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  1. config.json +41 -0
  2. model.safetensors +3 -0
  3. optimizer.pt +3 -0
  4. results/in-domain/best_model.ca.txt +12 -0
  5. results/in-domain/best_model.en.txt +12 -0
  6. results/in-domain/best_model.es.txt +12 -0
  7. results/in-domain/best_model.fr.txt +12 -0
  8. results/in-domain/best_model.it.txt +12 -0
  9. results/in-domain/best_model.la.txt +12 -0
  10. results/in-domain/best_model.pt.txt +12 -0
  11. results/in-domain/resultats_ambiguite_ca.txt +234 -0
  12. results/in-domain/resultats_ambiguite_en.txt +218 -0
  13. results/in-domain/resultats_ambiguite_es.txt +386 -0
  14. results/in-domain/resultats_ambiguite_fr.txt +298 -0
  15. results/in-domain/resultats_ambiguite_it.txt +218 -0
  16. results/in-domain/resultats_ambiguite_la.txt +546 -0
  17. results/in-domain/resultats_ambiguite_pt.txt +338 -0
  18. results/in-domain/results.txt +6 -0
  19. results/out-of-domain/HTR/best_model.ca.txt +12 -0
  20. results/out-of-domain/HTR/best_model.es.txt +12 -0
  21. results/out-of-domain/HTR/best_model.fr.txt +12 -0
  22. results/out-of-domain/HTR/best_model.la.txt +12 -0
  23. results/out-of-domain/HTR/resultats_ambiguite_ca.txt +98 -0
  24. results/out-of-domain/HTR/resultats_ambiguite_es.txt +66 -0
  25. results/out-of-domain/HTR/resultats_ambiguite_fr.txt +146 -0
  26. results/out-of-domain/HTR/resultats_ambiguite_la.txt +154 -0
  27. results/out-of-domain/HTR/results.txt +6 -0
  28. results/out-of-domain/other_langs/best_model.ca.txt +12 -0
  29. results/out-of-domain/other_langs/resultats_ambiguite_ca.txt +250 -0
  30. results/out-of-domain/other_langs/results.txt +6 -0
  31. rng_state.pth +3 -0
  32. scheduler.pt +3 -0
  33. trainer_state.json +102 -0
  34. training_args.bin +3 -0
config.json ADDED
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+ {
2
+ "_name_or_path": "google-bert/bert-base-multilingual-cased",
3
+ "architectures": [
4
+ "BertForTokenClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "directionality": "bidi",
9
+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
12
+ "id2label": {
13
+ "0": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1,
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+ "LABEL_2": 2
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "pooler_fc_size": 768,
31
+ "pooler_num_attention_heads": 12,
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+ "pooler_num_fc_layers": 3,
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+ "pooler_size_per_head": 128,
34
+ "pooler_type": "first_token_transform",
35
+ "position_embedding_type": "absolute",
36
+ "torch_dtype": "float32",
37
+ "transformers_version": "4.48.0",
38
+ "type_vocab_size": 2,
39
+ "use_cache": true,
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+ "vocab_size": 119547
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+ }
model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:69c7c88ba1938ea304008c4fb9c1fad8c1253a9b89881a23dd647956d01b5967
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+ size 709083980
optimizer.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:01ecfaf470ba0fe1e5e0b2cfefe3f71753eb891306a8e426e4256b61f1df412b
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+ size 1418286549
results/in-domain/best_model.ca.txt ADDED
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+ Best model on test data for ca:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.978373 | 0.861314 |
5
+ | Recall | 0.979631 | 0.853835 |
6
+ | F1 | 0.979001 | 0.857558 |
7
+ Best model on test data for ca:
8
+ | | Segment Content | Segment Boundary |
9
+ |-----------+-------------------+--------------------|
10
+ | Precision | 0.978373 | 0.861314 |
11
+ | Recall | 0.979631 | 0.853835 |
12
+ | F1 | 0.979001 | 0.857558 |
results/in-domain/best_model.en.txt ADDED
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1
+ Best model on test data for en:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.971703 | 0.845269 |
5
+ | Recall | 0.966922 | 0.865183 |
6
+ | F1 | 0.969307 | 0.85511 |
7
+ Best model on test data for en:
8
+ | | Segment Content | Segment Boundary |
9
+ |-----------+-------------------+--------------------|
10
+ | Precision | 0.971703 | 0.845269 |
11
+ | Recall | 0.966922 | 0.865183 |
12
+ | F1 | 0.969307 | 0.85511 |
results/in-domain/best_model.es.txt ADDED
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+ Best model on test data for es:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.972258 | 0.865789 |
5
+ | Recall | 0.971719 | 0.868074 |
6
+ | F1 | 0.971989 | 0.86693 |
7
+ Best model on test data for es:
8
+ | | Segment Content | Segment Boundary |
9
+ |-----------+-------------------+--------------------|
10
+ | Precision | 0.972258 | 0.865789 |
11
+ | Recall | 0.971719 | 0.868074 |
12
+ | F1 | 0.971989 | 0.86693 |
results/in-domain/best_model.fr.txt ADDED
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+ Best model on test data for fr:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.991857 | 0.916451 |
5
+ | Recall | 0.987319 | 0.944938 |
6
+ | F1 | 0.989583 | 0.930477 |
7
+ Best model on test data for fr:
8
+ | | Segment Content | Segment Boundary |
9
+ |-----------+-------------------+--------------------|
10
+ | Precision | 0.991857 | 0.916451 |
11
+ | Recall | 0.987319 | 0.944938 |
12
+ | F1 | 0.989583 | 0.930477 |
results/in-domain/best_model.it.txt ADDED
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+ Best model on test data for it:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.981437 | 0.861176 |
5
+ | Recall | 0.979753 | 0.871429 |
6
+ | F1 | 0.980594 | 0.866272 |
7
+ Best model on test data for it:
8
+ | | Segment Content | Segment Boundary |
9
+ |-----------+-------------------+--------------------|
10
+ | Precision | 0.981437 | 0.861176 |
11
+ | Recall | 0.979753 | 0.871429 |
12
+ | F1 | 0.980594 | 0.866272 |
results/in-domain/best_model.la.txt ADDED
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+ Best model on test data for la:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.976256 | 0.848318 |
5
+ | Recall | 0.966692 | 0.887931 |
6
+ | F1 | 0.97145 | 0.867673 |
7
+ Best model on test data for la:
8
+ | | Segment Content | Segment Boundary |
9
+ |-----------+-------------------+--------------------|
10
+ | Precision | 0.976256 | 0.848318 |
11
+ | Recall | 0.966692 | 0.887931 |
12
+ | F1 | 0.97145 | 0.867673 |
results/in-domain/best_model.pt.txt ADDED
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+ Best model on test data for pt:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.972987 | 0.900092 |
5
+ | Recall | 0.981207 | 0.861404 |
6
+ | F1 | 0.97708 | 0.880323 |
7
+ Best model on test data for pt:
8
+ | | Segment Content | Segment Boundary |
9
+ |-----------+-------------------+--------------------|
10
+ | Precision | 0.972987 | 0.900092 |
11
+ | Recall | 0.981207 | 0.861404 |
12
+ | F1 | 0.97708 | 0.880323 |
results/in-domain/resultats_ambiguite_ca.txt ADDED
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1
+ Mean accuracy: 0.9284613506807959.
2
+
3
+ Results for que: accuracy 0.8623188405797102
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.880597 | 0.84507 |
7
+ | Recall | 0.842857 | 0.882353 |
8
+ | F1 | 0.861314 | 0.863309 |
9
+
10
+
11
+ Results for e: accuracy 0.8859649122807017
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 0.828571 | 0.934959 |
15
+ | Recall | 0.915789 | 0.864662 |
16
+ | F1 | 0.87 | 0.898438 |
17
+
18
+
19
+ Results for per: accuracy 0.9482758620689655
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 0.94186 | 0.966667 |
23
+ | Recall | 0.987805 | 0.852941 |
24
+ | F1 | 0.964286 | 0.90625 |
25
+
26
+
27
+ Results for de: accuracy 0.9482758620689655
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.981366 | 0.538462 |
31
+ | Recall | 0.963415 | 0.7 |
32
+ | F1 | 0.972308 | 0.608696 |
33
+
34
+
35
+ Results for qui: accuracy 0.8936170212765957
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.764706 | 0.966667 |
39
+ | Recall | 0.928571 | 0.878788 |
40
+ | F1 | 0.83871 | 0.920635 |
41
+
42
+
43
+ Results for en: accuracy 0.9158878504672897
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 0.956989 | 0.642857 |
47
+ | Recall | 0.946809 | 0.692308 |
48
+ | F1 | 0.951872 | 0.666667 |
49
+
50
+
51
+ Results for a: accuracy 0.9537037037037037
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 0.96875 | 0.833333 |
55
+ | Recall | 0.978947 | 0.769231 |
56
+ | F1 | 0.973822 | 0.8 |
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 la: accuracy 0.9911504424778761
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 1 | 0.666667 |
71
+ | Recall | 0.990991 | 1 |
72
+ | F1 | 0.995475 | 0.8 |
73
+
74
+
75
+ Results for &: accuracy 0.6470588235294118
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 0.5 | 0.777778 |
79
+ | Recall | 0.666667 | 0.636364 |
80
+ | F1 | 0.571429 | 0.7 |
81
+
82
+
83
+ Results for lo: accuracy 0.9866666666666667
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 1 | 0.8 |
87
+ | Recall | 0.985915 | 1 |
88
+ | F1 | 0.992908 | 0.888889 |
89
+
90
+
91
+ Results for no: accuracy 0.9523809523809523
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 0.981818 | 0.75 |
95
+ | Recall | 0.964286 | 0.857143 |
96
+ | F1 | 0.972973 | 0.8 |
97
+
98
+
99
+ Results for es: accuracy 0.9508196721311475
100
+ | | Segment Content | Segment Boundary |
101
+ |-----------+-------------------+--------------------|
102
+ | Precision | 1 | 0 |
103
+ | Recall | 0.95082 | 0 |
104
+ | F1 | 0.97479 | 0 |
105
+
106
+
107
+ Results for ne: accuracy 0.8387096774193549
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 0.954545 | 0.555556 |
111
+ | Recall | 0.84 | 0.833333 |
112
+ | F1 | 0.893617 | 0.666667 |
113
+
114
+
115
+ Results for los: accuracy 0.9795918367346939
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 1 | 0.75 |
119
+ | Recall | 0.978261 | 1 |
120
+ | F1 | 0.989011 | 0.857143 |
121
+
122
+
123
+ Results for con: accuracy 0.9459459459459459
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 1 | 0.714286 |
127
+ | Recall | 0.9375 | 1 |
128
+ | F1 | 0.967742 | 0.833333 |
129
+
130
+
131
+ Results for E: accuracy 0.9318181818181818
132
+ | | Segment Content | Segment Boundary |
133
+ |-----------+-------------------+--------------------|
134
+ | Precision | 0 | 1 |
135
+ | Recall | 0 | 0.931818 |
136
+ | F1 | 0 | 0.964706 |
137
+
138
+
139
+ Results for les: accuracy 0.9523809523809523
140
+ | | Segment Content | Segment Boundary |
141
+ |-----------+-------------------+--------------------|
142
+ | Precision | 1 | 0.333333 |
143
+ | Recall | 0.95122 | 1 |
144
+ | F1 | 0.975 | 0.5 |
145
+
146
+
147
+ Results for ab: accuracy 0.9743589743589743
148
+ | | Segment Content | Segment Boundary |
149
+ |-----------+-------------------+--------------------|
150
+ | Precision | 1 | 0.75 |
151
+ | Recall | 0.972222 | 1 |
152
+ | F1 | 0.985915 | 0.857143 |
153
+
154
+
155
+ Results for si: 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 fil: accuracy 0.75
164
+ | | Segment Content | Segment Boundary |
165
+ |-----------+-------------------+--------------------|
166
+ | Precision | 1 | 0 |
167
+ | Recall | 0.75 | 0 |
168
+ | F1 | 0.857143 | 0 |
169
+
170
+
171
+ Results for so: 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 y: accuracy 0.7692307692307693
180
+ | | Segment Content | Segment Boundary |
181
+ |-----------+-------------------+--------------------|
182
+ | Precision | 0.75 | 0.8 |
183
+ | Recall | 0.857143 | 0.666667 |
184
+ | F1 | 0.8 | 0.727273 |
185
+
186
+
187
+ Results for De: accuracy 0.9583333333333334
188
+ | | Segment Content | Segment Boundary |
189
+ |-----------+-------------------+--------------------|
190
+ | Precision | 0.95 | 1 |
191
+ | Recall | 1 | 0.8 |
192
+ | F1 | 0.974359 | 0.888889 |
193
+
194
+
195
+ Results for pre: 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 se: accuracy 0.8888888888888888
204
+ | | Segment Content | Segment Boundary |
205
+ |-----------+-------------------+--------------------|
206
+ | Precision | 1 | 0.333333 |
207
+ | Recall | 0.882353 | 1 |
208
+ | F1 | 0.9375 | 0.5 |
209
+
210
+
211
+ Results for car: accuracy 1.0
212
+ | | Segment Content | Segment Boundary |
213
+ |-----------+-------------------+--------------------|
214
+ | Precision | 1 | 1 |
215
+ | Recall | 1 | 1 |
216
+ | F1 | 1 | 1 |
217
+
218
+
219
+ Results for et: 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 quant: accuracy 1.0
228
+ | | Segment Content | Segment Boundary |
229
+ |-----------+-------------------+--------------------|
230
+ | Precision | 1 | 1 |
231
+ | Recall | 1 | 1 |
232
+ | F1 | 1 | 1 |
233
+
234
+
results/in-domain/resultats_ambiguite_en.txt ADDED
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1
+ Mean accuracy: 0.9073291428020792.
