-
Notifications
You must be signed in to change notification settings - Fork 0
/
README
349 lines (320 loc) · 39.4 KB
/
README
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
Universal Dependencies 2.3 Models for UDPipe
============================================
To use this model, you need UDPipe, an open-source tool for tokenization,
tagging, lemmatization and parsing of CoNLL-U files. Please visit the UDPipe
website http://ufal.mff.cuni.cz/udpipe for more information.
Universal Dependencies 2.3 Models
=================================
Universal Dependencies 2.3 Models are distributed under the CC BY-NC-SA
(http://creativecommons.org/licenses/by-nc-sa/4.0/) licence. The models are
based solely on Universal Dependencies 2.3 (http://hdl.handle.net/11234/1-2895)
treebanks. The models work in UDPipe version 1.2 and later.
Universal Dependencies 2.3 Models are versioned according to the date released
in the format YYMMDD, where YY, MM and DD are two-digit representation of year,
month and day, respectively. The latest version is 181115.
Download
--------
The latest version 181115 of the Universal Dependencies 2.3 models can be
downloaded from LINDAT/CLARIN repository (http://hdl.handle.net/11234/1-2898).
Acknowledgements
----------------
This work has been partially supported and has been using language resources and
tools developed, stored and distributed by the LINDAT/CLARIN project of the
Ministry of Education, Youth and Sports of the Czech Republic (project
LM2015071).
The models were trained on Universal Dependencies 2.3
(http://hdl.handle.net/11234/1-2895) treebanks.
For the UD treebanks which do not contain original plain text version, raw text
is used to train the tokenizer instead. The plain texts were taken from the W2C
- Web to Corpus (http://hdl.handle.net/11858/00-097C-0000-0022-6133-9).
Publications
------------
- (Straka et al. 2017) Milan Straka and Jana Straková. Tokenizing, POS
Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe
(http://ufal.mff.cuni.cz/~straka/papers/2017-conll_udpipe.pdf). In Proceedings
of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal
Dependencies, Vancouver, Canada, August 2017.
- (Straka et al. 2016) Straka Milan, Hajič Jan, Straková Jana. UDPipe:
Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization,
Morphological Analysis, POS Tagging and Parsing
(http://ufal.mff.cuni.cz/~straka/papers/2016-lrec_udpipe.pdf). In Proceedings
of the Tenth International Conference on Language Resources and Evaluation
(LREC 2016), Portorož, Slovenia, May 2016.
Model Description
-----------------
The Universal Dependencies 2.3 models contain 84 models of 56 languages, each
consisting of a tokenizer, tagger, lemmatizer and dependency parser, all trained
using the UD data. We used the original train-dev-test split, but for treebanks
with only train and no dev data we used last 10% of the train data as dev data.
We produce models only for treebanks with at least 1000 training words.
The tokenizer is trained using the SpaceAfter=No features. If the features are
not present in the data, they can be filled in using raw text in the language in
question.
The tagger, lemmatizer and parser are trained using gold UD data.
Details about model architecture and training process can be found in the
(Straka et al. 2317) paper.
Reproducible Training
---------------------
In case you want to train the same models, scripts for downloading and
resplitting UD 2.3 data, precomputed word embedding, raw texts for tokenizers,
all hyperparameter values and training scripts are available in the second
archive on the model download page (http://hdl.handle.net/11234/1-2898).
Model Performance
-----------------
We present the tagger, lemmatizer and parser performance, measured on the
testing portion of the data, evaluated in three different settings: using raw
