EC2 Default User commited on
Commit
75ac440
1 Parent(s): f59cd4d

Update spaCy pipeline

Browse files
LICENSES_SOURCES CHANGED
@@ -502,24 +502,6 @@ END OF TERMS AND CONDITIONS```
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- # PoliMorf
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-
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- * Author: Woliński, Marcin; Miłkowski, Marcin; Ogrodniczuk, Maciej; Przepiórkowski, Adam; Szałkiewicz, Lukasz
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- * URL: http://zil.ipipan.waw.pl/PoliMorf
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- * License: BSD-2-Clause
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-
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- ```
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- Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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-
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- 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
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-
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- 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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-
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- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.```
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  # Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)
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  * Author: Explosion
 
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  # Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)
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  * Author: Explosion
README.md CHANGED
The diff for this file is too large to render. See raw diff
 
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166
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190
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195
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197
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198
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240
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245
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249
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254
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255
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260
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262
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264
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265
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269
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270
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274
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275
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279
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280
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281
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284
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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295
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296
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297
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299
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300
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302
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304
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305
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306
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307
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308
  },
309
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310
+ "p": 0.25,
311
  "r": 0.25,
312
+ "f": 0.25
 
 
 
 
 
313
  },
314
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315
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316
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317
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318
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319
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320
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321
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322
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323
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324
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325
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326
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327
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329
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330
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331
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332
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334
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335
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336
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337
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339
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340
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341
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342
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343
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344
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345
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347
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349
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350
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351
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354
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355
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356
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357
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359
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360
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361
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362
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363
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364
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365
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367
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369
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370
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371
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372
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374
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375
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376
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378
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379
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380
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381
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382
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383
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384
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385
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386
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387
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388
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389
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390
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391
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392
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393
  },
394
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395
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396
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397
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398
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399
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400
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404
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408
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410
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411
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412
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413
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414
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415
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416
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417
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418
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419
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420
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421
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422
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423
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424
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425
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427
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429
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430
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432
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433
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434
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435
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436
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437
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439
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440
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441
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442
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443
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444
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445
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446
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448
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449
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450
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451
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452
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454
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455
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458
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459
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460
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461
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462
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  },
 
 
 
 
 
464
  "xcomp:subj": {
465
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466
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467
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468
  },
469
+ "orphan": {
470
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471
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472
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473
+ },
474
  "discourse:intj": {
475
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476
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478
  },
479
  "xcomp:cleft": {
480
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481
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482
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483
  },
484
  "obl:orphan": {
485
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487
  "f": 0.0
488
  }
489
  },
490
+ "lemma_acc": 0.936633922,
491
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492
+ "ents_p": 0.838878017,
493
+ "ents_r": 0.8196303378,
494
+ "ents_f": 0.8291424887,
495
+ "ents_per_type": {
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503
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504
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505
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510
+ },
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+ "f": 0.8832913518
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+ },
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523
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524
+ "f": 0.6387434555
525
+ }
526
+ },
527
+ "speed": 6897.3516796902
528
  }
attribute_ruler/patterns CHANGED
Binary files a/attribute_ruler/patterns and b/attribute_ruler/patterns differ
 
config.cfg CHANGED
@@ -10,7 +10,7 @@ seed = 0
10
 
11
  [nlp]
12
  lang = "pl"
13
- pipeline = ["tok2vec","morphologizer","parser","tagger","senter","attribute_ruler","lemmatizer","ner"]
14
  disabled = ["senter"]
15
  before_creation = null
16
  after_creation = null
@@ -26,11 +26,22 @@ scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
26
  validate = false
27
 
28
  [components.lemmatizer]
29
- factory = "lemmatizer"
30
- mode = "pos_lookup"
31
- model = null
32
  overwrite = false
33
  scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
 
 
 
 
 
 
 
 
 
 
 
34
 
35
  [components.morphologizer]
36
  factory = "morphologizer"
@@ -39,8 +50,9 @@ overwrite = true
39
  scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
40
 
41
  [components.morphologizer.model]
42
- @architectures = "spacy.Tagger.v1"
43
  nO = null
 