2
+
3
+ Results for and: accuracy 0.8802083333333334
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.760563 | 0.950413 |
7
+ | Recall | 0.9 | 0.871212 |
8
+ | F1 | 0.824427 | 0.909091 |
9
+
10
+
11
+ Results for that: accuracy 0.8650793650793651
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 0.745098 | 0.946667 |
15
+ | Recall | 0.904762 | 0.845238 |
16
+ | F1 | 0.817204 | 0.893082 |
17
+
18
+
19
+ Results for to: accuracy 0.8561643835616438
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 0.88785 | 0.769231 |
23
+ | Recall | 0.913462 | 0.714286 |
24
+ | F1 | 0.900474 | 0.740741 |
25
+
26
+
27
+ Results for as: accuracy 0.8823529411764706
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.875 | 0.888889 |
31
+ | Recall | 0.875 | 0.888889 |
32
+ | F1 | 0.875 | 0.888889 |
33
+
34
+
35
+ Results for of: accuracy 0.835820895522388
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.873874 | 0.652174 |
39
+ | Recall | 0.92381 | 0.517241 |
40
+ | F1 | 0.898148 | 0.576923 |
41
+
42
+
43
+ Results for the: accuracy 0.9943502824858758
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 0.994186 | 1 |
47
+ | Recall | 1 | 0.833333 |
48
+ | F1 | 0.997085 | 0.909091 |
49
+
50
+
51
+ Results for þ: accuracy 0.928
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 0.962963 | 0.705882 |
55
+ | Recall | 0.954128 | 0.75 |
56
+ | F1 | 0.958525 | 0.727273 |
57
+
58
+
59
+ Results for in: accuracy 0.7702702702702703
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 0.872727 | 0.473684 |
63
+ | Recall | 0.827586 | 0.5625 |
64
+ | F1 | 0.849558 | 0.514286 |
65
+
66
+
67
+ Results for he: accuracy 0.9850746268656716
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 0.982143 | 1 |
71
+ | Recall | 1 | 0.916667 |
72
+ | F1 | 0.990991 | 0.956522 |
73
+
74
+
75
+ Results for w: accuracy 0.9722222222222222
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 1 | 0.916667 |
79
+ | Recall | 0.96 | 1 |
80
+ | F1 | 0.979592 | 0.956522 |
81
+
82
+
83
+ Results for for: accuracy 0.9361702127659575
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 0.916667 | 0.942857 |
87
+ | Recall | 0.846154 | 0.970588 |
88
+ | F1 | 0.88 | 0.956522 |
89
+
90
+
91
+ Results for is: accuracy 0.8444444444444444
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 0.941176 | 0.545455 |
95
+ | Recall | 0.864865 | 0.75 |
96
+ | F1 | 0.901408 | 0.631579 |
97
+
98
+
99
+ Results for I: accuracy 0.9473684210526315
100
+ | | Segment Content | Segment Boundary |
101
+ |-----------+-------------------+--------------------|
102
+ | Precision | 0.875 | 1 |
103
+ | Recall | 1 | 0.916667 |
104
+ | F1 | 0.933333 | 0.956522 |
105
+
106
+
107
+ Results for by: accuracy 0.9583333333333334
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 1 | 0.888889 |
111
+ | Recall | 0.9375 | 1 |
112
+ | F1 | 0.967742 | 0.941176 |
113
+
114
+
115
+ Results for than: accuracy 1.0
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 1 | 1 |
119
+ | Recall | 1 | 1 |
120
+ | F1 | 1 | 1 |
121
+
122
+
123
+ Results for a: accuracy 1.0
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 1 | 1 |
127
+ | Recall | 1 | 1 |
128
+ | F1 | 1 | 1 |
129
+
130
+
131
+ Results for was: accuracy 0.8709677419354839
132
+ | | Segment Content | Segment Boundary |
133
+ |-----------+-------------------+--------------------|
134
+ | Precision | 0.96 | 0.5 |
135
+ | Recall | 0.888889 | 0.75 |
136
+ | F1 | 0.923077 | 0.6 |
137
+
138
+
139
+ Results for men: accuracy 0.9047619047619048
140
+ | | Segment Content | Segment Boundary |
141
+ |-----------+-------------------+--------------------|
142
+ | Precision | 1 | 0.666667 |
143
+ | Recall | 0.882353 | 1 |
144
+ | F1 | 0.9375 | 0.8 |
145
+
146
+
147
+ Results for so: accuracy 0.9259259259259259
148
+ | | Segment Content | Segment Boundary |
149
+ |-----------+-------------------+--------------------|
150
+ | Precision | 0.956522 | 0.75 |
151
+ | Recall | 0.956522 | 0.75 |
152
+ | F1 | 0.956522 | 0.75 |
153
+
154
+
155
+ Results for s: accuracy 0.9310344827586207
156
+ | | Segment Content | Segment Boundary |
157
+ |-----------+-------------------+--------------------|
158
+ | Precision | 0.961538 | 0.666667 |
159
+ | Recall | 0.961538 | 0.666667 |
160
+ | F1 | 0.961538 | 0.666667 |
161
+
162
+
163
+ Results for they: accuracy 0.9642857142857143
164
+ | | Segment Content | Segment Boundary |
165
+ |-----------+-------------------+--------------------|
166
+ | Precision | 1 | 0.666667 |
167
+ | Recall | 0.961538 | 1 |
168
+ | F1 | 0.980392 | 0.8 |
169
+
170
+
171
+ Results for we: 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 Y: accuracy 0.8888888888888888
180
+ | | Segment Content | Segment Boundary |
181
+ |-----------+-------------------+--------------------|
182
+ | Precision | 1 | 0.8 |
183
+ | Recall | 0.8 | 1 |
184
+ | F1 | 0.888889 | 0.888889 |
185
+
186
+
187
+ Results for sh: accuracy 0.95
188
+ | | Segment Content | Segment Boundary |
189
+ |-----------+-------------------+--------------------|
190
+ | Precision | 1 | 0.666667 |
191
+ | Recall | 0.944444 | 1 |
192
+ | F1 | 0.971429 | 0.8 |
193
+
194
+
195
+ Results for fr: accuracy 0.8823529411764706
196
+ | | Segment Content | Segment Boundary |
197
+ |-----------+-------------------+--------------------|
198
+ | Precision | 0.857143 | 1 |
199
+ | Recall | 1 | 0.6 |
200
+ | F1 | 0.923077 | 0.75 |
201
+
202
+
203
+ Results for alle: accuracy 0.8571428571428571
204
+ | | Segment Content | Segment Boundary |
205
+ |-----------+-------------------+--------------------|
206
+ | Precision | 0.818182 | 1 |
207
+ | Recall | 1 | 0.6 |
208
+ | F1 | 0.9 | 0.75 |
209
+
210
+
211
+ Results for f: accuracy 0.6666666666666666
212
+ | | Segment Content | Segment Boundary |
213
+ |-----------+-------------------+--------------------|
214
+ | Precision | 1 | 0.5 |
215
+ | Recall | 0.5 | 1 |
216
+ | F1 | 0.666667 | 0.666667 |
217
+
218
+
results/in-domain/resultats_ambiguite_es.txt ADDED
@@ -0,0 +1,386 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.9086504051957734.