text only, using gold tokenization only, and using gold tokenization plus gold
morphology (UPOS, XPOS, FEATS and Lemma).
|| Treebank | Mode | Words | Sents | UPOS | XPOS | UFeats | AllTags | Lemma | UAS | LAS | MLAS | BLEX |
| Afrikaans-AfriBooms | Raw text | 99.8% | 98.2% | 95.2% | 90.7% | 94.8% | 90.7% | 96.5% | 82.1% | 78.0% | 64.8% | 66.8% |
| Afrikaans-AfriBooms | Gold tok | - | - | 95.3% | 90.8% | 94.9% | 90.8% | 96.7% | 82.5% | 78.4% | 65.1% | 67.2% |
| Afrikaans-AfriBooms | Gold tok+mor | - | - | - | - | - | - | - | 87.6% | 85.0% | 77.0% | 79.6% |
| Ancient Greek-Perseus | Raw text | 100.0% | 98.6% | 82.4% | 72.3% | 85.8% | 72.3% | 82.6% | 63.7% | 57.2% | 30.6% | 38.1% |
| Ancient Greek-Perseus | Gold tok | - | - | 82.4% | 72.4% | 85.8% | 72.3% | 82.7% | 63.8% | 57.3% | 30.7% | 38.2% |
| Ancient Greek-Perseus | Gold tok+mor | - | - | - | - | - | - | - | 68.9% | 64.1% | 53.7% | 57.4% |
| Ancient Greek-PROIEL | Raw text | 100.0% | 49.7% | 95.8% | 96.0% | 88.5% | 87.0% | 92.7% | 72.9% | 68.1% | 50.2% | 56.7% |
| Ancient Greek-PROIEL | Gold tok | - | - | 95.9% | 96.2% | 88.7% | 87.2% | 92.8% | 77.4% | 72.6% | 55.1% | 60.8% |
| Ancient Greek-PROIEL | Gold tok+mor | - | - | - | - | - | - | - | 79.4% | 75.8% | 66.1% | 69.5% |
| Arabic-PADT | Raw text | 94.6% | 82.1% | 90.2% | 83.8% | 83.9% | 83.6% | 88.4% | 72.7% | 67.6% | 55.6% | 58.8% |
| Arabic-PADT | Gold tok | - | - | 95.4% | 88.7% | 88.9% | 88.5% | 92.8% | 82.2% | 76.2% | 63.0% | 66.1% |
| Arabic-PADT | Gold tok+mor | - | - | - | - | - | - | - | 84.3% | 80.4% | 75.5% | 76.6% |
| Armenian-ArmTDP | Raw text | 99.4% | 94.5% | 89.0% | - | 81.0% | 79.3% | 90.0% | 68.5% | 59.4% | 39.5% | 45.7% |
| Armenian-ArmTDP | Gold tok | - | - | 89.5% | - | 81.3% | 79.7% | 90.3% | 69.5% | 60.1% | 39.7% | 46.0% |
| Armenian-ArmTDP | Gold tok+mor | - | - | - | - | - | - | - | 77.2% | 70.3% | 61.6% | 63.5% |
| Basque-BDT | Raw text | 100.0% | 99.8% | 92.3% | - | 87.3% | 84.8% | 93.5% | 75.0% | 69.9% | 57.4% | 63.2% |
| Basque-BDT | Gold tok | - | - | 92.4% | - | 87.4% | 84.8% | 93.6% | 75.1% | 70.0% | 57.4% | 63.2% |
| Basque-BDT | Gold tok+mor | - | - | - | - | - | - | - | 82.1% | 78.4% | 75.2% | 77.2% |
| Belarusian-HSE | Raw text | 99.3% | 69.0% | 86.4% | 77.9% | 69.2% | 63.0% | 79.7% | 66.1% | 56.9% | 34.7% | 42.7% |
| Belarusian-HSE | Gold tok | - | - | 87.2% | 78.2% | 69.6% | 63.1% | 80.2% | 68.0% | 58.8% | 35.4% | 44.0% |
| Belarusian-HSE | Gold tok+mor | - | - | - | - | - | - | - | 79.4% | 76.3% | 71.9% | 73.6% |
| Bulgarian-BTB | Raw text | 99.9% | 95.3% | 97.6% | 94.4% | 95.4% | 93.8% | 94.6% | 89.3% | 85.2% | 75.5% | 74.1% |
| Bulgarian-BTB | Gold tok | - | - | 97.8% | 94.5% | 95.5% | 93.9% | 94.7% | 90.0% | 85.9% | 76.1% | 74.7% |
| Bulgarian-BTB | Gold tok+mor | - | - | - | - | - | - | - | 92.5% | 89.1% | 84.4% | 84.7% |
| Catalan-AnCora | Raw text | 100.0% | 99.4% | 98.0% | 98.0% | 97.4% | 96.7% | 97.9% | 88.6% | 85.6% | 76.8% | 77.2% |
| Catalan-AnCora | Gold tok | - | - | 98.0% | 98.0% | 97.4% | 96.7% | 97.9% | 88.7% | 85.7% | 76.8% | 77.3% |
| Catalan-AnCora | Gold tok+mor | - | - | - | - | - | - | - | 90.9% | 88.6% | 82.8% | 83.3% |
| Chinese-GSD | Raw text | 90.3% | 98.8% | 84.2% | 84.0% | 89.1% | 82.8% | 90.3% | 62.8% | 58.7% | 49.0% | 53.6% |
| Chinese-GSD | Gold tok | - | - | 92.1% | 91.9% | 98.7% | 90.7% | 100.0% | 75.6% | 70.1% | 59.6% | 65.4% |
| Chinese-GSD | Gold tok+mor | - | - | - | - | - | - | - | 84.8% | 81.9% | 75.9% | 78.4% |
| Coptic-Scriptorium | Raw text | 64.9% | 29.7% | 61.0% | 60.4% | 61.6% | 59.9% | 62.5% | 36.6% | 34.7% | 23.2% | 25.9% |
| Coptic-Scriptorium | Gold tok | - | - | 93.1% | 91.6% | 95.1% | 91.0% | 94.4% | 82.1% | 76.8% | 60.2% | 63.4% |
| Coptic-Scriptorium | Gold tok+mor | - | - | - | - | - | - | - | 86.2% | 81.8% | 70.1% | 73.1% |
