------+-------------------+--------------------|
150
+ | Precision | 0.956522 | 0.555556 |
151
+ | Recall | 0.916667 | 0.714286 |
152
+ | F1 | 0.93617 | 0.625 |
153
+
154
+
155
+ Results for non: accuracy 0.9672131147540983
156
+ | | Segment Content | Segment Boundary |
157
+ |-----------+-------------------+--------------------|
158
+ | Precision | 0.962963 | 1 |
159
+ | Recall | 1 | 0.777778 |
160
+ | F1 | 0.981132 | 0.875 |
161
+
162
+
163
+ Results for est: accuracy 0.96875
164
+ | | Segment Content | Segment Boundary |
165
+ |-----------+-------------------+--------------------|
166
+ | Precision | 0.967213 | 1 |
167
+ | Recall | 1 | 0.6 |
168
+ | F1 | 0.983333 | 0.75 |
169
+
170
+
171
+ Results for (: accuracy 0.6875
172
+ | | Segment Content | Segment Boundary |
173
+ |-----------+-------------------+--------------------|
174
+ | Precision | 0.666667 | 0.714286 |
175
+ | Recall | 0.75 | 0.625 |
176
+ | F1 | 0.705882 | 0.666667 |
177
+
178
+
179
+ Results for Et: accuracy 1.0
180
+ | | Segment Content | Segment Boundary |
181
+ |-----------+-------------------+--------------------|
182
+ | Precision | 1 | 1 |
183
+ | Recall | 1 | 1 |
184
+ | F1 | 1 | 1 |
185
+
186
+
187
+ Results for ali: accuracy 1.0
188
+ | | Segment Content | Segment Boundary |
189
+ |-----------+-------------------+--------------------|
190
+ | Precision | 1 | 1 |
191
+ | Recall | 1 | 1 |
192
+ | F1 | 1 | 1 |
193
+
194
+
195
+ Results for a: accuracy 0.88
196
+ | | Segment Content | Segment Boundary |
197
+ |-----------+-------------------+--------------------|
198
+ | Precision | 0.888889 | 0.857143 |
199
+ | Recall | 0.941176 | 0.75 |
200
+ | F1 | 0.914286 | 0.8 |
201
+
202
+
203
+ Results for di: accuracy 0.975609756097561
204
+ | | Segment Content | Segment Boundary |
205
+ |-----------+-------------------+--------------------|
206
+ | Precision | 1 | 0.666667 |
207
+ | Recall | 0.974359 | 1 |
208
+ | F1 | 0.987013 | 0.8 |
209
+
210
+
211
+ Results for sunt: accuracy 0.9736842105263158
212
+ | | Segment Content | Segment Boundary |
213
+ |-----------+-------------------+--------------------|
214
+ | Precision | 0.970588 | 1 |
215
+ | Recall | 1 | 0.8 |
216
+ | F1 | 0.985075 | 0.888889 |
217
+
218
+
219
+ Results for esse: accuracy 0.9
220
+ | | Segment Content | Segment Boundary |
221
+ |-----------+-------------------+--------------------|
222
+ | Precision | 0.96 | 0.6 |
223
+ | Recall | 0.923077 | 0.75 |
224
+ | F1 | 0.941176 | 0.666667 |
225
+
226
+
227
+ Results for post: accuracy 0.9090909090909091
228
+ | | Segment Content | Segment Boundary |
229
+ |-----------+-------------------+--------------------|
230
+ | Precision | 1 | 0.8 |
231
+ | Recall | 0.857143 | 1 |
232
+ | F1 | 0.923077 | 0.888889 |
233
+
234
+
235
+ Results for re: accuracy 1.0
236
+ | | Segment Content | Segment Boundary |
237
+ |-----------+-------------------+--------------------|
238
+ | Precision | 1 | 1 |
239
+ | Recall | 1 | 1 |
240
+ | F1 | 1 | 1 |
241
+
242
+
243
+ Results for i: accuracy 0.9393939393939394
244
+ | | Segment Content | Segment Boundary |
245
+ |-----------+-------------------+--------------------|
246
+ | Precision | 0.933333 | 1 |
247
+ | Recall | 1 | 0.6 |
248
+ | F1 | 0.965517 | 0.75 |
249
+
250
+
251
+ Results for om: accuracy 0.9696969696969697
252
+ | | Segment Content | Segment Boundary |
253
+ |-----------+-------------------+--------------------|
254