2
+
3
+ Results for que: accuracy 0.8821428571428571
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.821053 | 0.913514 |
7
+ | Recall | 0.829787 | 0.908602 |
8
+ | F1 | 0.825397 | 0.911051 |
9
+
10
+
11
+ Results for por: accuracy 0.865979381443299
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 0.853659 | 0.875 |
15
+ | Recall | 0.833333 | 0.890909 |
16
+ | F1 | 0.843373 | 0.882883 |
17
+
18
+
19
+ Results for de: accuracy 0.9216417910447762
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 0.963265 | 0.478261 |
23
+ | Recall | 0.951613 | 0.55 |
24
+ | F1 | 0.957404 | 0.511628 |
25
+
26
+
27
+ Results for &: accuracy 0.875
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.74359 | 0.927835 |
31
+ | Recall | 0.805556 | 0.9 |
32
+ | F1 | 0.773333 | 0.913706 |
33
+
34
+
35
+ Results for e: accuracy 0.9155844155844156
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.864865 | 0.931624 |
39
+ | Recall | 0.8 | 0.95614 |
40
+ | F1 | 0.831169 | 0.943723 |
41
+
42
+
43
+ Results for mas: accuracy 0.9387755102040817
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 0.95 | 0.931034 |
47
+ | Recall | 0.904762 | 0.964286 |
48
+ | F1 | 0.926829 | 0.947368 |
49
+
50
+
51
+ Results for y: accuracy 0.9047619047619048
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 0.761905 | 0.97619 |
55
+ | Recall | 0.941176 | 0.891304 |
56
+ | F1 | 0.842105 | 0.931818 |
57
+
58
+
59
+ Results for a: accuracy 0.8468468468468469
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 0.891304 | 0.631579 |
63
+ | Recall | 0.921348 | 0.545455 |
64
+ | F1 | 0.906077 | 0.585366 |
65
+
66
+
67
+ Results for et: accuracy 0.8222222222222222
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 0.588235 | 0.964286 |
71
+ | Recall | 0.909091 | 0.794118 |
72
+ | F1 | 0.714286 | 0.870968 |
73
+
74
+
75
+ Results for en: accuracy 0.9142857142857143
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 0.942529 | 0.777778 |
79
+ | Recall | 0.953488 | 0.736842 |
80
+ | F1 | 0.947977 | 0.756757 |
81
+
82
+
83
+ Results for el: accuracy 0.9781021897810219
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 0.976744 | 1 |
87
+ | Recall | 1 | 0.727273 |
88
+ | F1 | 0.988235 | 0.842105 |
89
+
90
+
91
+ Results for la: accuracy 0.9922480620155039
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 1 | 0.9 |
95
+ | Recall | 0.991667 | 1 |
96
+ | F1 | 0.995816 | 0.947368 |
97
+
98
+
99
+ Results for ca: 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 con: accuracy 0.9473684210526315
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 0.967213 | 0.866667 |
111
+ | Recall | 0.967213 | 0.866667 |
112
+ | F1 | 0.967213 | 0.866667 |
113
+
114
+
115
+ Results for dixo: accuracy 0.7735849056603774
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 0.75 | 0.846154 |
119
+ | Recall | 0.9375 | 0.52381 |
120
+ | F1 | 0.833333 | 0.647059 |
121
+
122
+
123
+ Results for los: accuracy 0.9493670886075949
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 0.973333 | 0.5 |
127
+ | Recall | 0.973333 | 0.5 |
128
+ | F1 | 0.973333 | 0.5 |
129
+
130
+
131
+ Results for señor: accuracy 0.8260869565217391
132
+ | | Segment Content | Segment Boundary |
133
+ |-----------+-------------------+--------------------|
134
+ | Precision | 0.857143 | 0.777778 |
135
+ | Recall | 0.857143 | 0.777778 |
136
+ | F1 | 0.857143 | 0.777778 |
137
+
138
+
139
+ Results for si: accuracy 0.96875
140
+ | | Segment Content | Segment Boundary |
141
+ |-----------+-------------------+--------------------|
142
+ | Precision | 0.954545 | 1 |
143
+ | Recall | 1 | 0.909091 |
144
+ | F1 | 0.976744 | 0.952381 |
145
+
146
+
147
+ Results for se: accuracy 0.9245283018867925
148
+ | | Segment Content | Segment Boundary |
149
+ |-----------+-------------------+--------------------|
150
+ | Precision | 0.978261 | 0.571429 |
151
+ | Recall | 0.9375 | 0.8 |
152
+ | F1 | 0.957447 | 0.666667 |
153
+
154
+
155
+ Results for no: accuracy 0.9152542372881356
156
+ | | Segment Content | Segment Boundary |
157
+ |-----------+-------------------+--------------------|
158
+ | Precision | 0.925926 | 0.8 |
159
+ | Recall | 0.980392 | 0.5 |
160
+ | F1 | 0.952381 | 0.615385 |
161
+
162
+
163
+ Results for yo: accuracy 0.9777777777777777
164
+ | | Segment Content | Segment Boundary |
165
+ |-----------+-------------------+--------------------|
166
+ | Precision | 0.972973 | 1 |
167
+ | Recall | 1 | 0.888889 |
168
+ | F1 | 0.986301 | 0.941176 |
169
+
170
+
171
+ Results for lo: accuracy 0.9482758620689655
172
+ | | Segment Content | Segment Boundary |
173
+ |-----------+-------------------+--------------------|
174
+ | Precision | 0.962963 | 0.75 |
175
+ | Recall | 0.981132 | 0.6 |
176
+ | F1 | 0.971963 | 0.666667 |
177
+
178
+
179
+ Results for como: accuracy 0.9
180
+ | | Segment Content | Segment Boundary |
181
+ |-----------+-------------------+--------------------|
182
+ | Precision | 0.952381 | 0.777778 |
183
+ | Recall | 0.909091 | 0.875 |
184
+ | F1 | 0.930233 | 0.823529 |
185
+
186
+
187
+ Results for non: accuracy 0.967741935483871
188
+ | | Segment Content | Segment Boundary |
189
+ |-----------+-------------------+--------------------|
190
+ | Precision | 0.96 | 1 |
191
+ | Recall | 1 | 0.857143 |
192
+ | F1 | 0.979592 | 0.923077 |
193
+
194
+
195
+ Results for es: 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 segun: accuracy 0.8181818181818182
204
+ | | Segment Content | Segment Boundary |
205
+ |-----------+-------------------+--------------------|
206
+ | Precision | 0.8 | 0.833333 |
207
+ | Recall | 0.8 | 0.833333 |
208
+ | F1 | 0.8 | 0.833333 |
209
+
210
+
211
+ Results for muy: accuracy 0.8333333333333334
212
+ | | Segment Content | Segment Boundary |
213
+ |-----------+-------------------+--------------------|
214
+ | Precision | 0.961538 | 0 |
215
+ | Recall | 0.862069 | 0 |
216
+ | F1 | 0.909091 | 0 |
217
+
218
+
219
+ Results for porque: 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 des: 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 qui: accuracy 0.9047619047619048
236
+ | | Segment Content | Segment Boundary |
237
+ |-----------+-------------------+--------------------|
238
+ | Precision | 0.882353 | 1 |
239
+ | Recall | 1 | 0.666667 |
240
+ | F1 | 0.9375 | 0.8 |
241
+
242
+
243
+ Results for sobre: 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 todo: 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 ass: accuracy 0.9
260
+ | | Segment Content | Segment Boundary |
261
+ |-----------+-------------------+--------------------|
262
+ | Precision | 1 | 0.75 |
263
+ | Recall | 0.857143 | 1 |
264
+ | F1 | 0.923077 | 0.857143 |
265
+
266
+
267
+ Results for quando: accuracy 0.9090909090909091
268
+ | | Segment Content | Segment Boundary |
269
+ |-----------+-------------------+--------------------|
270
+ | Precision | 1 | 0.75 |
271
+ | Recall | 0.875 | 1 |
272
+ | F1 | 0.933333 | 0.857143 |
273
+
274
+
275
+ Results for com: 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 nin: accuracy 0.9166666666666666
284
+ | | Segment Content | Segment Boundary |
285
+ |-----------+-------------------+--------------------|
286
+ | Precision | 1 | 0.875 |
287
+ | Recall | 0.8 | 1 |
288
+ | F1 | 0.888889 | 0.933333 |
289
+
290
+
291
+ Results for tan: accuracy 0.8823529411764706
292
+ | | Segment Content | Segment Boundary |
293
+ |-----------+-------------------+--------------------|
294
+ | Precision | 1 | 0.333333 |
295
+ | Recall | 0.875 | 1 |
296
+ | F1 | 0.933333 | 0.5 |
297
+
298
+
299
+ Results for o: accuracy 0.8571428571428571
300
+ | | Segment Content | Segment Boundary |
301
+ |-----------+-------------------+--------------------|
302
+ | Precision | 0.909091 | 0.666667 |
303
+ | Recall | 0.909091 | 0.666667 |
304
+ | F1 | 0.909091 | 0.666667 |
305
+
306
+
307
+ Results for ene: accuracy 0.8571428571428571
308
+ | | Segment Content | Segment Boundary |
309
+ |-----------+-------------------+--------------------|
310
+ | Precision | 1 | 0.333333 |
311
+ | Recall | 0.846154 | 1 |
312
+ | F1 | 0.916667 | 0.5 |
313
+
314
+
315
+ Results for mucho: accuracy 0.9230769230769231
316
+ | | Segment Content | Segment Boundary |
317
+ |-----------+-------------------+--------------------|
318
+ | Precision | 1 | 0.666667 |
319
+ | Recall | 0.909091 | 1 |
320
+ | F1 | 0.952381 | 0.8 |
321
+
322
+
323
+ Results for ab: 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 ala: accuracy 0.8333333333333334
332
+ | | Segment Content | Segment Boundary |
333
+ |-----------+-------------------+--------------------|
334
+ | Precision | 1 | 0.333333 |
335
+ | Recall | 0.818182 | 1 |
336
+ | F1 | 0.9 | 0.5 |
337
+
338
+
339
+ Results for Ca: 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 asi: 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 quien: 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 dix: accuracy 0.6666666666666666
364
+ | | Segment Content | Segment Boundary |
365
+ |-----------+-------------------+--------------------|
366
+ | Precision | 0.666667 | 0.666667 |
367
+ | Recall | 0.8 | 0.5 |
368
+ | F1 | 0.727273 | 0.571429 |
369
+
370
+
371
+ Results for contra: accuracy 0.625
372
+ | | Segment Content | Segment Boundary |
373
+ |-----------+-------------------+--------------------|
374
+ | Precision | 1 | 0 |
375
+ | Recall | 0.625 | 0 |
376
+ | F1 | 0.769231 | 0 |
377
+
378
+
379
+ Results for para: accuracy 0.875
380
+ | | Segment Content | Segment Boundary |
381
+ |-----------+-------------------+--------------------|
382
+ | Precision | 1 | 0.666667 |
383
+ | Recall | 0.833333 | 1 |
384
+ | F1 | 0.909091 | 0.8 |
385
+
386
+
results/in-domain/resultats_ambiguite_fr.txt ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.9516673403333639.
2
+
3
+ Results for et: accuracy 0.9342857142857143
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.878378 | 0.975248 |
7
+ | Recall | 0.962963 | 0.916279 |
8
+ | F1 | 0.918728 | 0.944844 |
9
+
10
+
11
+ Results for si: accuracy 0.9578947368421052
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 1 | 0.927273 |
15
+ | Recall | 0.909091 | 1 |
16
+ | F1 | 0.952381 | 0.962264 |
17
+
18
+
19
+ Results for que: accuracy 0.895
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 0.809524 | 0.934307 |
23
+ | Recall | 0.85 | 0.914286 |
24
+ | F1 | 0.829268 | 0.924188 |
25
+
26
+
27
+ Results for il: accuracy 0.9952830188679245
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.994595 | 1 |
31
+ | Recall | 1 | 0.964286 |
32
+ | F1 | 0.99729 | 0.981818 |
33
+
34
+
35
+ Results for de: accuracy 0.983739837398374
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.991304 | 0.875 |
39
+ | Recall | 0.991304 | 0.875 |
40
+ | F1 | 0.991304 | 0.875 |
41
+
42
+
43
+ Results for qu: accuracy 0.9253731343283582
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 0.818182 | 0.977778 |
47
+ | Recall | 0.947368 | 0.916667 |
48
+ | F1 | 0.878049 | 0.946237 |
49
+
50
+
51
+ Results for pour: accuracy 0.82
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 0.806452 | 0.842105 |
55
+ | Recall | 0.892857 | 0.727273 |
56
+ | F1 | 0.847458 | 0.780488 |
57
+
58
+
59
+ Results for en: 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 mes: 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 ne: accuracy 0.9586776859504132
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 0.963964 | 0.9 |
79
+ | Recall | 0.990741 | 0.692308 |
80
+ | F1 | 0.977169 | 0.782609 |
81
+
82
+
83
+ Results for a: accuracy 0.952755905511811
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 0.975207 | 0.5 |
87
+ | Recall | 0.975207 | 0.5 |
88
+ | F1 | 0.975207 | 0.5 |
89
+
90
+
91
+ Results for li: accuracy 0.9572649572649573
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 0.973451 | 0.5 |
95
+ | Recall | 0.982143 | 0.4 |
96
+ | F1 | 0.977778 | 0.444444 |
97
+
98
+
99
+ Results for ai: accuracy 0.8846153846153846
100
+ | | Segment Content | Segment Boundary |
101
+ |-----------+-------------------+--------------------|
102
+ | Precision | 0.933333 | 0.818182 |
103
+ | Recall | 0.875 | 0.9 |
104
+ | F1 | 0.903226 | 0.857143 |
105
+
106
+
107
+ Results for qui: accuracy 0.8939393939393939
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 0.538462 | 0.981132 |
111
+ | Recall | 0.875 | 0.896552 |
112
+ | F1 | 0.666667 | 0.936937 |
113
+
114
+
115
+ Results for ce: accuracy 0.9662921348314607
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 0.976471 | 0.75 |
119
+ | Recall | 0.988095 | 0.6 |
120
+ | F1 | 0.982249 | 0.666667 |
121
+
122
+
123
+ Results for se: accuracy 0.9672131147540983
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 0.98 | 0.909091 |
127
+ | Recall | 0.98 | 0.909091 |
128
+ | F1 | 0.98 | 0.909091 |
129
+
130
+
131
+ Results for je: accuracy 0.9821428571428571
132
+ | | Segment Content | Segment Boundary |
133
+ |-----------+-------------------+--------------------|
134
+ | Precision | 0.978261 | 1 |
135
+ | Recall | 1 | 0.909091 |
136
+ | F1 | 0.989011 | 0.952381 |
137
+
138
+
139
+ Results for quant: accuracy 0.9574468085106383
140
+ | | Segment Content | Segment Boundary |
141
+ |-----------+-------------------+--------------------|
142
+ | Precision | 1 | 0.75 |
143
+ | Recall | 0.95122 | 1 |
144
+ | F1 | 0.975 | 0.857143 |
145
+
146
+
147
+ Results for e: 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 fait: accuracy 0.9130434782608695
156
+ | | Segment Content | Segment Boundary |
157
+ |-----------+-------------------+--------------------|
158
+ | Precision | 0.933333 | 0.875 |
159
+ | Recall | 0.933333 | 0.875 |
160
+ | F1 | 0.933333 | 0.875 |
161
+
162
+
163
+ Results for con: accuracy 0.9767441860465116
164
+ | | Segment Content | Segment Boundary |
165
+ |-----------+-------------------+--------------------|
166
+ | Precision | 1 | 0.833333 |
167
+ | Recall | 0.973684 | 1 |
168
+ | F1 | 0.986667 | 0.909091 |
169
+
170
+
171
+ Results for par: accuracy 0.9782608695652174
172
+ | | Segment Content | Segment Boundary |
173
+ |-----------+-------------------+--------------------|
174
+ | Precision | 1 | 0.8 |
175
+ | Recall | 0.97619 | 1 |
176
+ | F1 | 0.987952 | 0.888889 |
177
+
178
+
179
+ Results for c: 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 ou: accuracy 0.9090909090909091
188
+ | | Segment Content | Segment Boundary |
189
+ |-----------+-------------------+--------------------|
190
+ | Precision | 0.933333 | 0.857143 |
191
+ | Recall | 0.933333 | 0.857143 |
192
+ | F1 | 0.933333 | 0.857143 |
193
+
194
+
195
+ Results for tant: 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 on: 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 dis: accuracy 0.9629629629629629
212
+ | | Segment Content | Segment Boundary |
213
+ |-----------+-------------------+--------------------|
214
+ | Precision | 0.956522 | 1 |
215
+ | Recall | 1 | 0.8 |
216
+ | F1 | 0.977778 | 0.888889 |
217
+
218
+
219
+ Results for por: accuracy 0.9545454545454546
220
+ | | Segment Content | Segment Boundary |
221
+ |-----------+-------------------+--------------------|
222
+ | Precision | 0.941176 | 1 |
223
+ | Recall | 1 | 0.833333 |
224
+ | F1 | 0.969697 | 0.909091 |
225
+
226
+
227
+ Results for comme: 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 or: 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 aus: 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 comment: accuracy 0.8333333333333334
252
+ | | Segment Content | Segment Boundary |
253
+ |-----------+-------------------+--------------------|
254
+ | Precision | 0.75 | 0.875 |
255
+ | Recall | 0.75 | 0.875 |
256
+ | F1 | 0.75 | 0.875 |
257
+
258
+
259
+ Results for com: accuracy 0.9375
260
+ | | Segment Content | Segment Boundary |
261
+ |-----------+-------------------+--------------------|
262
+ | Precision | 1 | 0.666667 |
263
+ | Recall | 0.928571 | 1 |
264
+ | F1 | 0.962963 | 0.8 |
265
+
266
+
267
+ Results for fet: 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 quel: accuracy 0.8571428571428571
276
+ | | Segment Content | Segment Boundary |
277
+ |-----------+-------------------+--------------------|
278
+ | Precision | 1 | 0.666667 |
279
+ | Recall | 0.8 | 1 |
280
+ | F1 | 0.888889 | 0.8 |
281
+
282
+
283
+ Results for come: accuracy 0.8571428571428571
284
+ | | Segment Content | Segment Boundary |
285
+ |-----------+-------------------+--------------------|
286
+ | Precision | 0.75 | 1 |
287
+ | Recall | 1 | 0.75 |
288
+ | F1 | 0.857143 | 0.857143 |
289
+
290
+
291
+ Results for Je: accuracy 1.0
292
+ | | Segment Content | Segment Boundary |
293
+ |-----------+-------------------+--------------------|
294
+ | Precision | 1 | 1 |
295
+ | Recall | 1 | 1 |
296
+ | F1 | 1 | 1 |
297
+
298
+
results/in-domain/resultats_ambiguite_it.txt ADDED
@@ -0,0 +1,218 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.91084210044924.