| Croatian-SET | Raw text | 99.9% | 94.9% | 96.3% | - | 84.5% | 83.8% | 94.8% | 84.2% | 78.4% | 58.5% | 69.9% |
| Croatian-SET | Gold tok | - | - | 96.4% | - | 84.6% | 83.9% | 94.9% | 84.9% | 79.0% | 59.0% | 70.5% |
| Croatian-SET | Gold tok+mor | - | - | - | - | - | - | - | 88.0% | 83.9% | 79.3% | 80.6% |
| Czech-CAC | Raw text | 100.0% | 99.7% | 98.1% | 90.7% | 89.8% | 89.5% | 96.9% | 86.0% | 82.7% | 70.0% | 76.5% |
| Czech-CAC | Gold tok | - | - | 98.1% | 90.7% | 89.8% | 89.5% | 96.9% | 86.0% | 82.7% | 70.0% | 76.6% |
| Czech-CAC | Gold tok+mor | - | - | - | - | - | - | - | 89.6% | 87.5% | 84.6% | 85.3% |
| Czech-CLTT | Raw text | 99.4% | 97.4% | 96.5% | 87.7% | 87.8% | 87.5% | 96.0% | 78.2% | 74.7% | 60.7% | 68.5% |
| Czech-CLTT | Gold tok | - | - | 97.2% | 88.2% | 88.4% | 88.1% | 96.5% | 78.9% | 75.5% | 61.1% | 68.8% |
| Czech-CLTT | Gold tok+mor | - | - | - | - | - | - | - | 82.3% | 79.4% | 74.2% | 75.0% |
| Czech-FicTree | Raw text | 100.0% | 98.4% | 97.1% | 90.0% | 90.8% | 89.6% | 97.1% | 86.1% | 81.7% | 68.2% | 74.1% |
| Czech-FicTree | Gold tok | - | - | 97.1% | 90.0% | 90.8% | 89.6% | 97.1% | 86.2% | 81.8% | 68.3% | 74.3% |
| Czech-FicTree | Gold tok+mor | - | - | - | - | - | - | - | 90.5% | 87.6% | 83.2% | 84.2% |
| Czech-PDT | Raw text | 99.9% | 93.6% | 98.2% | 92.8% | 92.4% | 91.9% | 97.8% | 87.1% | 84.1% | 74.5% | 79.5% |
| Czech-PDT | Gold tok | - | - | 98.3% | 92.9% | 92.5% | 92.0% | 97.9% | 87.8% | 84.8% | 75.1% | 80.2% |
| Czech-PDT | Gold tok+mor | - | - | - | - | - | - | - | 90.2% | 88.1% | 85.5% | 86.1% |
| Danish-DDT | Raw text | 99.8% | 91.6% | 95.4% | - | 94.8% | 93.4% | 94.7% | 79.2% | 75.9% | 66.3% | 66.8% |
| Danish-DDT | Gold tok | - | - | 95.6% | - | 95.0% | 93.6% | 94.9% | 80.2% | 76.8% | 67.2% | 67.5% |
| Danish-DDT | Gold tok+mor | - | - | - | - | - | - | - | 84.8% | 82.4% | 77.4% | 79.1% |
| Dutch-Alpino | Raw text | 99.9% | 91.7% | 94.3% | 91.5% | 93.6% | 90.8% | 95.4% | 82.3% | 78.2% | 63.0% | 66.0% |
| Dutch-Alpino | Gold tok | - | - | 94.4% | 91.6% | 93.6% | 91.0% | 95.5% | 83.1% | 78.9% | 63.9% | 66.9% |
| Dutch-Alpino | Gold tok+mor | - | - | - | - | - | - | - | 86.6% | 83.1% | 75.1% | 76.2% |
| Dutch-LassySmall | Raw text | 99.7% | 74.5% | 94.1% | 91.8% | 93.7% | 91.1% | 95.5% | 79.9% | 75.9% | 63.3% | 64.3% |
| Dutch-LassySmall | Gold tok | - | - | 94.3% | 92.2% | 94.2% | 91.5% | 95.9% | 83.6% | 79.1% | 67.2% | 68.3% |
| Dutch-LassySmall | Gold tok+mor | - | - | - | - | - | - | - | 87.5% | 84.1% | 78.1% | 78.8% |
| English-EWT | Raw text | 99.1% | 77.1% | 93.5% | 92.9% | 94.5% | 91.5% | 96.0% | 80.5% | 77.5% | 68.5% | 71.0% |
| English-EWT | Gold tok | - | - | 94.4% | 93.9% | 95.4% | 92.5% | 96.8% | 84.5% | 81.2% | 72.0% | 74.6% |
| English-EWT | Gold tok+mor | - | - | - | - | - | - | - | 87.7% | 85.8% | 82.0% | 82.7% |
| English-GUM | Raw text | 99.7% | 80.7% | 93.2% | 92.7% | 93.9% | 91.6% | 94.4% | 79.0% | 74.7% | 62.8% | 62.7% |
| English-GUM | Gold tok | - | - | 93.5% | 93.1% | 94.2% | 92.0% | 94.7% | 81.2% | 76.8% | 64.6% | 64.6% |
| English-GUM | Gold tok+mor | - | - | - | - | - | - | - | 86.1% | 83.8% | 77.1% | 78.2% |
| English-LinES | Raw text | 99.9% | 87.2% | 94.6% | 92.4% | 94.8% | 90.0% | 95.9% | 77.8% | 72.7% | 63.5% | 64.8% |
| English-LinES | Gold tok | - | - | 94.7% | 92.5% | 94.8% | 90.0% | 96.0% | 78.3% | 73.2% | 64.0% | 65.3% |
| English-LinES | Gold tok+mor | - | - | - | - | - | - | - | 82.2% | 78.3% | 73.7% | 75.8% |
| English-ParTUT | Raw text | 99.5% | 99.0% | 93.9% | 93.5% | 93.5% | 91.9% | 96.4% | 84.6% | 80.8% | 69.0% | 71.1% |
| English-ParTUT | Gold tok | - | - | 94.3% | 93.9% | 94.0% | 92.3% | 96.9% | 85.1% | 81.4% | 69.5% | 71.8% |
| English-ParTUT | Gold tok+mor | - | - | - | - | - | - | - | 87.1% | 85.6% | 79.1% | 80.2% |
| Estonian-EDT | Raw text | 100.0% | 91.7% | 95.7% | 96.8% | 93.2% | 91.6% | 90.5% | 79.5% | 75.5% | 67.7% | 64.3% |