44
 
45
  [components.morphologizer.model.tok2vec]
46
  @architectures = "spacy.Tok2VecListener.v1"
@@ -70,7 +82,7 @@ nO = null
70
  @architectures = "spacy.MultiHashEmbed.v2"
71
  width = 96
72
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
73
- rows = [5000,2500,2500,2500,100]
74
  include_static_vectors = true
75
 
76
  [components.ner.model.tok2vec.encode]
@@ -108,8 +120,9 @@ overwrite = false
108
  scorer = {"@scorers":"spacy.senter_scorer.v1"}
109
 
110
  [components.senter.model]
111
- @architectures = "spacy.Tagger.v1"
112
  nO = null
 
113
 
114
  [components.senter.model.tok2vec]
115
  @architectures = "spacy.Tok2Vec.v2"
@@ -130,12 +143,14 @@ maxout_pieces = 2
130
 
131
  [components.tagger]
132
  factory = "tagger"
 
133
  overwrite = false
134
  scorer = {"@scorers":"spacy.tagger_scorer.v1"}
135
 
136
  [components.tagger.model]
137
- @architectures = "spacy.Tagger.v1"
138
  nO = null
 
139
 
140
  [components.tagger.model.tok2vec]
141
  @architectures = "spacy.Tok2Vec.v2"
@@ -144,7 +159,7 @@ nO = null
144
  @architectures = "spacy.MultiHashEmbed.v2"
145
  width = 96
146
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
147
- rows = [5000,2500,2500,2500,100]
148
  include_static_vectors = true
149
 
150
  [components.tagger.model.tok2vec.encode]
@@ -164,7 +179,7 @@ factory = "tok2vec"
164
  @architectures = "spacy.MultiHashEmbed.v2"
165
  width = ${components.tok2vec.model.encode:width}
166
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
167
- rows = [5000,2500,2500,2500,100]
168
  include_static_vectors = true
169
 
170
  [components.tok2vec.model.encode]
@@ -201,7 +216,7 @@ dropout = 0.1
201
  accumulate_gradient = 1
202
  patience = 5000
203
  max_epochs = 0
204
- max_steps = 0
205
  eval_frequency = 1000
206
  frozen_components = []
207
  before_to_disk = null
@@ -236,18 +251,18 @@ eps = 0.00000001
236
  learn_rate = 0.001
237
 
238
  [training.score_weights]
239
- pos_acc = 0.06
240
- morph_acc = 0.05
241
  morph_per_feat = null
242
  dep_uas = 0.0
243
- dep_las = 0.16
244
  dep_las_per_type = null
245
  sents_p = null
246
  sents_r = null
247
- sents_f = 0.02
248
- tag_acc = 0.06
249
- lemma_acc = 0.5
250
- ents_f = 0.16
251
  ents_p = 0.0
252
  ents_r = 0.0
253
  ents_per_type = null
@@ -264,6 +279,13 @@ after_init = null
264
 
265
  [initialize.components]
266
 
 
 
 
 
 
 
 
267
  [initialize.components.morphologizer]
268
 
269
  [initialize.components.morphologizer.labels]
 
10
 
11
  [nlp]
12
  lang = "pl"
13
+ pipeline = ["tok2vec","morphologizer","parser","lemmatizer","tagger","senter","attribute_ruler","ner"]
14
  disabled = ["senter"]
15
  before_creation = null
16
  after_creation = null
 
26
  validate = false
27
 
28
  [components.lemmatizer]
29
+ factory = "trainable_lemmatizer"
30
+ backoff = "orth"
31
+ min_tree_freq = 3
32
  overwrite = false
33
  scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
34
+ top_k = 1
35
+
36
+ [components.lemmatizer.model]
37
+ @architectures = "spacy.Tagger.v2"
38
+ nO = null
39
+ normalize = false
40
+
41
+ [components.lemmatizer.model.tok2vec]
42
+ @architectures = "spacy.Tok2VecListener.v1"
43
+ width = ${components.tok2vec.model.encode:width}
44
+ upstream = "tok2vec"
45
 
46
  [components.morphologizer]
47
  factory = "morphologizer"
 