2
+
3
+ Results for e: accuracy 0.8286713286713286
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.805085 | 0.845238 |
7
+ | Recall | 0.785124 | 0.860606 |
8
+ | F1 | 0.794979 | 0.852853 |
9
+
10
+
11
+ Results for si: accuracy 0.890625
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 0.847222 | 0.946429 |
15
+ | Recall | 0.953125 | 0.828125 |
16
+ | F1 | 0.897059 | 0.883333 |
17
+
18
+
19
+ Results for che: accuracy 0.8909090909090909
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 0.767442 | 0.934426 |
23
+ | Recall | 0.804878 | 0.919355 |
24
+ | F1 | 0.785714 | 0.926829 |
25
+
26
+
27
+ Results for per: accuracy 0.8674698795180723
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.910714 | 0.777778 |
31
+ | Recall | 0.894737 | 0.807692 |
32
+ | F1 | 0.902655 | 0.792453 |
33
+
34
+
35
+ Results for di: accuracy 0.9801324503311258
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.993056 | 0.714286 |
39
+ | Recall | 0.986207 | 0.833333 |
40
+ | F1 | 0.989619 | 0.769231 |
41
+
42
+
43
+ Results for ch: accuracy 0.9078947368421053
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 0.857143 | 0.919355 |
47
+ | Recall | 0.705882 | 0.966102 |
48
+ | F1 | 0.774194 | 0.942149 |
49
+
50
+
51
+ Results for a: accuracy 0.945054945054945
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 1 | 0.444444 |
55
+ | Recall | 0.942529 | 1 |
56
+ | F1 | 0.970414 | 0.615385 |
57
+
58
+
59
+ Results for il: accuracy 0.9459459459459459
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 0.983871 | 0.75 |
63
+ | Recall | 0.953125 | 0.9 |
64
+ | F1 | 0.968254 | 0.818182 |
65
+
66
+
67
+ Results for se: accuracy 0.76
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 0.733333 | 0.8 |
71
+ | Recall | 0.846154 | 0.666667 |
72
+ | F1 | 0.785714 | 0.727273 |
73
+
74
+
75
+ Results for in: accuracy 0.9871794871794872
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 1 | 0.75 |
79
+ | Recall | 0.986667 | 1 |
80
+ | F1 | 0.993289 | 0.857143 |
81
+
82
+
83
+ Results for la: accuracy 0.9444444444444444
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 0.955882 | 0.75 |
87
+ | Recall | 0.984848 | 0.5 |
88
+ | F1 | 0.970149 | 0.6 |
89
+
90
+
91
+ Results for l: accuracy 0.9846153846153847
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 1 | 0.666667 |
95
+ | Recall | 0.984127 | 1 |
96
+ | F1 | 0.992 | 0.8 |
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 s: accuracy 0.8148148148148148
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 0.85 | 0.714286 |
111
+ | Recall | 0.894737 | 0.625 |
112
+ | F1 | 0.871795 | 0.666667 |
113
+
114
+
115
+ Results for come: accuracy 0.9411764705882353
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 1 | 0.833333 |
119
+ | Recall | 0.916667 | 1 |
120
+ | F1 | 0.956522 | 0.909091 |
121
+
122
+
123
+ Results for i: accuracy 0.9411764705882353
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 1 | 0.5 |
127
+ | Recall | 0.9375 | 1 |
128
+ | F1 | 0.967742 | 0.666667 |
129
+
130
+
131
+ Results for pos: 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 sì: 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 quand: 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 et: 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 nella: 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 vol: accuracy 0.9444444444444444
172
+ | | Segment Content | Segment Boundary |
173
+ |-----------+-------------------+--------------------|
174
+ | Precision | 1 | 0.666667 |
175
+ | Recall | 0.9375 | 1 |
176
+ | F1 | 0.967742 | 0.8 |
177
+
178
+
179
+ Results for è: accuracy 0.8333333333333334
180
+ | | Segment Content | Segment Boundary |
181
+ |-----------+-------------------+--------------------|
182
+ | Precision | 0.866667 | 0.666667 |
183
+ | Recall | 0.928571 | 0.5 |
184
+ | F1 | 0.896552 | 0.571429 |
185
+
186
+
187
+ Results for quando: accuracy 0.8666666666666667
188
+ | | Segment Content | Segment Boundary |
189
+ |-----------+-------------------+--------------------|
190
+ | Precision | 0.833333 | 1 |
191
+ | Recall | 1 | 0.6 |
192
+ | F1 | 0.909091 | 0.75 |
193
+
194
+
195
+ Results for ins: 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 Per: accuracy 0.5
204
+ | | Segment Content | Segment Boundary |
205
+ |-----------+-------------------+--------------------|
206
+ | Precision | 0 | 1 |
207
+ | Recall | 0 | 0.5 |
208
+ | F1 | 0 | 0.666667 |
209
+
210
+
211
+ Results for o: accuracy 0.8181818181818182
212
+ | | Segment Content | Segment Boundary |
213
+ |-----------+-------------------+--------------------|
214
+ | Precision | 0.875 | 0.666667 |
215
+ | Recall | 0.875 | 0.666667 |
216
+ | F1 | 0.875 | 0.666667 |
217
+
218
+
results/in-domain/resultats_ambiguite_la.txt ADDED
@@ -0,0 +1,546 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.9241947457666735.
2
+
3
+ Results for et: accuracy 0.8353293413173652
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.762712 | 0.917197 |
7
+ | Recall | 0.912162 | 0.774194 |
8
+ | F1 | 0.830769 | 0.83965 |
9
+
10
+
11
+ Results for qui: accuracy 0.9222222222222223
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 0.902439 | 0.938776 |
15
+ | Recall | 0.925 | 0.92 |
16
+ | F1 | 0.91358 | 0.929293 |
17
+
18
+
19
+ Results for ut: accuracy 0.891566265060241
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 0.842105 | 0.933333 |
23
+ | Recall | 0.914286 | 0.875 |
24
+ | F1 | 0.876712 | 0.903226 |
25
+
26
+
27
+ Results for in: accuracy 0.912621359223301
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.923567 | 0.877551 |
31
+ | Recall | 0.960265 | 0.781818 |
32
+ | F1 | 0.941558 | 0.826923 |
33
+
34
+
35
+ Results for sic: accuracy 0.9375
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.866667 | 1 |
39
+ | Recall | 1 | 0.894737 |
40
+ | F1 | 0.928571 | 0.944444 |
41
+
42
+
43
+ Results for ne: accuracy 0.8518518518518519
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 0.785714 | 0.923077 |
47
+ | Recall | 0.916667 | 0.8 |
48
+ | F1 | 0.846154 | 0.857143 |
49
+
50
+
51
+ Results for vel: accuracy 0.6296296296296297
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 0.461538 | 0.785714 |
55
+ | Recall | 0.666667 | 0.611111 |
56
+ | F1 | 0.545455 | 0.6875 |
57
+
58
+
59
+ Results for quod: accuracy 0.9324324324324325
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 0.884615 | 0.958333 |
63
+ | Recall | 0.92 | 0.938776 |
64
+ | F1 | 0.901961 | 0.948454 |
65
+
66
+
67
+ Results for quo: accuracy 0.9117647058823529
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 0.947368 | 0.866667 |
71
+ | Recall | 0.9 | 0.928571 |
72
+ | F1 | 0.923077 | 0.896552 |
73
+
74
+
75
+ Results for de: accuracy 0.926829268292683
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 0.941748 | 0.85 |
79
+ | Recall | 0.97 | 0.73913 |
80
+ | F1 | 0.955665 | 0.790698 |
81
+
82
+
83
+ Results for cum: accuracy 0.8695652173913043
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 0.818182 | 0.916667 |
87
+ | Recall | 0.9 | 0.846154 |
88
+ | F1 | 0.857143 | 0.88 |
89
+
90
+
91
+ Results for ad: accuracy 0.875
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 0.927536 | 0.684211 |
95
+ | Recall | 0.914286 | 0.722222 |
96
+ | F1 | 0.920863 | 0.702703 |
97
+
98
+
99
+ Results for Et: accuracy 0.9523809523809523
100
+ | | Segment Content | Segment Boundary |
101
+ |-----------+-------------------+--------------------|
102
+ | Precision | 0.9 | 1 |
103
+ | Recall | 1 | 0.916667 |
104
+ | F1 | 0.947368 | 0.956522 |
105
+
106
+
107
+ Results for quam: accuracy 0.9393939393939394
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 0.846154 | 1 |
111
+ | Recall | 1 | 0.909091 |
112
+ | F1 | 0.916667 | 0.952381 |
113
+
114
+
115
+ Results for non: accuracy 0.972972972972973
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 0.983333 | 0.928571 |
119
+ | Recall | 0.983333 | 0.928571 |
120
+ | F1 | 0.983333 | 0.928571 |
121
+
122
+
123
+ Results for si: accuracy 0.8775510204081632
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 0.885714 | 0.857143 |
127
+ | Recall | 0.939394 | 0.75 |
128
+ | F1 | 0.911765 | 0.8 |
129
+
130
+
131
+ Results for quae: accuracy 0.8148148148148148
132
+ | | Segment Content | Segment Boundary |
133
+ |-----------+-------------------+--------------------|
134
+ | Precision | 0.818182 | 0.8125 |
135
+ | Recall | 0.75 | 0.866667 |
136
+ | F1 | 0.782609 | 0.83871 |
137
+
138
+
139
+ Results for per: accuracy 0.9154929577464789
140
+ | | Segment Content | Segment Boundary |
141
+ |-----------+-------------------+--------------------|
142
+ | Precision | 0.932203 | 0.833333 |
143
+ | Recall | 0.964912 | 0.714286 |
144
+ | F1 | 0.948276 | 0.769231 |
145
+
146
+
147
+ Results for ex: accuracy 0.9583333333333334
148
+ | | Segment Content | Segment Boundary |
149
+ |-----------+-------------------+--------------------|
150
+ | Precision | 0.967742 | 0.9 |
151
+ | Recall | 0.983607 | 0.818182 |
152
+ | F1 | 0.97561 | 0.857143 |
153
+
154
+
155
+ Results for est: accuracy 0.9625
156
+ | | Segment Content | Segment Boundary |
157
+ |-----------+-------------------+--------------------|
158
+ | Precision | 0.973333 | 0.8 |
159
+ | Recall | 0.986486 | 0.666667 |
160
+ | F1 | 0.979866 | 0.727273 |
161
+
162
+
163
+ Results for con: accuracy 0.9032258064516129
164
+ | | Segment Content | Segment Boundary |
165
+ |-----------+-------------------+--------------------|
166
+ | Precision | 0.980769 | 0.5 |
167
+ | Recall | 0.910714 | 0.833333 |
168
+ | F1 | 0.944444 | 0.625 |
169
+
170
+
171
+ Results for (: accuracy 0.7368421052631579
172
+ | | Segment Content | Segment Boundary |
173
+ |-----------+-------------------+--------------------|
174
+ | Precision | 0.818182 | 0.625 |
175
+ | Recall | 0.75 | 0.714286 |
176
+ | F1 | 0.782609 | 0.666667 |
177
+
178
+
179
+ Results for ali: accuracy 0.9682539682539683
180
+ | | Segment Content | Segment Boundary |
181
+ |-----------+-------------------+--------------------|
182
+ | Precision | 0.982759 | 0.8 |
183
+ | Recall | 0.982759 | 0.8 |
184
+ | F1 | 0.982759 | 0.8 |
185
+
186
+
187
+ Results for qua: accuracy 0.9354838709677419
188
+ | | Segment Content | Segment Boundary |
189
+ |-----------+-------------------+--------------------|