| Estonian-EDT | Gold tok | - | - | 95.7% | 96.9% | 93.3% | 91.7% | 90.6% | 80.3% | 76.2% | 68.3% | 64.9% |
| Estonian-EDT | Gold tok+mor | - | - | - | - | - | - | - | 85.1% | 82.7% | 79.5% | 80.5% |
| Finnish-FTB | Raw text | 99.9% | 88.4% | 92.4% | 91.1% | 92.8% | 89.6% | 88.6% | 80.3% | 76.0% | 65.5% | 62.0% |
| Finnish-FTB | Gold tok | - | - | 92.6% | 91.3% | 93.0% | 89.8% | 88.8% | 81.8% | 77.4% | 67.0% | 63.4% |
| Finnish-FTB | Gold tok+mor | - | - | - | - | - | - | - | 88.9% | 86.7% | 82.3% | 83.3% |
| Finnish-TDT | Raw text | 99.7% | 89.8% | 94.4% | 95.6% | 92.1% | 90.8% | 86.5% | 80.8% | 76.9% | 68.8% | 62.5% |
| Finnish-TDT | Gold tok | - | - | 94.7% | 95.9% | 92.4% | 91.0% | 86.8% | 81.9% | 77.9% | 69.5% | 63.2% |
| Finnish-TDT | Gold tok+mor | - | - | - | - | - | - | - | 86.4% | 84.2% | 81.3% | 82.3% |
| French-GSD | Raw text | 98.8% | 94.1% | 95.8% | - | 95.5% | 94.5% | 96.6% | 85.0% | 81.8% | 72.5% | 74.4% |
| French-GSD | Gold tok | - | - | 97.0% | - | 96.6% | 95.5% | 97.8% | 86.5% | 83.4% | 74.0% | 75.5% |
| French-GSD | Gold tok+mor | - | - | - | - | - | - | - | 89.0% | 86.8% | 82.3% | 82.8% |
| French-ParTUT | Raw text | 99.4% | 100.0% | 94.8% | 94.3% | 92.0% | 91.0% | 95.2% | 89.0% | 85.0% | 68.0% | 73.3% |
| French-ParTUT | Gold tok | - | - | 95.4% | 95.0% | 92.6% | 91.6% | 95.8% | 89.5% | 85.8% | 68.7% | 73.7% |
| French-ParTUT | Gold tok+mor | - | - | - | - | - | - | - | 91.6% | 89.5% | 82.4% | 83.7% |
| French-Sequoia | Raw text | 99.2% | 88.6% | 96.1% | - | 95.2% | 94.2% | 97.0% | 84.9% | 82.1% | 73.1% | 75.4% |
| French-Sequoia | Gold tok | - | - | 97.0% | - | 96.0% | 95.1% | 97.8% | 86.5% | 83.8% | 74.7% | 76.6% |
| French-Sequoia | Gold tok+mor | - | - | - | - | - | - | - | 89.4% | 88.0% | 83.8% | 84.2% |
| French-Spoken | Raw text | 99.9% | 22.4% | 92.9% | 97.3% | - | 90.5% | 95.8% | 72.2% | 66.2% | 54.2% | 55.3% |
| French-Spoken | Gold tok | - | - | 93.3% | 97.3% | - | 90.8% | 95.9% | 77.1% | 70.8% | 60.6% | 61.4% |
| French-Spoken | Gold tok+mor | - | - | - | - | - | - | - | 80.2% | 75.3% | 66.7% | 68.0% |
| Galician-CTG | Raw text | 99.2% | 97.5% | 96.3% | 95.8% | 99.0% | 95.4% | 96.2% | 79.2% | 76.2% | 62.5% | 65.4% |
| Galician-CTG | Gold tok | - | - | 97.0% | 96.5% | 99.8% | 96.2% | 96.9% | 80.8% | 77.7% | 64.3% | 67.2% |
| Galician-CTG | Gold tok+mor | - | - | - | - | - | - | - | 83.0% | 80.7% | 69.4% | 74.1% |
| Galician-TreeGal | Raw text | 98.7% | 85.2% | 91.0% | 87.2% | 89.6% | 86.5% | 92.5% | 71.4% | 65.8% | 49.0% | 51.4% |
| Galician-TreeGal | Gold tok | - | - | 92.3% | 88.3% | 90.6% | 87.5% | 93.5% | 74.2% | 68.1% | 51.7% | 54.1% |
| Galician-TreeGal | Gold tok+mor | - | - | - | - | - | - | - | 81.3% | 76.9% | 69.5% | 70.6% |
| German-GSD | Raw text | 99.6% | 81.8% | 91.4% | 80.4% | 69.9% | 63.3% | 95.4% | 77.0% | 71.7% | 33.9% | 60.4% |
| German-GSD | Gold tok | - | - | 91.9% | 80.8% | 70.2% | 63.7% | 95.8% | 79.7% | 74.1% | 35.2% | 62.8% |
| German-GSD | Gold tok+mor | - | - | - | - | - | - | - | 84.6% | 80.3% | 71.2% | 74.5% |
| Gothic-PROIEL | Raw text | 100.0% | 28.9% | 94.3% | 94.9% | 87.3% | 85.3% | 92.4% | 69.1% | 62.3% | 48.8% | 55.2% |
| Gothic-PROIEL | Gold tok | - | - | 94.9% | 95.3% | 87.7% | 86.0% | 92.6% | 78.3% | 71.5% | 57.4% | 62.9% |
| Gothic-PROIEL | Gold tok+mor | - | - | - | - | - | - | - | 82.1% | 77.8% | 70.9% | 74.4% |
| Greek-GDT | Raw text | 99.8% | 89.4% | 95.8% | 95.8% | 90.3% | 89.2% | 94.7% | 86.0% | 82.8% | 66.2% | 69.5% |
| Greek-GDT | Gold tok | - | - | 96.0% | 96.0% | 90.5% | 89.4% | 94.9% | 86.7% | 83.6% | 67.0% | 70.3% |
| Greek-GDT | Gold tok+mor | - | - | - | - | - | - | - | 89.1% | 87.3% | 81.2% | 82.1% |
| Hebrew-HTB | Raw text | 85.0% | 99.4% | 80.5% | 80.5% | 78.7% | 77.7% | 81.5% | 61.7% | 58.3% | 44.6% | 47.4% |
| Hebrew-HTB | Gold tok | - | - | 94.9% | 94.9% | 92.7% | 91.5% | 95.3% | 83.6% | 79.6% | 64.3% | 67.0% |