+ | Precision | 0.966667 | 1 |
255
+ | Recall | 1 | 0.75 |
256
+ | F1 | 0.983051 | 0.857143 |
257
+
258
+
259
+ Results for debe: accuracy 0.875
260
+ | | Segment Content | Segment Boundary |
261
+ |-----------+-------------------+--------------------|
262
+ | Precision | 1 | 0.4 |
263
+ | Recall | 0.863636 | 1 |
264
+ | F1 | 0.926829 | 0.571429 |
265
+
266
+
267
+ Results for sub: accuracy 0.75
268
+ | | Segment Content | Segment Boundary |
269
+ |-----------+-------------------+--------------------|
270
+ | Precision | 0.857143 | 0.6 |
271
+ | Recall | 0.75 | 0.75 |
272
+ | F1 | 0.8 | 0.666667 |
273
+
274
+
275
+ Results for eo: accuracy 0.9642857142857143
276
+ | | Segment Content | Segment Boundary |
277
+ |-----------+-------------------+--------------------|
278
+ | Precision | 0.958333 | 1 |
279
+ | Recall | 1 | 0.8 |
280
+ | F1 | 0.978723 | 0.888889 |
281
+
282
+
283
+ Results for qua: accuracy 0.9130434782608695
284
+ | | Segment Content | Segment Boundary |
285
+ |-----------+-------------------+--------------------|
286
+ | Precision | 0.944444 | 0.8 |
287
+ | Recall | 0.944444 | 0.8 |
288
+ | F1 | 0.944444 | 0.8 |
289
+
290
+
291
+ Results for secundum: accuracy 0.85
292
+ | | Segment Content | Segment Boundary |
293
+ |-----------+-------------------+--------------------|
294
+ | Precision | 0.8 | 1 |
295
+ | Recall | 1 | 0.625 |
296
+ | F1 | 0.888889 | 0.769231 |
297
+
298
+
299
+ Results for inter: accuracy 1.0
300
+ | | Segment Content | Segment Boundary |
301
+ |-----------+-------------------+--------------------|
302
+ | Precision | 1 | 1 |
303
+ | Recall | 1 | 1 |
304
+ | F1 | 1 | 1 |
305
+
306
+
307
+ Results for ni: accuracy 0.875
308
+ | | Segment Content | Segment Boundary |
309
+ |-----------+-------------------+--------------------|
310
+ | Precision | 0.75 | 1 |
311
+ | Recall | 1 | 0.8 |
312
+ | F1 | 0.857143 | 0.888889 |
313
+
314
+
315
+ Results for quali: accuracy 1.0
316
+ | | Segment Content | Segment Boundary |
317
+ |-----------+-------------------+--------------------|
318
+ | Precision | 1 | 1 |
319
+ | Recall | 1 | 1 |
320
+ | F1 | 1 | 1 |
321
+
322
+
323
+ Results for pra: accuracy 0.8846153846153846
324
+ | | Segment Content | Segment Boundary |
325
+ |-----------+-------------------+--------------------|
326
+ | Precision | 0.956522 | 0.333333 |
327
+ | Recall | 0.916667 | 0.5 |
328
+ | F1 | 0.93617 | 0.4 |
329
+
330
+
331
+ Results for que: accuracy 0.8333333333333334
332
+ | | Segment Content | Segment Boundary |
333
+ |-----------+-------------------+--------------------|
334
+ | Precision | 0.5 | 0.928571 |
335
+ | Recall | 0.666667 | 0.866667 |
336
+ | F1 | 0.571429 | 0.896552 |
337
+
338
+
339
+ Results for causa: accuracy 0.8888888888888888
340
+ | | Segment Content | Segment Boundary |
341
+ |-----------+-------------------+--------------------|
342
+ | Precision | 1 | 0.75 |
343
+ | Recall | 0.833333 | 1 |
344
+ | F1 | 0.909091 | 0.857143 |
345
+
346
+
347
+ Results for sua: accuracy 0.8888888888888888
348
+ | | Segment Content | Segment Boundary |
349
+ |-----------+-------------------+--------------------|
350
+ | Precision | 1 | 0.75 |
351
+ | Recall | 0.833333 | 1 |
352
+ | F1 | 0.909091 | 0.857143 |
353
+
354
+
355
+ Results for im: accuracy 0.9444444444444444
356
+ | | Segment Content | Segment Boundary |
357
+ |-----------+-------------------+--------------------|
358
+ | Precision | 1 | 0.75 |
359