50
  scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
51
 
52
  [components.morphologizer.model]
53
+ @architectures = "spacy.Tagger.v2"
54
  nO = null
55
+ normalize = false
56
 
57
  [components.morphologizer.model.tok2vec]
58
  @architectures = "spacy.Tok2VecListener.v1"
 
82
  @architectures = "spacy.MultiHashEmbed.v2"
83
  width = 96
84
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
85
+ rows = [5000,1000,2500,2500,50]
86
  include_static_vectors = true
87
 
88
  [components.ner.model.tok2vec.encode]
 
120
  scorer = {"@scorers":"spacy.senter_scorer.v1"}
121
 
122
  [components.senter.model]
123
+ @architectures = "spacy.Tagger.v2"
124
  nO = null
125
+ normalize = false
126
 
127
  [components.senter.model.tok2vec]
128
  @architectures = "spacy.Tok2Vec.v2"
 
143
 
144
  [components.tagger]
145
  factory = "tagger"
146
+ neg_prefix = "!"
147
  overwrite = false
148
  scorer = {"@scorers":"spacy.tagger_scorer.v1"}
149
 
150
  [components.tagger.model]
151
+ @architectures = "spacy.Tagger.v2"
152
  nO = null
153
+ normalize = false
154
 
155
  [components.tagger.model.tok2vec]
156
  @architectures = "spacy.Tok2Vec.v2"
 
159
  @architectures = "spacy.MultiHashEmbed.v2"
160
  width = 96
161
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
162
+ rows = [5000,1000,2500,2500,50]
163
  include_static_vectors = true
164
 
165
  [components.tagger.model.tok2vec.encode]
 
179
  @architectures = "spacy.MultiHashEmbed.v2"
180
  width = ${components.tok2vec.model.encode:width}
181
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
182
+ rows = [5000,1000,2500,2500,50]
183
  include_static_vectors = true
184
 
185
  [components.tok2vec.model.encode]
 
216
  accumulate_gradient = 1
217
  patience = 5000
218
  max_epochs = 0
219
+ max_steps = 100000
220
  eval_frequency = 1000
221
  frozen_components = []
222
  before_to_disk = null
 
251
  learn_rate = 0.001
252
 
253
  [training.score_weights]
254
+ pos_acc = 0.1
255
+ morph_acc = 0.09
256
  morph_per_feat = null
257
  dep_uas = 0.0
258
+ dep_las = 0.29
259
  dep_las_per_type = null
260
  sents_p = null
261
  sents_r = null
262
+ sents_f = 0.04
263
+ lemma_acc = 0.1
264
+ tag_acc = 0.1
265
+ ents_f = 0.29
266
  ents_p = 0.0
267
  ents_r = 0.0
268
  ents_per_type = null
 
279
 
280
  [initialize.components]
281
 
282
+ [initialize.components.lemmatizer]
283
+
284
+ [initialize.components.lemmatizer.labels]
285
+ @readers = "spacy.read_labels.v1"
286
+ path = "corpus/labels/trainable_lemmatizer.json"
287
+ require = false
288
+
289
  [initialize.components.morphologizer]
290
 