| Hebrew-HTB | Gold tok+mor | - | - | - | - | - | - | - | 87.0% | 84.9% | 78.4% | 78.8% |
| Hindi-HDTB | Raw text | 100.0% | 98.2% | 95.8% | 94.8% | 90.3% | 87.7% | 98.0% | 91.5% | 87.3% | 69.2% | 80.3% |
| Hindi-HDTB | Gold tok | - | - | 95.8% | 94.8% | 90.3% | 87.7% | 98.0% | 91.7% | 87.5% | 69.3% | 80.4% |
| Hindi-HDTB | Gold tok+mor | - | - | - | - | - | - | - | 94.0% | 91.0% | 85.8% | 87.0% |
| Hungarian-Szeged | Raw text | 99.8% | 95.6% | 90.6% | - | 88.1% | 86.4% | 88.5% | 72.9% | 67.2% | 53.7% | 57.9% |
| Hungarian-Szeged | Gold tok | - | - | 90.7% | - | 88.2% | 86.5% | 88.7% | 73.3% | 67.6% | 53.9% | 58.1% |
| Hungarian-Szeged | Gold tok+mor | - | - | - | - | - | - | - | 80.5% | 77.6% | 72.7% | 76.6% |
| Indonesian-GSD | Raw text | 100.0% | 94.1% | 93.0% | 92.2% | 93.9% | 87.1% | 92.2% | 81.0% | 74.6% | 63.6% | 62.9% |
| Indonesian-GSD | Gold tok | - | - | 93.0% | 92.2% | 93.9% | 87.1% | 92.2% | 81.2% | 74.8% | 63.9% | 63.2% |
| Indonesian-GSD | Gold tok+mor | - | - | - | - | - | - | - | 84.0% | 79.8% | 76.4% | 78.3% |
| Irish-IDT | Raw text | 99.6% | 95.9% | 89.5% | 88.2% | 79.0% | 75.3% | 85.7% | 74.0% | 64.2% | 38.2% | 43.3% |
| Irish-IDT | Gold tok | - | - | 89.8% | 88.5% | 79.4% | 75.6% | 86.1% | 74.4% | 64.4% | 38.2% | 43.2% |
| Irish-IDT | Gold tok+mor | - | - | - | - | - | - | - | 78.9% | 72.3% | 60.7% | 62.9% |
| Italian-ISDT | Raw text | 99.7% | 99.4% | 97.0% | 96.8% | 97.1% | 96.0% | 97.2% | 88.7% | 86.1% | 76.5% | 76.5% |
| Italian-ISDT | Gold tok | - | - | 97.2% | 97.1% | 97.3% | 96.2% | 97.5% | 89.2% | 86.6% | 77.1% | 77.1% |
| Italian-ISDT | Gold tok+mor | - | - | - | - | - | - | - | 91.3% | 89.8% | 84.2% | 84.6% |
| Italian-ParTUT | Raw text | 99.7% | 99.0% | 96.6% | 96.1% | 96.2% | 95.1% | 96.3% | 85.9% | 83.2% | 72.2% | 71.2% |
| Italian-ParTUT | Gold tok | - | - | 96.8% | 96.3% | 96.4% | 95.2% | 96.5% | 85.9% | 83.2% | 72.0% | 71.1% |
| Italian-ParTUT | Gold tok+mor | - | - | - | - | - | - | - | 89.8% | 87.8% | 80.5% | 81.2% |
| Italian-PoSTWITA | Raw text | 99.4% | 28.5% | 94.0% | 93.7% | 94.5% | 92.4% | 94.9% | 73.9% | 68.8% | 55.8% | 56.5% |
| Italian-PoSTWITA | Gold tok | - | - | 94.5% | 94.1% | 94.9% | 92.8% | 95.4% | 80.7% | 74.8% | 63.7% | 64.5% |
| Italian-PoSTWITA | Gold tok+mor | - | - | - | - | - | - | - | 84.6% | 79.8% | 73.3% | 74.0% |
| Japanese-GSD | Raw text | 91.0% | 95.0% | 88.6% | 88.1% | 91.0% | 88.1% | 90.3% | 75.3% | 73.8% | 60.8% | 62.6% |
| Japanese-GSD | Gold tok | - | - | 97.0% | 96.3% | 100.0% | 96.3% | 99.1% | 92.8% | 90.8% | 81.0% | 83.2% |
| Japanese-GSD | Gold tok+mor | - | - | - | - | - | - | - | 95.0% | 93.9% | 87.2% | 87.3% |
| Korean-GSD | Raw text | 99.8% | 94.8% | 93.5% | 81.8% | 99.6% | 79.5% | 87.1% | 69.6% | 61.5% | 54.2% | 50.9% |
| Korean-GSD | Gold tok | - | - | 93.7% | 81.9% | 99.7% | 79.7% | 87.2% | 70.3% | 62.1% | 54.8% | 51.4% |
| Korean-GSD | Gold tok+mor | - | - | - | - | - | - | - | 72.5% | 65.5% | 60.4% | 61.6% |
| Korean-Kaist | Raw text | 99.9% | 100.0% | 93.3% | 80.0% | - | 80.0% | 88.5% | 77.7% | 70.4% | 61.8% | 58.0% |
| Korean-Kaist | Gold tok | - | - | 93.3% | 80.1% | - | 80.1% | 88.5% | 77.8% | 70.5% | 61.9% | 58.0% |
| Korean-Kaist | Gold tok+mor | - | - | - | - | - | - | - | 80.2% | 73.7% | 67.8% | 68.3% |
| Latin-ITTB | Raw text | 100.0% | 91.3% | 97.0% | 92.7% | 93.2% | 91.0% | 98.1% | 82.8% | 79.5% | 70.0% | 75.0% |
| Latin-ITTB | Gold tok | - | - | 97.0% | 92.7% | 93.2% | 91.0% | 98.1% | 83.8% | 80.4% | 70.4% | 75.5% |
| Latin-ITTB | Gold tok+mor | - | - | - | - | - | - | - | 88.5% | 86.5% | 82.7% | 83.7% |
| Latin-PROIEL | Raw text | 99.9% | 35.9% | 94.6% | 94.7% | 86.8% | 85.7% | 94.2% | 66.3% | 60.8% | 48.1% | 54.9% |
| Latin-PROIEL | Gold tok | - | - | 94.9% | 94.9% | 87.2% | 86.2% | 94.3% | 74.2% | 68.3% | 55.5% | 62.0% |