+ | Recall | 0.933333 | 1 |
360
+ | F1 | 0.965517 | 0.857143 |
361
+
362
+
363
+ Results for id: accuracy 0.7777777777777778
364
+ | | Segment Content | Segment Boundary |
365
+ |-----------+-------------------+--------------------|
366
+ | Precision | 1 | 0.5 |
367
+ | Recall | 0.714286 | 1 |
368
+ | F1 | 0.833333 | 0.666667 |
369
+
370
+
371
+ Results for red: accuracy 0.8823529411764706
372
+ | | Segment Content | Segment Boundary |
373
+ |-----------+-------------------+--------------------|
374
+ | Precision | 1 | 0.5 |
375
+ | Recall | 0.866667 | 1 |
376
+ | F1 | 0.928571 | 0.666667 |
377
+
378
+
379
+ Results for ab: accuracy 0.8571428571428571
380
+ | | Segment Content | Segment Boundary |
381
+ |-----------+-------------------+--------------------|
382
+ | Precision | 0.833333 | 1 |
383
+ | Recall | 1 | 0.5 |
384
+ | F1 | 0.909091 | 0.666667 |
385
+
386
+
387
+ Results for maxime: accuracy 0.9333333333333333
388
+ | | Segment Content | Segment Boundary |
389
+ |-----------+-------------------+--------------------|
390
+ | Precision | 0.909091 | 1 |
391
+ | Recall | 1 | 0.8 |
392
+ | F1 | 0.952381 | 0.888889 |
393
+
394
+
395
+ Results for quem: accuracy 1.0
396
+ | | Segment Content | Segment Boundary |
397
+ |-----------+-------------------+--------------------|
398
+ | Precision | 1 | 1 |
399
+ | Recall | 1 | 1 |
400
+ | F1 | 1 | 1 |
401
+
402
+
403
+ Results for o: accuracy 1.0
404
+ | | Segment Content | Segment Boundary |
405
+ |-----------+-------------------+--------------------|
406
+ | Precision | 1 | 1 |
407
+ | Recall | 1 | 1 |
408
+ | F1 | 1 | 1 |
409
+
410
+
411
+ Results for pos: accuracy 1.0
412
+ | | Segment Content | Segment Boundary |
413
+ |-----------+-------------------+--------------------|
414
+ | Precision | 1 | 1 |
415
+ | Recall | 1 | 1 |
416
+ | F1 | 1 | 1 |
417
+
418
+
419
+ Results for ide: accuracy 0.8181818181818182
420
+ | | Segment Content | Segment Boundary |
421
+ |-----------+-------------------+--------------------|
422
+ | Precision | 0.666667 | 0.875 |
423
+ | Recall | 0.666667 | 0.875 |
424
+ | F1 | 0.666667 | 0.875 |
425
+
426
+
427
+ Results for li: accuracy 1.0
428
+ | | Segment Content | Segment Boundary |
429
+ |-----------+-------------------+--------------------|
430
+ | Precision | 1 | 1 |
431
+ | Recall | 1 | 1 |
432
+ | F1 | 1 | 1 |
433
+
434
+
435
+ Results for aut: accuracy 0.5714285714285714
436
+ | | Segment Content | Segment Boundary |
437
+ |-----------+-------------------+--------------------|
438
+ | Precision | 1 | 0.25 |
439
+ | Recall | 0.5 | 1 |
440
+ | F1 | 0.666667 | 0.4 |
441
+
442
+
443
+ Results for it: accuracy 1.0
444
+ | | Segment Content | Segment Boundary |
445
+ |-----------+-------------------+--------------------|
446
+ | Precision | 1 | 1 |
447
+ | Recall | 1 | 1 |
448
+ | F1 | 1 | 1 |
449
+
450
+
451
+ Results for prop: accuracy 1.0
452
+ | | Segment Content | Segment Boundary |
453
+ |-----------+-------------------+--------------------|
454
+ | Precision | 1 | 1 |
455
+ | Recall | 1 | 1 |
456
+ | F1 | 1 | 1 |
457
+
458
+
459
+ Results for domi: accuracy 1.0
460
+ | | Segment Content | Segment Boundary |
461
+ |-----------+-------------------+--------------------|
462
+ | Precision | 1 | 1 |
463
+ | Recall | 1 | 1 |
464
+ | F1 | 1 | 1 |
465
+
466
+
logs/resultats_ambiguite_pt.txt ADDED
@@ -0,0 +1,434 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.980988522434737.