291
  [initialize.components.morphologizer.labels]
lemmatizer/cfg ADDED
@@ -0,0 +1,2163 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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1787
  "performance":{
1788
- "sents_p":0.9663789187,
1789
- "sents_r":0.9602708804,
1790
- "sents_f":0.9633152174,
1791
- "tag_acc":0.9828059265,
1792
- "speed":5960.0003423793,
1793
- "ents_p":0.8332268371,
1794
- "ents_r":0.8311026131,
1795
- "ents_f":0.8321633695,
1796
- "ents_per_type":{
1797
- "placeName":{
1798
- "p":0.0,
1799
- "r":0.0,
1800
- "f":0.0
1801
- },
1802
- "orgName":{
1803
- "p":0.0,
1804
- "r":0.0,
1805
- "f":0.0
1806
- },
1807
- "persName":{
1808
- "p":0.0,
1809
- "r":0.0,
1810
- "f":0.0
1811
- },
1812
- "geogName":{
1813
- "p":0.0,
1814
- "r":0.0,
1815
- "f":0.0
1816
- },
1817
- "date":{
1818
- "p":0.0,
1819
- "r":0.0,
1820
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1821
- },
1822
- "time":{
1823
- "p":0.0,
1824
- "r":0.0,
1825
- "f":0.0
1826
- }
1827
- },
1828
  "token_acc":0.9998840378,
1829
  "token_p":0.99628964,
1830
  "token_r":0.9982863284,
1831
  "token_f":0.9972869848,
1832
- "pos_acc":0.9769123541,
1833
- "morph_acc":0.8965857624,
1834
- "morph_micro_p":0.9506593327,
1835
- "morph_micro_r":0.947398036,
1836
- "morph_micro_f":0.9490258825,
1837
  "morph_per_feat":{
1838
  "Case":{
1839
- "p":0.9172701057,
1840
- "r":0.9169762972,
1841
- "f":0.917123178
1842
  },
1843
  "Gender":{
1844
- "p":0.9303129762,
1845
- "r":0.9302039381,
1846
- "f":0.930258454
1847
  },
1848
  "Number":{
1849
- "p":0.9768552535,
1850
- "r":0.9751152557,
1851
- "f":0.9759844791
1852
  },
1853
  "AdpType":{
1854
- "p":0.9994666667,
1855
- "r":0.9989339019,
1856
- "f":0.9992002133
1857
  },
1858
  "Variant":{
1859
- "p":0.9955914769,
1860
- "r":0.9963235294,
1861
- "f":0.9959573686
1862
  },
1863
  "Animacy":{
1864
- "p":0.8815052995,
1865
- "r":0.883926439,
1866
- "f":0.8827142091
1867
  },
1868
  "Degree":{
1869
- "p":0.9321266968,
1870
- "r":0.9509521062,
1871
- "f":0.9414453013
1872
  },
1873
  "Aspect":{
1874
- "p":0.9143548687,
1875
- "r":0.9017627617,
1876
- "f":0.9080151613
1877
  },
1878
  "Mood":{
1879
- "p":0.9855382967,
1880
- "r":0.9810717142,
1881
- "f":0.9832999332
1882
  },
1883
  "Person":{
1884
- "p":0.9857964153,
1885