| Latin-PROIEL | Gold tok+mor | - | - | - | - | - | - | - | 77.3% | 73.4% | 67.1% | 70.4% |
| Latin-Perseus | Raw text | 100.0% | 98.5% | 83.3% | 67.2% | 72.1% | 67.2% | 78.0% | 57.1% | 46.5% | 29.4% | 31.6% |
| Latin-Perseus | Gold tok | - | - | 83.3% | 67.2% | 72.1% | 67.2% | 77.9% | 57.1% | 46.5% | 29.4% | 31.6% |
| Latin-Perseus | Gold tok+mor | - | - | - | - | - | - | - | 67.5% | 61.7% | 56.1% | 59.1% |
| Latvian-LVTB | Raw text | 99.3% | 98.2% | 92.3% | 83.0% | 88.0% | 82.5% | 91.7% | 76.2% | 71.0% | 57.8% | 61.8% |
| Latvian-LVTB | Gold tok | - | - | 92.9% | 83.5% | 88.6% | 83.1% | 92.3% | 77.2% | 71.9% | 58.7% | 62.7% |
| Latvian-LVTB | Gold tok+mor | - | - | - | - | - | - | - | 84.9% | 81.5% | 77.3% | 78.6% |
| Lithuanian-HSE | Raw text | 98.8% | 89.5% | 73.7% | 72.2% | 68.5% | 61.7% | 72.5% | 45.9% | 33.8% | 20.6% | 23.3% |
| Lithuanian-HSE | Gold tok | - | - | 74.2% | 72.5% | 69.2% | 62.0% | 73.1% | 47.1% | 34.6% | 20.9% | 23.2% |
| Lithuanian-HSE | Gold tok+mor | - | - | - | - | - | - | - | 54.9% | 47.7% | 41.9% | 44.2% |
| Maltese-MUDT | Raw text | 99.8% | 84.8% | 94.1% | 93.6% | - | 93.6% | - | 76.6% | 71.0% | 57.0% | 60.6% |
| Maltese-MUDT | Gold tok | - | - | 94.3% | 93.8% | - | 93.8% | - | 77.7% | 72.0% | 57.9% | 61.5% |
| Maltese-MUDT | Gold tok+mor | - | - | - | - | - | - | - | 82.2% | 77.9% | 67.3% | 69.0% |
| Marathi-UFAL | Raw text | 90.1% | 90.7% | 71.3% | - | 60.6% | 58.1% | 76.1% | 60.3% | 48.3% | 24.7% | 31.9% |
| Marathi-UFAL | Gold tok | - | - | 77.7% | - | 63.4% | 60.4% | 76.5% | 68.0% | 54.1% | 26.6% | 30.4% |
| Marathi-UFAL | Gold tok+mor | - | - | - | - | - | - | - | 73.8% | 63.6% | 57.3% | 59.8% |
| North Sami-Giella | Raw text | 99.9% | 98.8% | 87.8% | 89.4% | 82.5% | 78.4% | 82.0% | 64.7% | 57.9% | 46.7% | 43.2% |
| North Sami-Giella | Gold tok | - | - | 87.9% | 89.6% | 82.6% | 78.5% | 82.1% | 64.9% | 58.2% | 46.9% | 43.5% |
| North Sami-Giella | Gold tok+mor | - | - | - | - | - | - | - | 81.4% | 78.7% | 74.2% | 77.2% |
| Norwegian-Bokmaal | Raw text | 99.8% | 97.0% | 96.5% | - | 95.3% | 94.1% | 96.6% | 86.5% | 83.7% | 74.8% | 76.7% |
| Norwegian-Bokmaal | Gold tok | - | - | 96.7% | - | 95.5% | 94.3% | 96.8% | 87.1% | 84.3% | 75.3% | 77.2% |
| Norwegian-Bokmaal | Gold tok+mor | - | - | - | - | - | - | - | 91.5% | 89.6% | 85.7% | 86.6% |
| Norwegian-Nynorsk | Raw text | 99.9% | 93.3% | 96.1% | - | 94.9% | 93.7% | 96.4% | 85.5% | 82.3% | 72.6% | 74.4% |
| Norwegian-Nynorsk | Gold tok | - | - | 96.3% | - | 95.1% | 93.8% | 96.5% | 86.2% | 83.0% | 73.4% | 75.1% |
| Norwegian-Nynorsk | Gold tok+mor | - | - | - | - | - | - | - | 91.1% | 89.1% | 85.1% | 86.2% |
| Norwegian-NynorskLIA | Raw text | 100.0% | 99.9% | 85.2% | - | 86.5% | 81.9% | 92.7% | 58.5% | 49.8% | 38.6% | 42.1% |
| Norwegian-NynorskLIA | Gold tok | - | - | 85.2% | - | 86.5% | 81.9% | 92.7% | 58.5% | 49.8% | 38.6% | 42.1% |
| Norwegian-NynorskLIA | Gold tok+mor | - | - | - | - | - | - | - | 74.1% | 66.4% | 59.1% | 61.0% |
| Old Church Slavonic-PROIEL | Raw text | 100.0% | 40.4% | 93.7% | 93.7% | 86.7% | 85.3% | 90.6% | 73.1% | 66.6% | 55.1% | 59.3% |
| Old Church Slavonic-PROIEL | Gold tok | - | - | 94.0% | 94.0% | 87.1% | 85.8% | 90.8% | 81.6% | 74.8% | 62.8% | 66.3% |
| Old Church Slavonic-PROIEL | Gold tok+mor | - | - | - | - | - | - | - | 86.6% | 82.5% | 77.0% | 79.9% |
| Old French-SRCMF | Raw text | 99.9% | 100.0% | 94.2% | 93.8% | 96.0% | 93.3% | - | 85.5% | 79.3% | 70.9% | 74.6% |
| Old French-SRCMF | Gold tok | - | - | 94.3% | 93.9% | 96.1% | 93.4% | - | 85.6% | 79.4% | 71.0% | 74.7% |
| Old French-SRCMF | Gold tok+mor | - | - | - | - | - | - | - | 88.8% | 84.4% | 78.4% | 79.7% |
| Persian-Seraji | Raw text | 99.7% | 98.8% | 96.0% | 95.9% | 96.1% | 95.4% | 93.6% | 83.6% | 79.6% | 72.8% | 70.1% |
| Persian-Seraji | Gold tok | - | - | 96.3% | 96.3% | 96.4% | 95.7% | 93.9% | 84.3% | 80.2% | 73.3% | 70.5% |