2
+
3
+ Results for e: accuracy 0.9375
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.9375 | 0.9375 |
7
+ | Recall | 0.954545 | 0.914634 |
8
+ | F1 | 0.945946 | 0.925926 |
9
+
10
+
11
+ Results for que: accuracy 0.9645390070921985
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 0.964286 | 0.965517 |
15
+ | Recall | 0.990826 | 0.875 |
16
+ | F1 | 0.977376 | 0.918033 |
17
+
18
+
19
+ Results for ca: accuracy 0.9428571428571428
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 1 | 0.9 |
23
+ | Recall | 0.882353 | 1 |
24
+ | F1 | 0.9375 | 0.947368 |
25
+
26
+
27
+ Results for a: accuracy 0.9935064935064936
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 1 | 0.875 |
31
+ | Recall | 0.993197 | 1 |
32
+ | F1 | 0.996587 | 0.933333 |
33
+
34
+
35
+ Results for disse: accuracy 1.0
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 1 | 1 |
39
+ | Recall | 1 | 1 |
40
+ | F1 | 1 | 1 |
41
+
42
+
43
+ Results for o: accuracy 0.9714285714285714
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 0.977444 | 0.857143 |
47
+ | Recall | 0.992366 | 0.666667 |
48
+ | F1 | 0.984848 | 0.75 |
49
+
50
+
51
+ Results for E: accuracy 0.9918032786885246
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 1 | 0.991597 |
55
+ | Recall | 0.75 | 1 |
56
+ | F1 | 0.857143 | 0.995781 |
57
+
58
+
59
+ Results for em: accuracy 0.9753086419753086
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 1 | 0.8 |
63
+ | Recall | 0.972603 | 1 |
64
+ | F1 | 0.986111 | 0.888889 |
65
+
66
+
67
+ Results for u: accuracy 1.0
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 1 | 1 |
71
+ | Recall | 1 | 1 |
72
+ | F1 | 1 | 1 |
73
+
74
+
75
+ Results for co: accuracy 1.0
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 1 | 1 |
79
+ | Recall | 1 | 1 |
80
+ | F1 | 1 | 1 |
81
+
82
+
83
+ Results for por: accuracy 1.0
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 1 | 1 |
87
+ | Recall | 1 | 1 |
88
+ | F1 | 1 | 1 |
89
+
90
+
91
+ Results for per: accuracy 1.0
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 1 | 1 |
95
+ | Recall | 1 | 1 |
96
+ | F1 | 1 | 1 |
97
+
98
+
99
+ Results for as: accuracy 1.0
100
+ | | Segment Content | Segment Boundary |
101
+ |-----------+-------------------+--------------------|
102
+ | Precision | 1 | 1 |
103
+ | Recall | 1 | 1 |
104
+ | F1 | 1 | 1 |
105
+
106
+
107
+ Results for ou: accuracy 0.9655172413793104
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 0.952381 | 1 |
111
+ | Recall | 1 | 0.888889 |
112
+ | F1 | 0.97561 | 0.941176 |
113
+
114
+
115
+ Results for se: accuracy 0.9787234042553191
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 0.976744 | 1 |
119
+ | Recall | 1 | 0.8 |
120
+ | F1 | 0.988235 | 0.888889 |
121
+
122
+
123
+ Results for com: accuracy 0.975609756097561
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 1 | 0.8 |
127
+ | Recall | 0.972973 | 1 |
128
+ | F1 | 0.986301 | 0.888889 |
129
+
130
+
131
+ Results for nom: accuracy 1.0
132
+ | | Segment Content | Segment Boundary |