190
+ | Precision | 0.956522 | 0.875 |
191
+ | Recall | 0.956522 | 0.875 |
192
+ | F1 | 0.956522 | 0.875 |
193
+
194
+
195
+ Results for di: accuracy 0.9555555555555556
196
+ | | Segment Content | Segment Boundary |
197
+ |-----------+-------------------+--------------------|
198
+ | Precision | 1 | 0.5 |
199
+ | Recall | 0.953488 | 1 |
200
+ | F1 | 0.97619 | 0.666667 |
201
+
202
+
203
+ Results for aut: accuracy 0.8
204
+ | | Segment Content | Segment Boundary |
205
+ |-----------+-------------------+--------------------|
206
+ | Precision | 1 | 0.6 |
207
+ | Recall | 0.714286 | 1 |
208
+ | F1 | 0.833333 | 0.75 |
209
+
210
+
211
+ Results for sunt: accuracy 0.9767441860465116
212
+ | | Segment Content | Segment Boundary |
213
+ |-----------+-------------------+--------------------|
214
+ | Precision | 0.974359 | 1 |
215
+ | Recall | 1 | 0.8 |
216
+ | F1 | 0.987013 | 0.888889 |
217
+
218
+
219
+ Results for esse: accuracy 0.9142857142857143
220
+ | | Segment Content | Segment Boundary |
221
+ |-----------+-------------------+--------------------|
222
+ | Precision | 0.965517 | 0.666667 |
223
+ | Recall | 0.933333 | 0.8 |
224
+ | F1 | 0.949153 | 0.727273 |
225
+
226
+
227
+ Results for quem: accuracy 0.9285714285714286
228
+ | | Segment Content | Segment Boundary |
229
+ |-----------+-------------------+--------------------|
230
+ | Precision | 1 | 0.875 |
231
+ | Recall | 0.857143 | 1 |
232
+ | F1 | 0.923077 | 0.933333 |
233
+
234
+
235
+ Results for secundum: accuracy 0.8695652173913043
236
+ | | Segment Content | Segment Boundary |
237
+ |-----------+-------------------+--------------------|
238
+ | Precision | 0.8125 | 1 |
239
+ | Recall | 1 | 0.7 |
240
+ | F1 | 0.896552 | 0.823529 |
241
+
242
+
243
+ Results for pra: accuracy 0.8918918918918919
244
+ | | Segment Content | Segment Boundary |
245
+ |-----------+-------------------+--------------------|
246
+ | Precision | 0.9375 | 0.6 |
247
+ | Recall | 0.9375 | 0.6 |
248
+ | F1 | 0.9375 | 0.6 |
249
+
250
+
251
+ Results for a: accuracy 0.84375
252
+ | | Segment Content | Segment Boundary |
253
+ |-----------+-------------------+--------------------|
254
+ | Precision | 0.884615 | 0.666667 |
255
+ | Recall | 0.92 | 0.571429 |
256
+ | F1 | 0.901961 | 0.615385 |
257
+
258
+
259
+ Results for debe: accuracy 0.9
260
+ | | Segment Content | Segment Boundary |
261
+ |-----------+-------------------+--------------------|
262
+ | Precision | 1 | 0.5 |
263
+ | Recall | 0.888889 | 1 |
264
+ | F1 | 0.941176 | 0.666667 |
265
+
266
+
267
+ Results for om: 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 se: accuracy 0.9444444444444444
276
+ | | Segment Content | Segment Boundary |
277
+ |-----------+-------------------+--------------------|
278
+ | Precision | 0.969697 | 0.666667 |
279
+ | Recall | 0.969697 | 0.666667 |
280
+ | F1 | 0.969697 | 0.666667 |
281
+
282
+
283
+ Results for quali: accuracy 0.9090909090909091
284
+ | | Segment Content | Segment Boundary |
285
+ |-----------+-------------------+--------------------|
286
+ | Precision | 0.833333 | 1 |
287
+ | Recall | 1 | 0.833333 |
288
+ | F1 | 0.909091 | 0.909091 |
289
+
290
+
291
+ Results for eo: 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 sub: accuracy 0.8571428571428571
300
+ | | Segment Content | Segment Boundary |
301
+ |-----------+-------------------+--------------------|
302
+ | Precision | 1 | 0.6 |
303
+ | Recall | 0.818182 | 1 |
304
+ | F1 | 0.9 | 0.75 |
305
+
306
+
307
+ Results for ni: accuracy 0.8571428571428571
308
+ | | Segment Content | Segment Boundary |
309
+ |-----------+-------------------+--------------------|
310
+ | Precision | 0.777778 | 1 |
311
+ | Recall | 1 | 0.714286 |
312
+ | F1 | 0.875 | 0.833333 |
313
+
314
+
315
+ Results for sua: accuracy 0.875
316
+ | | Segment Content | Segment Boundary |
317
+ |-----------+-------------------+--------------------|
318
+ | Precision | 1 | 0.75 |
319
+ | Recall | 0.8 | 1 |
320
+ | F1 | 0.888889 | 0.857143 |
321
+
322
+
323
+ Results for ab: accuracy 0.8333333333333334
324
+ | | Segment Content | Segment Boundary |
325
+ |-----------+-------------------+--------------------|
326
+ | Precision | 0.809524 | 1 |
327
+ | Recall | 1 | 0.428571 |
328
+ | F1 | 0.894737 | 0.6 |
329
+
330
+
331
+ Results for inter: accuracy 0.8947368421052632
332
+ | | Segment Content | Segment Boundary |
333
+ |-----------+-------------------+--------------------|
334
+ | Precision | 0.866667 | 1 |
335
+ | Recall | 1 | 0.666667 |
336
+ | F1 | 0.928571 | 0.8 |
337
+
338
+
339
+ Results for tam: accuracy 0.9545454545454546
340
+ | | Segment Content | Segment Boundary |
341
+ |-----------+-------------------+--------------------|
342
+ | Precision | 0.947368 | 1 |
343
+ | Recall | 1 | 0.75 |
344
+ | F1 | 0.972973 | 0.857143 |
345
+
346
+
347
+ Results for red: accuracy 0.9411764705882353
348
+ | | Segment Content | Segment Boundary |
349
+ |-----------+-------------------+--------------------|
350
+ | Precision | 1 | 0.75 |
351
+ | Recall | 0.928571 | 1 |
352
+ | F1 | 0.962963 | 0.857143 |
353
+
354
+
355
+ Results for e: accuracy 0.9047619047619048
356
+ | | Segment Content | Segment Boundary |
357
+ |-----------+-------------------+--------------------|
358
+ | Precision | 0.888889 | 1 |
359
+ | Recall | 1 | 0.6 |
360
+ | F1 | 0.941176 | 0.75 |
361
+
362
+
363
+ Results for it: accuracy 1.0
364
+ | | Segment Content | Segment Boundary |
365
+ |-----------+-------------------+--------------------|
366
+ | Precision | 1 | 1 |
367
+ | Recall | 1 | 1 |
368
+ | F1 | 1 | 1 |
369
+
370
+
371
+ Results for maxime: accuracy 0.9333333333333333
372
+ | | Segment Content | Segment Boundary |
373
+ |-----------+-------------------+--------------------|
374
+ | Precision | 0.909091 | 1 |
375
+ | Recall | 1 | 0.8 |
376
+ | F1 | 0.952381 | 0.888889 |
377
+
378
+
379
+ Results for post: accuracy 0.9230769230769231
380
+ | | Segment Content | Segment Boundary |
381
+ |-----------+-------------------+--------------------|
382
+ | Precision | 1 | 0.75 |
383
+ | Recall | 0.9 | 1 |
384
+ | F1 | 0.947368 | 0.857143 |
385
+
386
+
387
+ Results for sci: 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 ide: accuracy 0.9166666666666666
396
+ | | Segment Content | Segment Boundary |
397
+ |-----------+-------------------+--------------------|
398
+ | Precision | 1 | 0.875 |
399
+ | Recall | 0.8 | 1 |
400
+ | F1 | 0.888889 | 0.933333 |
401
+
402
+
403
+ Results for que: accuracy 0.9444444444444444
404
+ | | Segment Content | Segment Boundary |
405
+ |-----------+-------------------+--------------------|
406
+ | Precision | 1 | 0.933333 |
407
+ | Recall | 0.75 | 1 |
408
+ | F1 | 0.857143 | 0.965517 |
409
+
410
+
411
+ Results for vide: 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 pos: accuracy 0.9333333333333333
420
+ | | Segment Content | Segment Boundary |
421
+ |-----------+-------------------+--------------------|
422
+ | Precision | 1 | 0.666667 |
423
+ | Recall | 0.923077 | 1 |
424
+ | F1 | 0.96 | 0.8 |
425
+
426
+
427
+ Results for im: 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 ter: accuracy 1.0
436
+ | | Segment Content | Segment Boundary |
437
+ |-----------+-------------------+--------------------|
438
+ | Precision | 1 | 1 |
439
+ | Recall | 1 | 1 |
440
+ | F1 | 1 | 1 |
441
+
442
+
443
+ Results for o: 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 super: 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 Im: accuracy 1.0
460
+ | | Segment Content | Segment Boundary |
461
+ |-----------+-------------------+--------------------|
462
+ | Precision | 1 | 1 |
463
+ | Recall | 1 | 1 |
464
+ | F1 | 1 | 1 |
465
+
466
+
467
+ Results for prop: accuracy 1.0
468
+ | | Segment Content | Segment Boundary |
469
+ |-----------+-------------------+--------------------|
470
+ | Precision | 1 | 1 |
471
+ | Recall | 1 | 1 |
472
+ | F1 | 1 | 1 |
473
+
474
+
475
+ Results for domi: accuracy 0.9090909090909091
476
+ | | Segment Content | Segment Boundary |
477
+ |-----------+-------------------+--------------------|
478
+ | Precision | 1 | 0.666667 |
479
+ | Recall | 0.888889 | 1 |
480
+ | F1 | 0.941176 | 0.8 |
481
+
482
+
483
+ Results for sec: accuracy 1.0
484
+ | | Segment Content | Segment Boundary |
485
+ |-----------+-------------------+--------------------|
486
+ | Precision | 1 | 1 |
487
+ | Recall | 1 | 1 |
488
+ | F1 | 1 | 1 |
489
+
490
+
491
+ Results for causa: accuracy 0.8
492
+ | | Segment Content | Segment Boundary |
493
+ |-----------+-------------------+--------------------|
494
+ | Precision | 0.857143 | 0.666667 |
495
+ | Recall | 0.857143 | 0.666667 |
496
+ | F1 | 0.857143 | 0.666667 |
497
+
498
+
499
+ Results for id: accuracy 1.0
500
+ | | Segment Content | Segment Boundary |
501
+ |-----------+-------------------+--------------------|
502
+ | Precision | 1 | 1 |
503
+ | Recall | 1 | 1 |
504
+ | F1 | 1 | 1 |
505
+
506
+
507
+ Results for ecc: accuracy 1.0
508
+ | | Segment Content | Segment Boundary |
509
+ |-----------+-------------------+--------------------|
510
+ | Precision | 1 | 1 |
511
+ | Recall | 1 | 1 |
512
+ | F1 | 1 | 1 |
513
+
514
+
515
+ Results for li: accuracy 1.0
516
+ | | Segment Content | Segment Boundary |
517
+ |-----------+-------------------+--------------------|
518
+ | Precision | 1 | 1 |
519
+ | Recall | 1 | 1 |
520
+ | F1 | 1 | 1 |
521
+
522
+
523
+ Results for I: accuracy 1.0
524
+ | | Segment Content | Segment Boundary |
525
+ |-----------+-------------------+--------------------|
526
+ | Precision | 1 | 1 |
527
+ | Recall | 1 | 1 |
528
+ | F1 | 1 | 1 |
529
+
530
+
531
+ Results for ratio: accuracy 1.0
532
+ | | Segment Content | Segment Boundary |
533
+ |-----------+-------------------+--------------------|
534
+ | Precision | 1 | 1 |
535
+ | Recall | 1 | 1 |
536
+ | F1 | 1 | 1 |
537
+
538
+
539
+ Results for De: accuracy 1.0
540
+ | | Segment Content | Segment Boundary |
541
+ |-----------+-------------------+--------------------|
542
+ | Precision | 1 | 1 |
543
+ | Recall | 1 | 1 |
544
+ | F1 | 1 | 1 |
545
+
546
+
results/in-domain/resultats_ambiguite_pt.txt ADDED
@@ -0,0 +1,338 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.9400411241391057.