| Persian-Seraji | Gold tok+mor | - | - | - | - | - | - | - | 87.2% | 84.3% | 80.0% | 80.8% |
| Polish-LFG | Raw text | 99.8% | 99.7% | 96.7% | 87.2% | 89.1% | 86.5% | 94.5% | 91.3% | 87.9% | 74.8% | 78.9% |
| Polish-LFG | Gold tok | - | - | 96.9% | 87.3% | 89.2% | 86.7% | 94.6% | 91.6% | 88.2% | 75.1% | 79.1% |
| Polish-LFG | Gold tok+mor | - | - | - | - | - | - | - | 96.3% | 95.0% | 93.0% | 93.2% |
| Polish-SZ | Raw text | 99.9% | 98.9% | 95.5% | 83.3% | 83.5% | 82.5% | 93.3% | 86.3% | 82.2% | 64.0% | 72.3% |
| Polish-SZ | Gold tok | - | - | 95.7% | 83.5% | 83.6% | 82.7% | 93.5% | 86.9% | 82.7% | 64.5% | 72.7% |
| Polish-SZ | Gold tok+mor | - | - | - | - | - | - | - | 93.3% | 91.6% | 89.0% | 89.6% |
| Portuguese-Bosque | Raw text | 99.6% | 90.0% | 95.8% | - | 94.5% | 92.3% | 96.6% | 85.3% | 82.2% | 67.4% | 72.1% |
| Portuguese-Bosque | Gold tok | - | - | 96.3% | - | 94.9% | 92.7% | 97.0% | 86.4% | 83.2% | 68.2% | 73.0% |
| Portuguese-Bosque | Gold tok+mor | - | - | - | - | - | - | - | 87.8% | 84.9% | 77.8% | 78.9% |
| Portuguese-GSD | Raw text | 99.9% | 97.0% | 97.0% | 97.0% | 99.7% | 97.0% | 98.5% | 88.0% | 85.9% | 77.9% | 78.5% |
| Portuguese-GSD | Gold tok | - | - | 97.2% | 97.2% | 99.9% | 97.2% | 98.7% | 88.4% | 86.3% | 78.2% | 78.8% |
| Portuguese-GSD | Gold tok+mor | - | - | - | - | - | - | - | 90.9% | 89.5% | 83.7% | 84.3% |
| Romanian-Nonstandard | Raw text | 98.5% | 96.6% | 94.1% | 89.1% | 88.0% | 86.8% | 91.6% | 82.0% | 76.2% | 57.9% | 63.9% |
| Romanian-Nonstandard | Gold tok | - | - | 95.5% | 90.3% | 89.3% | 88.0% | 92.9% | 84.1% | 78.2% | 59.4% | 65.4% |
| Romanian-Nonstandard | Gold tok+mor | - | - | - | - | - | - | - | 86.1% | 80.8% | 72.4% | 74.7% |
| Romanian-RRT | Raw text | 99.7% | 95.3% | 96.7% | 95.9% | 96.1% | 95.7% | 96.6% | 85.6% | 80.2% | 71.5% | 71.8% |
| Romanian-RRT | Gold tok | - | - | 96.9% | 96.2% | 96.4% | 96.0% | 96.8% | 86.3% | 81.0% | 72.1% | 72.5% |
| Romanian-RRT | Gold tok+mor | - | - | - | - | - | - | - | 88.1% | 83.3% | 77.1% | 78.1% |
| Russian-GSD | Raw text | 99.9% | 96.2% | 94.4% | 94.2% | 84.3% | 82.5% | 74.9% | 82.6% | 77.3% | 60.3% | 47.5% |
| Russian-GSD | Gold tok | - | - | 94.5% | 94.3% | 84.4% | 82.6% | 75.0% | 83.0% | 77.7% | 60.5% | 47.8% |
| Russian-GSD | Gold tok+mor | - | - | - | - | - | - | - | 86.2% | 83.3% | 80.4% | 81.2% |
| Russian-SynTagRus | Raw text | 99.7% | 98.8% | 97.9% | - | 93.6% | 93.2% | 96.6% | 87.9% | 85.3% | 77.2% | 79.7% |
| Russian-SynTagRus | Gold tok | - | - | 98.2% | - | 93.9% | 93.5% | 96.9% | 88.5% | 85.8% | 77.6% | 80.1% |
| Russian-SynTagRus | Gold tok+mor | - | - | - | - | - | - | - | 90.3% | 89.0% | 86.9% | 87.3% |
| Russian-Taiga | Raw text | 98.0% | 87.2% | 86.4% | 98.0% | 75.8% | 74.0% | 82.7% | 63.1% | 54.9% | 36.3% | 39.0% |
| Russian-Taiga | Gold tok | - | - | 88.1% | 100.0% | 77.5% | 75.4% | 84.3% | 66.0% | 57.2% | 38.0% | 40.9% |
| Russian-Taiga | Gold tok+mor | - | - | - | - | - | - | - | 72.5% | 67.2% | 61.0% | 62.8% |
| Serbian-SET | Raw text | 100.0% | 92.3% | 96.8% | - | 90.5% | 90.3% | 94.8% | 86.4% | 82.2% | 69.6% | 74.0% |
| Serbian-SET | Gold tok | - | - | 96.9% | - | 90.7% | 90.4% | 94.9% | 87.0% | 82.8% | 70.3% | 74.6% |
| Serbian-SET | Gold tok+mor | - | - | - | - | - | - | - | 90.3% | 86.9% | 82.6% | 84.5% |
| Slovak-SNK | Raw text | 100.0% | 85.3% | 93.3% | 77.1% | 80.5% | 75.1% | 86.2% | 80.0% | 75.5% | 54.6% | 60.5% |
| Slovak-SNK | Gold tok | - | - | 93.4% | 77.2% | 80.6% | 75.2% | 86.2% | 81.5% | 76.9% | 55.6% | 61.3% |
| Slovak-SNK | Gold tok+mor | - | - | - | - | - | - | - | 89.2% | 86.9% | 84.0% | 84.8% |
| Slovenian-SSJ | Raw text | 98.3% | 76.2% | 94.5% | 86.4% | 86.6% | 85.8% | 93.7% | 80.6% | 77.4% | 63.4% | 69.0% |
| Slovenian-SSJ | Gold tok | - | - | 96.2% | 88.0% | 88.4% | 87.5% | 95.3% | 85.2% | 81.8% | 67.1% | 72.9% |