133
+ |-----------+-------------------+--------------------|
134
+ | Precision | 1 | 1 |
135
+ | Recall | 1 | 1 |
136
+ | F1 | 1 | 1 |
137
+
138
+
139
+ Results for q: accuracy 1.0
140
+ | | Segment Content | Segment Boundary |
141
+ |-----------+-------------------+--------------------|
142
+ | Precision | 1 | 1 |
143
+ | Recall | 1 | 1 |
144
+ | F1 | 1 | 1 |
145
+
146
+
147
+ Results for verdade: accuracy 1.0
148
+ | | Segment Content | Segment Boundary |
149
+ |-----------+-------------------+--------------------|
150
+ | Precision | 1 | 1 |
151
+ | Recall | 1 | 1 |
152
+ | F1 | 1 | 1 |
153
+
154
+
155
+ Results for con: accuracy 0.9642857142857143
156
+ | | Segment Content | Segment Boundary |
157
+ |-----------+-------------------+--------------------|
158
+ | Precision | 1 | 0.8 |
159
+ | Recall | 0.958333 | 1 |
160
+ | F1 | 0.978723 | 0.888889 |
161
+
162
+
163
+ Results for esto: accuracy 0.96
164
+ | | Segment Content | Segment Boundary |
165
+ |-----------+-------------------+--------------------|
166
+ | Precision | 0.95 | 1 |
167
+ | Recall | 1 | 0.833333 |
168
+ | F1 | 0.974359 | 0.909091 |
169
+
170
+
171
+ Results for n: accuracy 1.0
172
+ | | Segment Content | Segment Boundary |
173
+ |-----------+-------------------+--------------------|
174
+ | Precision | 1 | 1 |
175
+ | Recall | 1 | 1 |
176
+ | F1 | 1 | 1 |
177
+
178
+
179
+ Results for rey: accuracy 1.0
180
+ | | Segment Content | Segment Boundary |
181
+ |-----------+-------------------+--------------------|
182
+ | Precision | 1 | 1 |
183
+ | Recall | 1 | 1 |
184
+ | F1 | 1 | 1 |
185
+
186
+
187
+ Results for hom: accuracy 1.0
188
+ | | Segment Content | Segment Boundary |
189
+ |-----------+-------------------+--------------------|
190
+ | Precision | 1 | 1 |
191
+ | Recall | 1 | 1 |
192
+ | F1 | 1 | 1 |
193
+
194
+
195
+ Results for c: accuracy 1.0
196
+ | | Segment Content | Segment Boundary |
197
+ |-----------+-------------------+--------------------|
198
+ | Precision | 1 | 1 |
199
+ | Recall | 1 | 1 |
200
+ | F1 | 1 | 1 |
201
+
202
+
203
+ Results for mo: accuracy 1.0
204
+ | | Segment Content | Segment Boundary |
205
+ |-----------+-------------------+--------------------|
206
+ | Precision | 1 | 1 |
207
+ | Recall | 1 | 1 |
208
+ | F1 | 1 | 1 |
209
+
210
+
211
+ Results for des: accuracy 0.9565217391304348
212
+ | | Segment Content | Segment Boundary |
213
+ |-----------+-------------------+--------------------|
214
+ | Precision | 0.947368 | 1 |
215
+ | Recall | 1 | 0.8 |
216
+ | F1 | 0.972973 | 0.888889 |
217
+
218
+
219
+ Results for f: accuracy 1.0
220
+ | | Segment Content | Segment Boundary |
221
+ |-----------+-------------------+--------------------|
222
+ | Precision | 1 | 1 |
223
+ | Recall | 1 | 1 |
224
+ | F1 | 1 | 1 |
225
+
226
+
227
+ Results for [UNK]: accuracy 0.8636363636363636
228
+ | | Segment Content | Segment Boundary |
229
+ |-----------+-------------------+--------------------|
230