2
+
3
+ Results for que: accuracy 0.892
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.91453 | 0.87218 |
7
+ | Recall | 0.862903 | 0.920635 |
8
+ | F1 | 0.887967 | 0.895753 |
9
+
10
+
11
+ Results for e: accuracy 0.8773584905660378
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 0.793103 | 0.925743 |
15
+ | Recall | 0.859813 | 0.886256 |
16
+ | F1 | 0.825112 | 0.905569 |
17
+
18
+
19
+ Results for q: accuracy 0.873015873015873
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 0.878788 | 0.866667 |
23
+ | Recall | 0.878788 | 0.866667 |
24
+ | F1 | 0.878788 | 0.866667 |
25
+
26
+
27
+ Results for a: accuracy 0.9156626506024096
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.958042 | 0.652174 |
31
+ | Recall | 0.944828 | 0.714286 |
32
+ | F1 | 0.951389 | 0.681818 |
33
+
34
+
35
+ Results for de: accuracy 0.9538461538461539
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.983607 | 0.5 |
39
+ | Recall | 0.967742 | 0.666667 |
40
+ | F1 | 0.97561 | 0.571429 |
41
+
42
+
43
+ Results for por: accuracy 0.9305555555555556
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 0.9375 | 0.916667 |
47
+ | Recall | 0.957447 | 0.88 |
48
+ | F1 | 0.947368 | 0.897959 |
49
+
50
+
51
+ Results for o: accuracy 0.951048951048951
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 0.992424 | 0.454545 |
55
+ | Recall | 0.956204 | 0.833333 |
56
+ | F1 | 0.973978 | 0.588235 |
57
+
58
+
59
+ Results for E: accuracy 0.9929078014184397
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 1 | 0.992754 |
63
+ | Recall | 0.75 | 1 |
64
+ | F1 | 0.857143 | 0.996364 |
65
+
66
+
67
+ Results for em: accuracy 0.8854166666666666
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 0.95 | 0.5625 |
71
+ | Recall | 0.915663 | 0.692308 |
72
+ | F1 | 0.932515 | 0.62069 |
73
+
74
+
75
+ Results for per: accuracy 0.95
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 0.933333 | 1 |
79
+ | Recall | 1 | 0.833333 |
80
+ | F1 | 0.965517 | 0.909091 |
81
+
82
+
83
+ Results for ca: 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 se: accuracy 0.967741935483871
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 1 | 0.8 |
95
+ | Recall | 0.962963 | 1 |
96
+ | F1 | 0.981132 | 0.888889 |
97
+
98
+
99
+ Results for com: accuracy 0.9344262295081968
100
+ | | Segment Content | Segment Boundary |
101
+ |-----------+-------------------+--------------------|
102
+ | Precision | 0.960784 | 0.8 |
103
+ | Recall | 0.960784 | 0.8 |
104
+ | F1 | 0.960784 | 0.8 |
105
+
106
+
107
+ Results for como: accuracy 0.9142857142857143
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 0.916667 | 0.909091 |
111
+ | Recall | 0.956522 | 0.833333 |
112
+ | F1 | 0.93617 | 0.869565 |
113
+
114
+
115
+ Results for n: accuracy 0.9069767441860465
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 1 | 0.636364 |
119
+ | Recall | 0.888889 | 1 |
120
+ | F1 | 0.941176 | 0.777778 |
121
+
122
+
123
+ Results for f: accuracy 0.9032258064516129
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 1 | 0.7 |
127
+ | Recall | 0.875 | 1 |
128
+ | F1 | 0.933333 | 0.823529 |
129
+
130
+
131
+ Results for os: 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 ou: accuracy 0.8947368421052632
140
+ | | Segment Content | Segment Boundary |
141
+ |-----------+-------------------+--------------------|
142
+ | Precision | 0.896552 | 0.888889 |
143
+ | Recall | 0.962963 | 0.727273 |
144
+ | F1 | 0.928571 | 0.8 |
145
+
146
+
147
+ Results for disse: accuracy 0.9545454545454546
148
+ | | Segment Content | Segment Boundary |
149
+ |-----------+-------------------+--------------------|
150
+ | Precision | 1 | 0.875 |
151
+ | Recall | 0.933333 | 1 |
152
+ | F1 | 0.965517 | 0.933333 |
153
+
154
+
155
+ Results for nem: 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 do: accuracy 0.9387755102040817
164
+ | | Segment Content | Segment Boundary |
165
+ |-----------+-------------------+--------------------|
166
+ | Precision | 1 | 0.25 |
167
+ | Recall | 0.9375 | 1 |
168
+ | F1 | 0.967742 | 0.4 |
169
+
170
+
171
+ Results for as: 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 c: accuracy 0.8947368421052632
180
+ | | Segment Content | Segment Boundary |
181
+ |-----------+-------------------+--------------------|
182
+ | Precision | 0.96875 | 0.5 |
183
+ | Recall | 0.911765 | 0.75 |
184
+ | F1 | 0.939394 | 0.6 |
185
+
186
+
187
+ Results for ẽ: accuracy 0.8823529411764706
188
+ | | Segment Content | Segment Boundary |
189
+ |-----------+-------------------+--------------------|
190
+ | Precision | 0.965517 | 0.4 |
191
+ | Recall | 0.903226 | 0.666667 |
192
+ | F1 | 0.933333 | 0.5 |
193
+
194
+
195
+ Results for dos: accuracy 0.9393939393939394
196
+ | | Segment Content | Segment Boundary |
197
+ |-----------+-------------------+--------------------|
198
+ | Precision | 0.964286 | 0.8 |
199
+ | Recall | 0.964286 | 0.8 |
200
+ | F1 | 0.964286 | 0.8 |
201
+
202
+
203
+ Results for hu: accuracy 0.875
204
+ | | Segment Content | Segment Boundary |
205
+ |-----------+-------------------+--------------------|
206
+ | Precision | 1 | 0.666667 |
207
+ | Recall | 0.833333 | 1 |
208
+ | F1 | 0.909091 | 0.8 |
209
+
210
+
211
+ Results for ass: accuracy 0.9259259259259259
212
+ | | Segment Content | Segment Boundary |
213
+ |-----------+-------------------+--------------------|
214
+ | Precision | 1 | 0.6 |
215
+ | Recall | 0.916667 | 1 |
216
+ | F1 | 0.956522 | 0.75 |
217
+
218
+
219
+ Results for nom: accuracy 0.967741935483871
220
+ | | Segment Content | Segment Boundary |
221
+ |-----------+-------------------+--------------------|
222
+ | Precision | 0.964286 | 1 |
223
+ | Recall | 1 | 0.75 |
224
+ | F1 | 0.981818 | 0.857143 |
225
+
226
+
227
+ Results for he: accuracy 0.9666666666666667
228
+ | | Segment Content | Segment Boundary |
229
+ |-----------+-------------------+--------------------|
230
+ | Precision | 1 | 0.666667 |
231
+ | Recall | 0.964286 | 1 |
232
+ | F1 | 0.981818 | 0.8 |
233
+
234
+
235
+ Results for quando: 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 todos: accuracy 0.875
244
+ | | Segment Content | Segment Boundary |
245
+ |-----------+-------------------+--------------------|
246
+ | Precision | 1 | 0.6 |
247
+ | Recall | 0.846154 | 1 |
248
+ | F1 | 0.916667 | 0.75 |
249
+
250
+
251
+ Results for mais: accuracy 0.9166666666666666
252
+ | | Segment Content | Segment Boundary |
253
+ |-----------+-------------------+--------------------|
254
+ | Precision | 0.95 | 0.75 |
255
+ | Recall | 0.95 | 0.75 |
256
+ | F1 | 0.95 | 0.75 |
257
+
258
+
259
+ Results for ata: 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 na: accuracy 0.9130434782608695
268
+ | | Segment Content | Segment Boundary |
269
+ |-----------+-------------------+--------------------|
270
+ | Precision | 1 | 0.333333 |
271
+ | Recall | 0.909091 | 1 |
272
+ | F1 | 0.952381 | 0.5 |
273
+
274
+
275
+ Results for tra: accuracy 0.9545454545454546
276
+ | | Segment Content | Segment Boundary |
277
+ |-----------+-------------------+--------------------|
278
+ | Precision | 1 | 0.666667 |
279
+ | Recall | 0.95 | 1 |
280
+ | F1 | 0.974359 | 0.8 |
281
+
282
+
283
+ Results for en: accuracy 0.9166666666666666
284
+ | | Segment Content | Segment Boundary |
285
+ |-----------+-------------------+--------------------|
286
+ | Precision | 0.875 | 1 |
287
+ | Recall | 1 | 0.8 |
288
+ | F1 | 0.933333 | 0.888889 |
289
+
290
+
291
+ Results for diz: 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 ve: accuracy 0.9285714285714286
300
+ | | Segment Content | Segment Boundary |
301
+ |-----------+-------------------+--------------------|
302
+ | Precision | 0.909091 | 1 |
303
+ | Recall | 1 | 0.75 |
304
+ | F1 | 0.952381 | 0.857143 |
305
+
306
+
307
+ Results for chama: 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 sem: 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 seg: accuracy 0.8888888888888888
324
+ | | Segment Content | Segment Boundary |
325
+ |-----------+-------------------+--------------------|
326
+ | Precision | 1 | 0.666667 |
327
+ | Recall | 0.857143 | 1 |
328
+ | F1 | 0.923077 | 0.8 |
329
+
330
+
331
+ Results for cada: accuracy 1.0
332
+ | | Segment Content | Segment Boundary |
333
+ |-----------+-------------------+--------------------|
334
+ | Precision | 1 | 1 |
335
+ | Recall | 1 | 1 |
336
+ | F1 | 1 | 1 |
337
+
338
+
results/in-domain/results.txt ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ Best model on test data
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.978918 | 0.872912 |
5
+ | Recall | 0.977048 | 0.882245 |
6
+ | F1 | 0.977982 | 0.877554 |
results/out-of-domain/HTR/best_model.ca.txt ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Best model on test data for ca:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.949051 | 0.820513 |
5
+ | Recall | 0.97137 | 0.715084 |
6
+ | F1 | 0.960081 | 0.764179 |
7
+ Best model on test data for ca:
8
+ | | Segment Content | Segment Boundary |
9
+ |-----------+-------------------+--------------------|
10
+ | Precision | 0.949051 | 0.820513 |
11
+ | Recall | 0.97137 | 0.715084 |
12
+ | F1 | 0.960081 | 0.764179 |
results/out-of-domain/HTR/best_model.es.txt ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Best model on test data for es:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.957194 | 0.850649 |
5
+ | Recall | 0.972222 | 0.784431 |
6
+ | F1 | 0.964649 | 0.816199 |
7
+ Best model on test data for es:
8
+ | | Segment Content | Segment Boundary |
9
+ |-----------+-------------------+--------------------|
10
+ | Precision | 0.957194 | 0.850649 |
11
+ | Recall | 0.972222 | 0.784431 |
12
+ | F1 | 0.964649 | 0.816199 |
results/out-of-domain/HTR/best_model.fr.txt ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Best model on test data for fr:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.97582 | 0.924675 |
5
+ | Recall | 0.987331 | 0.864078 |
6
+ | F1 | 0.981542 | 0.89335 |
7
+ Best model on test data for fr:
8
+ | | Segment Content | Segment Boundary |
9
+ |-----------+-------------------+--------------------|
10
+ | Precision | 0.97582 | 0.924675 |
11
+ | Recall | 0.987331 | 0.864078 |
12
+ | F1 | 0.981542 | 0.89335 |
results/out-of-domain/HTR/best_model.la.txt ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Best model on test data for la:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.947686 | 0.84188 |
5
+ | Recall | 0.962206 | 0.791165 |
6
+ | F1 | 0.954891 | 0.815735 |
7
+ Best model on test data for la:
8
+ | | Segment Content | Segment Boundary |
9
+ |-----------+-------------------+--------------------|
10
+ | Precision | 0.947686 | 0.84188 |
11
+ | Recall | 0.962206 | 0.791165 |
12
+ | F1 | 0.954891 | 0.815735 |
results/out-of-domain/HTR/resultats_ambiguite_ca.txt ADDED
@@ -0,0 +1,98 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.8334508099221779.