| Slovenian-SSJ | Gold tok+mor | - | - | - | - | - | - | - | 91.7% | 90.2% | 87.2% | 87.6% |
| Slovenian-SST | Raw text | 99.8% | 23.1% | 88.4% | 80.2% | 80.3% | 77.7% | 91.0% | 53.9% | 47.0% | 34.4% | 38.5% |
| Slovenian-SST | Gold tok | - | - | 88.8% | 80.7% | 80.9% | 78.3% | 91.2% | 64.7% | 56.9% | 43.1% | 48.6% |
| Slovenian-SST | Gold tok+mor | - | - | - | - | - | - | - | 74.8% | 69.4% | 63.7% | 65.6% |
| Spanish-AnCora | Raw text | 99.9% | 99.0% | 98.1% | 98.1% | 97.7% | 96.9% | 98.0% | 87.6% | 84.6% | 76.3% | 76.8% |
| Spanish-AnCora | Gold tok | - | - | 98.2% | 98.2% | 97.8% | 97.0% | 98.1% | 87.8% | 84.8% | 76.4% | 76.9% |
| Spanish-AnCora | Gold tok+mor | - | - | - | - | - | - | - | 90.2% | 87.7% | 81.8% | 82.7% |
| Spanish-GSD | Raw text | 99.8% | 94.9% | 95.5% | - | 96.2% | 93.7% | 95.9% | 85.3% | 81.8% | 68.8% | 69.5% |
| Spanish-GSD | Gold tok | - | - | 95.8% | - | 96.4% | 94.0% | 96.2% | 85.9% | 82.3% | 69.3% | 70.0% |
| Spanish-GSD | Gold tok+mor | - | - | - | - | - | - | - | 87.7% | 85.1% | 78.1% | 79.0% |
| Swedish-LinES | Raw text | 100.0% | 86.8% | 94.4% | 91.8% | 87.6% | 84.4% | 94.5% | 79.8% | 74.9% | 59.6% | 67.5% |
| Swedish-LinES | Gold tok | - | - | 94.6% | 91.9% | 87.7% | 84.5% | 94.5% | 80.5% | 75.5% | 60.1% | 68.0% |
| Swedish-LinES | Gold tok+mor | - | - | - | - | - | - | - | 84.7% | 80.9% | 77.5% | 78.8% |
| Swedish-Talbanken | Raw text | 99.9% | 96.1% | 95.6% | 94.0% | 94.5% | 92.8% | 95.5% | 82.2% | 78.2% | 69.3% | 70.3% |
| Swedish-Talbanken | Gold tok | - | - | 95.8% | 94.1% | 94.7% | 92.9% | 95.6% | 82.6% | 78.7% | 69.7% | 70.7% |
| Swedish-Talbanken | Gold tok+mor | - | - | - | - | - | - | - | 87.9% | 85.1% | 81.1% | 82.2% |
| Tamil-TTB | Raw text | 95.0% | 100.0% | 81.8% | 76.9% | 81.0% | 76.1% | 84.6% | 60.0% | 52.5% | 42.2% | 43.5% |
| Tamil-TTB | Gold tok | - | - | 85.7% | 80.1% | 84.7% | 79.3% | 88.3% | 65.0% | 57.0% | 46.3% | 47.6% |
| Tamil-TTB | Gold tok+mor | - | - | - | - | - | - | - | 78.4% | 71.8% | 67.2% | 68.4% |
| Telugu-MTG | Raw text | 99.8% | 97.6% | 90.5% | 90.5% | 98.7% | 90.5% | - | 87.7% | 76.2% | 65.6% | 70.2% |
| Telugu-MTG | Gold tok | - | - | 90.6% | 90.6% | 98.9% | 90.6% | - | 88.3% | 76.8% | 66.2% | 70.8% |
| Telugu-MTG | Gold tok+mor | - | - | - | - | - | - | - | 91.4% | 82.2% | 76.8% | 77.1% |
| Turkish-IMST | Raw text | 98.3% | 96.4% | 91.7% | 90.7% | 88.4% | 86.1% | 90.0% | 61.5% | 54.6% | 44.8% | 46.2% |
| Turkish-IMST | Gold tok | - | - | 93.1% | 92.1% | 89.8% | 87.4% | 91.4% | 64.1% | 56.9% | 46.1% | 47.6% |
| Turkish-IMST | Gold tok+mor | - | - | - | - | - | - | - | 65.6% | 60.3% | 55.1% | 56.7% |
| Ukrainian-IU | Raw text | 99.8% | 97.2% | 95.0% | 84.1% | 84.3% | 83.3% | 93.5% | 79.9% | 75.2% | 57.8% | 64.7% |
| Ukrainian-IU | Gold tok | - | - | 95.2% | 84.2% | 84.4% | 83.4% | 93.7% | 80.2% | 75.6% | 58.0% | 65.0% |
| Ukrainian-IU | Gold tok+mor | - | - | - | - | - | - | - | 85.0% | 82.9% | 78.8% | 79.4% |
| Urdu-UDTB | Raw text | 100.0% | 98.3% | 92.1% | 89.9% | 80.8% | 76.2% | 93.0% | 84.1% | 77.3% | 50.5% | 64.0% |
| Urdu-UDTB | Gold tok | - | - | 92.2% | 89.9% | 80.8% | 76.2% | 93.0% | 84.2% | 77.4% | 50.5% | 64.0% |
| Urdu-UDTB | Gold tok+mor | - | - | - | - | - | - | - | 87.8% | 82.5% | 74.3% | 76.0% |
| Uyghur-UDT | Raw text | 99.7% | 82.9% | 87.9% | 90.0% | 84.1% | 76.3% | 91.9% | 70.8% | 56.7% | 37.4% | 44.1% |
| Uyghur-UDT | Gold tok | - | - | 88.2% | 90.3% | 84.4% | 76.6% | 92.2% | 72.0% | 57.9% | 38.0% | 44.9% |
| Uyghur-UDT | Gold tok+mor | - | - | - | - | - | - | - | 74.4% | 61.1% | 50.3% | 52.6% |
| Vietnamese-VTB | Raw text | 85.4% | 93.7% | 76.2% | 74.1% | 85.1% | 74.1% | 84.7% | 45.9% | 40.8% | 34.7% | 36.8% |
| Vietnamese-VTB | Gold tok | - | - | 87.6% | 85.0% | 99.5% | 84.9% | 98.9% | 62.6% | 54.5% | 48.2% | 50.8% |
| Vietnamese-VTB | Gold tok+mor | - | - | - | - | - | - | - | 69.4% | 66.3% | 62.9% | 65.2% |