+ | Precision | 0.947368 | 0.333333 |
231
+ | Recall | 0.9 | 0.5 |
232
+ | F1 | 0.923077 | 0.4 |
233
+
234
+
235
+ Results for todos: accuracy 1.0
236
+ | | Segment Content | Segment Boundary |
237
+ |-----------+-------------------+--------------------|
238
+ | Precision | 1 | 1 |
239
+ | Recall | 1 | 1 |
240
+ | F1 | 1 | 1 |
241
+
242
+
243
+ Results for elle: accuracy 1.0
244
+ | | Segment Content | Segment Boundary |
245
+ |-----------+-------------------+--------------------|
246
+ | Precision | 1 | 1 |
247
+ | Recall | 1 | 1 |
248
+ | F1 | 1 | 1 |
249
+
250
+
251
+ Results for p: accuracy 0.9
252
+ | | Segment Content | Segment Boundary |
253
+ |-----------+-------------------+--------------------|
254
+ | Precision | 1 | 0.75 |
255
+ | Recall | 0.857143 | 1 |
256
+ | F1 | 0.923077 | 0.857143 |
257
+
258
+
259
+ Results for Mer: accuracy 1.0
260
+ | | Segment Content | Segment Boundary |
261
+ |-----------+-------------------+--------------------|
262
+ | Precision | 1 | 1 |
263
+ | Recall | 1 | 1 |
264
+ | F1 | 1 | 1 |
265
+
266
+
267
+ Results for in: accuracy 1.0
268
+ | | Segment Content | Segment Boundary |
269
+ |-----------+-------------------+--------------------|
270
+ | Precision | 1 | 1 |
271
+ | Recall | 1 | 1 |
272
+ | F1 | 1 | 1 |
273
+
274
+
275
+ Results for ge: accuracy 1.0
276
+ | | Segment Content | Segment Boundary |
277
+ |-----------+-------------------+--------------------|
278
+ | Precision | 1 | 1 |
279
+ | Recall | 1 | 1 |
280
+ | F1 | 1 | 1 |
281
+
282
+
283
+ Results for tra: accuracy 1.0
284
+ | | Segment Content | Segment Boundary |
285
+ |-----------+-------------------+--------------------|
286
+ | Precision | 1 | 1 |
287
+ | Recall | 1 | 1 |
288
+ | F1 | 1 | 1 |
289
+
290
+
291
+ Results for ass: accuracy 1.0
292
+ | | Segment Content | Segment Boundary |
293
+ |-----------+-------------------+--------------------|
294
+ | Precision | 1 | 1 |
295
+ | Recall | 1 | 1 |
296
+ | F1 | 1 | 1 |
297
+
298
+
299
+ Results for al: accuracy 1.0
300
+ | | Segment Content | Segment Boundary |
301
+ |-----------+-------------------+--------------------|
302
+ | Precision | 1 | 1 |
303
+ | Recall | 1 | 1 |
304
+ | F1 | 1 | 1 |
305
+
306
+
307
+ Results for pe: accuracy 1.0
308
+ | | Segment Content | Segment Boundary |
309
+ |-----------+-------------------+--------------------|
310
+ | Precision | 1 | 1 |
311
+ | Recall | 1 | 1 |
312
+ | F1 | 1 | 1 |
313
+
314
+
315
+ Results for es: accuracy 1.0
316
+ | | Segment Content | Segment Boundary |
317
+ |-----------+-------------------+--------------------|
318
+ | Precision | 1 | 1 |
319
+ | Recall | 1 | 1 |
320
+ | F1 | 1 | 1 |
321
+
322
+
323
+ Results for esta: accuracy 1.0
324
+ | | Segment Content | Segment Boundary |
325
+ |-----------+-------------------+--------------------|
326
+ | Precision | 1 | 1 |
327
+ | Recall | 1 | 1 |
328
+ | F1 | 1 | 1 |
329
+
330
+
331
+ Results for ir: accuracy 1.0
332
+ | | Segment Content | Segment Boundary |
333