2
+
3
+ Results for per: accuracy 0.8780487804878049
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.913043 | 0.833333 |
7
+ | Recall | 0.875 | 0.882353 |
8
+ | F1 | 0.893617 | 0.857143 |
9
+
10
+
11
+ Results for que: accuracy 0.8571428571428571
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 1 | 0.727273 |
15
+ | Recall | 0.769231 | 1 |
16
+ | F1 | 0.869565 | 0.842105 |
17
+
18
+
19
+ Results for a: accuracy 0.5
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 1 | 0.0833333 |
23
+ | Recall | 0.47619 | 1 |
24
+ | F1 | 0.645161 | 0.153846 |
25
+
26
+
27
+ Results for e: accuracy 0.7142857142857143
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.730769 | 0.666667 |
31
+ | Recall | 0.863636 | 0.461538 |
32
+ | F1 | 0.791667 | 0.545455 |
33
+
34
+
35
+ Results for segons: accuracy 0.9130434782608695
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.9375 | 0.857143 |
39
+ | Recall | 0.9375 | 0.857143 |
40
+ | F1 | 0.9375 | 0.857143 |
41
+
42
+
43
+ Results for lo: accuracy 0.9722222222222222
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 0.969697 | 1 |
47
+ | Recall | 1 | 0.75 |
48
+ | F1 | 0.984615 | 0.857143 |
49
+
50
+
51
+ Results for en: accuracy 1.0
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 1 | 1 |
55
+ | Recall | 1 | 1 |
56
+ | F1 | 1 | 1 |
57
+
58
+
59
+ Results for les: accuracy 0.9333333333333333
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 1 | 0.8 |
63
+ | Recall | 0.909091 | 1 |
64
+ | F1 | 0.952381 | 0.888889 |
65
+
66
+
67
+ Results for se: accuracy 0.8333333333333334
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 1 | 0 |
71
+ | Recall | 0.833333 | 0 |
72
+ | F1 | 0.909091 | 0 |
73
+
74
+
75
+ Results for la: 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 con: accuracy 0.9
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 0.941176 | 0.666667 |
87
+ | Recall | 0.941176 | 0.666667 |
88
+ | F1 | 0.941176 | 0.666667 |
89
+
90
+
91
+ Results for qui: accuracy 0.5
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 0.333333 | 0.666667 |
95
+ | Recall | 0.5 | 0.5 |
96
+ | F1 | 0.4 | 0.571429 |
97
+
98
+
results/out-of-domain/HTR/resultats_ambiguite_es.txt ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.8982745996222227.
2
+
3
+ Results for q: accuracy 0.8809523809523809
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.833333 | 0.916667 |
7
+ | Recall | 0.882353 | 0.88 |
8
+ | F1 | 0.857143 | 0.897959 |
9
+
10
+
11
+ Results for et: accuracy 0.8870967741935484
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 0.954545 | 0.85 |
15
+ | Recall | 0.777778 | 0.971429 |
16
+ | F1 | 0.857143 | 0.906667 |
17
+
18
+
19
+ Results for en: accuracy 0.75
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 1 | 0.142857 |
23
+ | Recall | 0.73913 | 1 |
24
+ | F1 | 0.85 | 0.25 |
25
+
26
+
27
+ Results for por: accuracy 0.9473684210526315
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 1 | 0.923077 |
31
+ | Recall | 0.857143 | 1 |
32
+ | F1 | 0.923077 | 0.96 |
33
+
34
+
35
+ Results for de: accuracy 0.8636363636363636
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.894737 | 0.666667 |
39
+ | Recall | 0.944444 | 0.5 |
40
+ | F1 | 0.918919 | 0.571429 |
41
+
42
+
43
+ Results for d: accuracy 0.8571428571428571
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 1 | 0.666667 |
47
+ | Recall | 0.8 | 1 |
48
+ | F1 | 0.888889 | 0.8 |
49
+
50
+
51
+ Results for e: accuracy 1.0
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 1 | 1 |
55
+ | Recall | 1 | 1 |
56
+ | F1 | 1 | 1 |
57
+
58
+
59
+ Results for com: accuracy 1.0
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 1 | 1 |
63
+ | Recall | 1 | 1 |
64
+ | F1 | 1 | 1 |
65
+
66
+
results/out-of-domain/HTR/resultats_ambiguite_fr.txt ADDED
@@ -0,0 +1,146 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.8941183155906386.
2
+
3
+ Results for que: accuracy 0.9
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.75 | 0.975 |
7
+ | Recall | 0.9375 | 0.886364 |
8
+ | F1 | 0.833333 | 0.928571 |
9
+
10
+
11
+ Results for et: accuracy 0.9764705882352941
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 1 | 0.96875 |
15
+ | Recall | 0.913043 | 1 |
16
+ | F1 | 0.954545 | 0.984127 |
17
+
18
+
19
+ Results for ou: accuracy 0.7142857142857143
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 0.904762 | 0.428571 |
23
+ | Recall | 0.703704 | 0.75 |
24
+ | F1 | 0.791667 | 0.545455 |
25
+
26
+
27
+ Results for si: accuracy 0.9047619047619048
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 1 | 0.851852 |
31
+ | Recall | 0.789474 | 1 |
32
+ | F1 | 0.882353 | 0.92 |
33
+
34
+
35
+ Results for ne: accuracy 0.9333333333333333
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 1 | 0.2 |
39
+ | Recall | 0.932203 | 1 |
40
+ | F1 | 0.964912 | 0.333333 |
41
+
42
+
43
+ Results for il: accuracy 0.9821428571428571
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 1 | 0.75 |
47
+ | Recall | 0.981132 | 1 |
48
+ | F1 | 0.990476 | 0.857143 |
49
+
50
+
51
+ Results for a: accuracy 0.92
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 1 | 0.333333 |
55
+ | Recall | 0.916667 | 1 |
56
+ | F1 | 0.956522 | 0.5 |
57
+
58
+
59
+ Results for qui: accuracy 0.9318181818181818
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 0.6 | 0.974359 |
63
+ | Recall | 0.75 | 0.95 |
64
+ | F1 | 0.666667 | 0.962025 |
65
+
66
+
67
+ Results for de: accuracy 0.9555555555555556
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 1 | 0.333333 |
71
+ | Recall | 0.954545 | 1 |
72
+ | F1 | 0.976744 | 0.5 |
73
+
74
+
75
+ Results for la: accuracy 0.9767441860465116
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 1 | 0.666667 |
79
+ | Recall | 0.97561 | 1 |
80
+ | F1 | 0.987654 | 0.8 |
81
+
82
+
83
+ Results for par: accuracy 0.92
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 1 | 0.6 |
87
+ | Recall | 0.909091 | 1 |
88
+ | F1 | 0.952381 | 0.75 |
89
+
90
+
91
+ Results for ce: accuracy 0.9230769230769231
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 0.909091 | 1 |
95
+ | Recall | 1 | 0.666667 |
96
+ | F1 | 0.952381 | 0.8 |
97
+
98
+
99
+ Results for fait: accuracy 0.38461538461538464
100
+ | | Segment Content | Segment Boundary |
101
+ |-----------+-------------------+--------------------|
102
+ | Precision | 1 | 0 |
103
+ | Recall | 0.384615 | 0 |
104
+ | F1 | 0.555556 | 0 |
105
+
106
+
107
+ Results for pour: accuracy 0.9285714285714286
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 0.888889 | 1 |
111
+ | Recall | 1 | 0.833333 |
112
+ | F1 | 0.941176 | 0.909091 |
113
+
114
+
115
+ Results for se: accuracy 0.8260869565217391
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 0.8 | 1 |
119
+ | Recall | 1 | 0.428571 |
120
+ | F1 | 0.888889 | 0.6 |
121
+
122
+
123
+ Results for tant: accuracy 0.9166666666666666
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 0.875 | 1 |
127
+ | Recall | 1 | 0.8 |
128
+ | F1 | 0.933333 | 0.888889 |
129
+
130
+
131
+ Results for aussi: 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 comme: accuracy 1.0
140
+ | | Segment Content | Segment Boundary |
141
+ |-----------+-------------------+--------------------|
142
+ | Precision | 1 | 1 |
143
+ | Recall | 1 | 1 |
144
+ | F1 | 1 | 1 |
145
+
146
+
results/out-of-domain/HTR/resultats_ambiguite_la.txt ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.8704703582592096.