- "r":0.9785162806,
1886
- "f":0.9821428571
1887
  },
1888
  "Tense":{
1889
- "p":0.9716609814,
1890
- "r":0.9683577406,
1891
- "f":0.9700065488
1892
  },
1893
  "VerbForm":{
1894
- "p":0.9698795181,
1895
- "r":0.9559193955,
1896
- "f":0.9628488583
1897
  },
1898
  "Voice":{
1899
- "p":0.9796547472,
1900
- "r":0.9663490776,
1901
- "f":0.9729564241
1902
  },
1903
  "PunctType":{
1904
- "p":0.9987807002,
1905
- "r":0.9975643702,
1906
- "f":0.9981721647
1907
  },
1908
  "NumForm":{
1909
- "p":0.9836400818,
1910
- "r":0.9756592292,
1911
- "f":0.9796334012
1912
  },
1913
  "PrepCase":{
1914
- "p":0.987745098,
1915
  "r":0.9664268585,
1916
- "f":0.976969697
1917
  },
1918
  "PronType":{
1919
- "p":0.9699858757,
1920
- "r":0.9591480447,
1921
- "f":0.9645365169
1922
  },
1923
  "Reflex":{
1924
- "p":0.997260274,
1925
- "r":1.0,
1926
- "f":0.9986282579
1927
  },
1928
  "NumType":{
1929
- "p":0.9300518135,
1930
  "r":0.8820638821,
1931
- "f":0.9054224464
1932
  },
1933
  "Polarity":{
1934
- "p":0.9140794224,
1935
- "r":0.8707015131,
1936
- "f":0.8918633322
1937
  },
1938
  "Hyph":{
1939
- "p":0.9705882353,
1940
  "r":1.0,
1941
- "f":0.9850746269
1942
  },
1943
  "VerbType":{
1944
- "p":0.9391891892,
1945
- "r":0.9025974026,
1946
- "f":0.9205298013
1947
  },
1948
  "ConjType":{
1949
- "p":0.9597315436,
1950
- "r":0.9470198675,
1951
- "f":0.9533333333
1952
  },
1953
  "Clitic":{
1954
- "p":0.966507177,
1955
- "r":0.9950738916,
1956
- "f":0.9805825243
1957
  },
1958
  "Poss":{
1959
  "p":0.9941176471,
@@ -1962,33 +1915,33 @@
1962
  },
1963
  "Number[psor]":{
1964
  "p":1.0,
1965
- "r":0.9705882353,
1966
- "f":0.9850746269
1967
  },
1968
  "PartType":{
1969
- "p":0.9375,
1970
- "r":0.8955223881,
1971
- "f":0.9160305344
1972
  },
1973
  "Abbr":{
1974
- "p":0.9170731707,
1975
- "r":0.9215686275,
1976
- "f":0.9193154034
1977
  },
1978
  "Pun":{
1979
- "p":0.9107142857,
1980
- "r":0.8895348837,
1981
- "f":0.9
1982
  },
1983
  "PunctSide":{
1984
  "p":1.0,
1985
- "r":0.975,
1986
- "f":0.9873417722
1987
  },
1988
  "Foreign":{
1989
- "p":0.3636363636,
1990
- "r":0.6666666667,
1991
- "f":0.4705882353
1992
  },
1993
  "Emphatic":{
1994
  "p":1.0,
@@ -2001,178 +1954,171 @@
2001
  "f":0.0
2002
  }
2003
  },
2004
- "dep_uas":0.8913793704,
2005
- "dep_las":0.8172867474,
 