+ |-----------+-------------------+--------------------|
334
+ | Precision | 1 | 1 |
335
+ | Recall | 1 | 1 |
336
+ | F1 | 1 | 1 |
337
+
338
+
339
+ Results for vir: accuracy 1.0
340
+ | | Segment Content | Segment Boundary |
341
+ |-----------+-------------------+--------------------|
342
+ | Precision | 1 | 1 |
343
+ | Recall | 1 | 1 |
344
+ | F1 | 1 | 1 |
345
+
346
+
347
+ Results for ç: accuracy 1.0
348
+ | | Segment Content | Segment Boundary |
349
+ |-----------+-------------------+--------------------|
350
+ | Precision | 1 | 1 |
351
+ | Recall | 1 | 1 |
352
+ | F1 | 1 | 1 |
353
+
354
+
355
+ Results for quando: accuracy 0.9
356
+ | | Segment Content | Segment Boundary |
357
+ |-----------+-------------------+--------------------|
358
+ | Precision | 0.857143 | 1 |
359
+ | Recall | 1 | 0.75 |
360
+ | F1 | 0.923077 | 0.857143 |
361
+
362
+
363
+ Results for A: accuracy 0.8571428571428571
364
+ | | Segment Content | Segment Boundary |
365
+ |-----------+-------------------+--------------------|
366
+ | Precision | 0.666667 | 1 |
367
+ | Recall | 1 | 0.8 |
368
+ | F1 | 0.8 | 0.888889 |
369
+
370
+
371
+ Results for Nun: accuracy 1.0
372
+ | | Segment Content | Segment Boundary |
373
+ |-----------+-------------------+--------------------|
374
+ | Precision | 1 | 1 |
375
+ | Recall | 1 | 1 |
376
+ | F1 | 1 | 1 |
377
+
378
+
379
+ Results for nome: accuracy 1.0
380
+ | | Segment Content | Segment Boundary |
381
+ |-----------+-------------------+--------------------|
382
+ | Precision | 1 | 1 |
383
+ | Recall | 1 | 1 |
384
+ | F1 | 1 | 1 |
385
+
386
+
387
+ Results for san: accuracy 1.0
388
+ | | Segment Content | Segment Boundary |
389
+ |-----------+-------------------+--------------------|
390
+ | Precision | 1 | 1 |
391
+ | Recall | 1 | 1 |
392
+ | F1 | 1 | 1 |
393
+
394
+
395
+ Results for dizer: accuracy 1.0
396
+ | | Segment Content | Segment Boundary |
397
+ |-----------+-------------------+--------------------|
398
+ | Precision | 1 | 1 |
399
+ | Recall | 1 | 1 |
400
+ | F1 | 1 | 1 |
401
+
402
+
403
+ Results for Jo: accuracy 1.0
404
+ | | Segment Content | Segment Boundary |
405
+ |-----------+-------------------+--------------------|
406
+ | Precision | 1 | 1 |
407
+ | Recall | 1 | 1 |
408
+ | F1 | 1 | 1 |
409
+
410
+
411
+ Results for Al: accuracy 1.0
412
+ | | Segment Content | Segment Boundary |
413
+ |-----------+-------------------+--------------------|
414
+ | Precision | 1 | 1 |
415
+ | Recall | 1 | 1 |
416
+ | F1 | 1 | 1 |
417
+
418
+
419
+ Results for chama: accuracy 1.0
420
+ | | Segment Content | Segment Boundary |
421
+ |-----------+-------------------+--------------------|
422
+ | Precision | 1 | 1 |
423
+ | Recall | 1 | 1 |
424
+ | F1 | 1 | 1 |
425
+
426
+
427
+ Results for tomar: accuracy 0.875
428
+ | | Segment Content | Segment Boundary |
429
+ |-----------+-------------------+--------------------|
430
+ | Precision | 1 | 0.666667 |
431
+ | Recall | 0.833333 | 1 |
432
+ | F1 | 0.909091 | 0.8 |
433
+
434
+