2
+
3
+ Results for et: accuracy 0.896551724137931
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.848485 | 0.96 |
7
+ | Recall | 0.965517 | 0.827586 |
8
+ | F1 | 0.903226 | 0.888889 |
9
+
10
+
11
+ Results for quod: 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 ad: accuracy 0.7272727272727273
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 0.785714 | 0.625 |
23
+ | Recall | 0.785714 | 0.625 |
24
+ | F1 | 0.785714 | 0.625 |
25
+
26
+
27
+ Results for u: accuracy 0.9245283018867925
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.959184 | 0.5 |
31
+ | Recall | 0.959184 | 0.5 |
32
+ | F1 | 0.959184 | 0.5 |
33
+
34
+
35
+ Results for non: accuracy 0.782608695652174
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.8125 | 0.714286 |
39
+ | Recall | 0.866667 | 0.625 |
40
+ | F1 | 0.83871 | 0.666667 |
41
+
42
+
43
+ Results for eo: accuracy 0.9090909090909091
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 1 | 0.8 |
47
+ | Recall | 0.857143 | 1 |
48
+ | F1 | 0.923077 | 0.888889 |
49
+
50
+
51
+ Results for in: accuracy 0.9523809523809523
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 1 | 0.8 |
55
+ | Recall | 0.941176 | 1 |
56
+ | F1 | 0.969697 | 0.888889 |
57
+
58
+
59
+ Results for qui: accuracy 0.85
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 0.666667 | 0.882353 |
63
+ | Recall | 0.5 | 0.9375 |
64
+ | F1 | 0.571429 | 0.909091 |
65
+
66
+
67
+ Results for hoc: accuracy 0.8
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 1 | 0.666667 |
71
+ | Recall | 0.666667 | 1 |
72
+ | F1 | 0.8 | 0.8 |
73
+
74
+
75
+ Results for tam: accuracy 0.9
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 1 | 0.833333 |
79
+ | Recall | 0.8 | 1 |
80
+ | F1 | 0.888889 | 0.909091 |
81
+
82
+
83
+ Results for que: accuracy 0.8
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 0.833333 | 0.75 |
87
+ | Recall | 0.833333 | 0.75 |
88
+ | F1 | 0.833333 | 0.75 |
89
+
90
+
91
+ Results for mag: accuracy 0.7
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 0.833333 | 0.5 |
95
+ | Recall | 0.714286 | 0.666667 |
96
+ | F1 | 0.769231 | 0.571429 |
97
+
98
+
99
+ Results for [UNK]: accuracy 0.7272727272727273
100
+ | | Segment Content | Segment Boundary |
101
+ |-----------+-------------------+--------------------|
102
+ | Precision | 1 | 0.25 |
103
+ | Recall | 0.7 | 1 |
104
+ | F1 | 0.823529 | 0.4 |
105
+
106
+
107
+ Results for ut: accuracy 0.7692307692307693
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 0.5 | 0.888889 |
111
+ | Recall | 0.666667 | 0.8 |
112
+ | F1 | 0.571429 | 0.842105 |
113
+
114
+
115
+ Results for ex: accuracy 1.0
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 1 | 1 |
119
+ | Recall | 1 | 1 |
120
+ | F1 | 1 | 1 |
121
+
122
+
123
+ Results for quo: accuracy 1.0
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 1 | 1 |
127
+ | Recall | 1 | 1 |
128
+ | F1 | 1 | 1 |
129
+
130
+
131
+ Results for a: accuracy 0.8
132
+ | | Segment Content | Segment Boundary |
133
+ |-----------+-------------------+--------------------|
134
+ | Precision | 0.857143 | 0.666667 |
135
+ | Recall | 0.857143 | 0.666667 |
136
+ | F1 | 0.857143 | 0.666667 |
137
+
138
+
139
+ Results for si: 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 inter: accuracy 1.0
148
+ | | Segment Content | Segment Boundary |
149
+ |-----------+-------------------+--------------------|
150
+ | Precision | 1 | 1 |
151
+ | Recall | 1 | 1 |
152
+ | F1 | 1 | 1 |
153
+
154
+
results/out-of-domain/HTR/results.txt ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ Best model on test data
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.961587 | 0.867337 |
5
+ | Recall | 0.975619 | 0.803538 |
6
+ | F1 | 0.968552 | 0.834219 |
results/out-of-domain/other_langs/best_model.ca.txt ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Best model on test data for ca:
2
+ | | Segment Content | Segment Boundary |
3
+ |-----------+-------------------+--------------------|
4
+ | Precision | 0.957726 | 0.861478 |
5
+ | Recall | 0.977997 | 0.760186 |
6
+ | F1 | 0.967755 | 0.807669 |
7
+ Best model on test data for ca:
8
+ | | Segment Content | Segment Boundary |
9
+ |-----------+-------------------+--------------------|
10
+ | Precision | 0.957726 | 0.861478 |
11
+ | Recall | 0.977997 | 0.760186 |
12
+ | F1 | 0.967755 | 0.807669 |
results/out-of-domain/other_langs/resultats_ambiguite_ca.txt ADDED
@@ -0,0 +1,250 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mean accuracy: 0.870275683769243.
2
+
3
+ Results for e: accuracy 0.8275862068965517
4
+ | | Segment Content | Segment Boundary |
5
+ |-----------+-------------------+--------------------|
6
+ | Precision | 0.765432 | 0.860927 |
7
+ | Recall | 0.746988 | 0.872483 |
8
+ | F1 | 0.756098 | 0.866667 |
9
+
10
+
11
+ Results for que: accuracy 0.7975460122699386
12
+ | | Segment Content | Segment Boundary |
13
+ |-----------+-------------------+--------------------|
14
+ | Precision | 0.847826 | 0.777778 |
15
+ | Recall | 0.6 | 0.928571 |
16
+ | F1 | 0.702703 | 0.846512 |
17
+
18
+
19
+ Results for ni: accuracy 0.78125
20
+ | | Segment Content | Segment Boundary |
21
+ |-----------+-------------------+--------------------|
22
+ | Precision | 0.823529 | 0.733333 |
23
+ | Recall | 0.777778 | 0.785714 |
24
+ | F1 | 0.8 | 0.758621 |
25
+
26
+
27
+ Results for per: accuracy 0.8205128205128205
28
+ | | Segment Content | Segment Boundary |
29
+ |-----------+-------------------+--------------------|
30
+ | Precision | 0.862745 | 0.740741 |
31
+ | Recall | 0.862745 | 0.740741 |
32
+ | F1 | 0.862745 | 0.740741 |
33
+
34
+
35
+ Results for de: accuracy 0.9430051813471503
36
+ | | Segment Content | Segment Boundary |
37
+ |-----------+-------------------+--------------------|
38
+ | Precision | 0.972973 | 0.25 |
39
+ | Recall | 0.967742 | 0.285714 |
40
+ | F1 | 0.97035 | 0.266667 |
41
+
42
+
43
+ Results for et: accuracy 0.7857142857142857
44
+ | | Segment Content | Segment Boundary |
45
+ |-----------+-------------------+--------------------|
46
+ | Precision | 0.761905 | 0.8 |
47
+ | Recall | 0.695652 | 0.848485 |
48
+ | F1 | 0.727273 | 0.823529 |
49
+
50
+
51
+ Results for la: accuracy 0.9923664122137404
52
+ | | Segment Content | Segment Boundary |
53
+ |-----------+-------------------+--------------------|
54
+ | Precision | 1 | 0.75 |
55
+ | Recall | 0.992188 | 1 |
56
+ | F1 | 0.996078 | 0.857143 |
57
+
58
+
59
+ Results for en: accuracy 0.9361702127659575
60
+ | | Segment Content | Segment Boundary |
61
+ |-----------+-------------------+--------------------|
62
+ | Precision | 0.987805 | 0.583333 |
63
+ | Recall | 0.94186 | 0.875 |
64
+ | F1 | 0.964286 | 0.7 |
65
+
66
+
67
+ Results for lo: accuracy 0.98989898989899
68
+ | | Segment Content | Segment Boundary |
69
+ |-----------+-------------------+--------------------|
70
+ | Precision | 1 | 0.9 |
71
+ | Recall | 0.988889 | 1 |
72
+ | F1 | 0.994413 | 0.947368 |
73
+
74
+
75
+ Results for a: accuracy 0.9222222222222223
76
+ | | Segment Content | Segment Boundary |
77
+ |-----------+-------------------+--------------------|
78
+ | Precision | 0.963415 | 0.5 |
79
+ | Recall | 0.951807 | 0.571429 |
80
+ | F1 | 0.957576 | 0.533333 |
81
+
82
+
83
+ Results for el: accuracy 0.9827586206896551
84
+ | | Segment Content | Segment Boundary |
85
+ |-----------+-------------------+--------------------|
86
+ | Precision | 0.980392 | 1 |
87
+ | Recall | 1 | 0.875 |
88
+ | F1 | 0.990099 | 0.933333 |
89
+
90
+
91
+ Results for dix: accuracy 0.6470588235294118
92
+ | | Segment Content | Segment Boundary |
93
+ |-----------+-------------------+--------------------|
94
+ | Precision | 1 | 0.142857 |
95
+ | Recall | 0.625 | 1 |
96
+ | F1 | 0.769231 | 0.25 |
97
+
98
+
99
+ Results for es: accuracy 0.8787878787878788
100
+ | | Segment Content | Segment Boundary |
101
+ |-----------+-------------------+--------------------|
102
+ | Precision | 0.966667 | 0 |
103
+ | Recall | 0.90625 | 0 |
104
+ | F1 | 0.935484 | 0 |
105
+
106
+
107
+ Results for be: accuracy 0.9
108
+ | | Segment Content | Segment Boundary |
109
+ |-----------+-------------------+--------------------|
110
+ | Precision | 0.923077 | 0.75 |
111
+ | Recall | 0.96 | 0.6 |
112
+ | F1 | 0.941176 | 0.666667 |
113
+
114
+
115
+ Results for ay: accuracy 0.9310344827586207
116
+ | | Segment Content | Segment Boundary |
117
+ |-----------+-------------------+--------------------|
118
+ | Precision | 1 | 0.5 |
119
+ | Recall | 0.925926 | 1 |
120
+ | F1 | 0.961538 | 0.666667 |
121
+
122
+
123
+ Results for En: accuracy 0.75
124
+ | | Segment Content | Segment Boundary |
125
+ |-----------+-------------------+--------------------|
126
+ | Precision | 0.8 | 0.714286 |
127
+ | Recall | 0.666667 | 0.833333 |
128
+ | F1 | 0.727273 | 0.769231 |
129
+
130
+
131
+ Results for ad: accuracy 0.8333333333333334
132
+ | | Segment Content | Segment Boundary |
133
+ |-----------+-------------------+--------------------|
134
+ | Precision | 1 | 0.714286 |
135
+ | Recall | 0.714286 | 1 |
136
+ | F1 | 0.833333 | 0.833333 |
137
+
138
+
139
+ Results for pre: accuracy 0.8947368421052632
140
+ | | Segment Content | Segment Boundary |
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+ |-----------+-------------------+--------------------|
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+ | Precision | 1 | 0.6 |
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+ | Recall | 0.875 | 1 |
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+ | F1 | 0.933333 | 0.75 |
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+ | | Segment Content | Segment Boundary |
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+ |-----------+-------------------+--------------------|
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+ | Precision | 0.909091 | 1 |
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+ | Recall | 1 | 0.833333 |
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+ | F1 | 0.952381 | 0.909091 |
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+ | | Segment Content | Segment Boundary |
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+ |-----------+-------------------+--------------------|
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+ | Precision | 1 | 0.818182 |
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+ | Recall | 0.714286 | 1 |
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+ | F1 | 0.833333 | 0.9 |
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+ | | Segment Content | Segment Boundary |
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+ | Precision | 0.95 | 0.75 |
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+ | Recall | 0.95 | 0.75 |
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+ | F1 | 0.95 | 0.75 |
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+ | | Segment Content | Segment Boundary |
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+ |-----------+-------------------+--------------------|
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+ | Precision | 1 | 0.25 |
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+ | Recall | 0.571429 | 1 |
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+ | F1 | 0.727273 | 0.4 |
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+ | | Segment Content | Segment Boundary |
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+ |-----------+-------------------+--------------------|
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+ | Precision | 0.933333 | 0.25 |
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+ | Recall | 0.823529 | 0.5 |
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+ | | Segment Content | Segment Boundary |
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+ | | Segment Content | Segment Boundary |
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+ | Precision | 0.944444 | 0.666667 |
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+ | Recall | 0.944444 | 0.666667 |
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+ | F1 | 0.944444 | 0.666667 |
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+ | | Segment Content | Segment Boundary |
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+ | Precision | 1 | 0.75 |
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+ | Recall | 0.916667 | 1 |
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+ | F1 | 0.956522 | 0.857143 |
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+ | | Segment Content | Segment Boundary |
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+ | Precision | 1 | 0.333333 |
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+ | Recall | 0.894737 | 1 |
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+ | | Segment Content | Segment Boundary |
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+ |-----------+-------------------+--------------------|
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+ | Precision | 0.941176 | 1 |
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+ | Recall | 1 | 0.75 |
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+ | F1 | 0.969697 | 0.857143 |
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+ | Precision | 1 | 1 |
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+ | Recall | 1 | 1 |
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+ | F1 | 1 | 1 |
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+ | | Segment Content | Segment Boundary |
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+ | Precision | 1 | 0.666667 |
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+ | Recall | 0.9 | 1 |
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+ | F1 | 0.947368 | 0.8 |
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+ | | Segment Content | Segment Boundary |
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+ | Precision | 1 | 0 |
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+ | Recall | 0.727273 | 0 |
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+ | F1 | 0.842105 | 0 |
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+ | Precision | 0.957726 | 0.861478 |
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+ | Recall | 0.977997 | 0.760186 |
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