 
 
2006
  "dep_las_per_type":{
2007
  "nsubj":{
2008
- "p":0.8585510103,
2009
- "r":0.8623762376,
2010
- "f":0.8604593727
2011
  },
2012
  "case":{
2013
- "p":0.9688864629,
2014
- "r":0.9734027968,
2015
- "f":0.971139379
2016
  },
2017
  "amod":{
2018
- "p":0.8877640845,
2019
- "r":0.9048900852,
2020
- "f":0.8962452788
2021
  },
2022
  "nmod":{
2023
- "p":0.5599294947,
2024
- "r":0.591191067,
2025
- "f":0.5751357876
2026
  },
2027
  "cc":{
2028
- "p":0.8858800774,
2029
- "r":0.8919182084,
2030
- "f":0.8888888889
2031
  },
2032
  "conj":{
2033
- "p":0.6717267552,
2034
- "r":0.6896103896,
2035
- "f":0.6805511054
2036
  },
2037
  "root":{
2038
- "p":0.9382660009,
2039
- "r":0.9331828442,
2040
- "f":0.9357175192
2041
  },
2042
  "obl":{
2043
- "p":0.7158469945,
2044
- "r":0.7166301969,
2045
- "f":0.7162383816
2046
  },
2047
  "obl:arg":{
2048
- "p":0.6926121372,
2049
- "r":0.6169212691,
2050
- "f":0.6525792418
2051
  },
2052
  "nummod":{
2053
- "p":0.9071428571,
2054
- "r":0.9071428571,
2055
- "f":0.9071428571
2056
  },
2057
  "obj":{
2058
- "p":0.8234177215,
2059
- "r":0.8514397906,
2060
- "f":0.8371943372
2061
  },
2062
  "advcl":{
2063
- "p":0.7014084507,
2064
  "r":0.7196531792,
2065
- "f":0.7104136947
2066
  },
2067
  "iobj":{
2068
- "p":0.7719594595,
2069
- "r":0.7107309487,
2070
- "f":0.7400809717
2071
  },
2072
  "det:numgov":{
2073
- "p":1.0,
2074
- "r":0.8965517241,
2075
- "f":0.9454545455
2076
  },
2077
  "acl":{
2078
- "p":0.7599118943,
2079
- "r":0.7012195122,
2080
- "f":0.7293868922
2081
  },
2082
  "fixed":{
2083
- "p":0.8338108883,
2084
- "r":0.7578125,
2085
- "f":0.7939972715
2086
  },
2087
  "nummod:gov":{
2088
- "p":0.8454545455,
2089
- "r":0.8611111111,
2090
- "f":0.8532110092
2091
  },
2092
  "obl:agent":{
2093
- "p":0.8620689655,
2094
- "r":0.8196721311,
2095
- "f":0.8403361345
2096
  },
2097
  "expl:pv":{
2098
- "p":0.9768595041,
2099
- "r":0.985,
2100
- "f":0.9809128631
2101
  },
2102
  "nmod:arg":{
2103
- "p":0.6095965104,
2104
- "r":0.6417910448,
2105
- "f":0.6252796421
2106
  },
2107
  "advmod":{
2108
- "p":0.8358340688,
2109
- "r":0.8455357143,
2110
- "f":0.8406569019
2111
  },
2112
  "acl:relcl":{
2113
- "p":0.7543859649,
2114
- "r":0.7413793103,
2115
- "f":0.747826087
2116
  },
2117
  "advmod:emph":{
2118
- "p":0.6806722689,
2119
- "r":0.6721991701,
2120
- "f":0.6764091858
2121
  },
2122
  "mark":{
2123
- "p":0.8672316384,
2124
- "r":0.8709219858,
2125
- "f":0.8690728946
2126
  },
2127
  "ccomp:obj":{
2128
- "p":0.6785714286,
2129
  "r":0.6333333333,
2130
- "f":0.6551724138
2131
- },
2132
- "dep":{
2133
- "p":0.0,
2134
- "r":0.0,
2135
- "f":0.0
2136
  },
2137
  "advcl:relcl":{
2138
- "p":0.1666666667,
2139
  "r":0.25,
2140
- "f":0.2
2141
- },
2142
- "amod:flat":{
2143
- "p":0.7842105263,
2144
- "r":0.7883597884,
2145
- "f":0.7862796834
2146
  },
2147
  "xcomp":{
2148
- "p":0.9269406393,
2149
- "r":0.9144144144,
2150
- "f":0.9206349206
2151
  },
2152
  "advmod:neg":{
2153
- "p":0.9668508287,
2154
- "r":0.9668508287,
2155
- "f":0.9668508287
2156
  },
2157
  "det":{
2158
- "p":0.9162561576,
2159
- "r":0.8920863309,
2160
- "f":0.9040097205
2161
  },
2162
  "cop":{
2163
- "p":0.8805460751,
2164
- "r":0.8716216216,
2165
- "f":0.8760611205
2166
  },
2167
  "nsubj:pass":{
2168
- "p":0.8316831683,
2169
- "r":0.7706422018,
2170
- "f":0.8
2171
  },
2172
  "aux:pass":{
2173
- "p":0.9060402685,
2174
- "r":0.9375,
2175
- "f":0.9215017065
2176
  },
2177
  "aux:imp":{
2178
  "p":1.0,
@@ -2180,74 +2126,79 @@
2180
  "f":0.875
2181
  },
2182
  "advcl:cmpr":{
2183
- "p":0.4285714286,
2184
- "r":0.375,
2185
- "f":0.4
2186
  },
2187
  "obl:cmpr":{
2188
- "p":0.7575757576,
2189
- "r":0.5617977528,
2190
- "f":0.6451612903
2191
  },
2192
  "ccomp":{
2193
- "p":0.6525821596,
2194
- "r":0.6495327103,
2195
- "f":0.6510538642
2196
  },
2197
  "nmod:poss":{
2198
- "p":1.0,
2199
- "r":0.1666666667,
2200
- "f":0.2857142857
2201
  },
2202
  "parataxis:insert":{
2203
- "p":0.5443037975,
2204
- "r":0.4236453202,
2205
- "f":0.4764542936
2206
  },
2207
  "det:poss":{
2208
- "p":0.9880952381,
2209
  "r":0.9651162791,
2210
- "f":0.9764705882
 
 
 
 
 
2211
  },
2212
  "aux":{
2213
- "p":0.8495575221,
2214
- "r":0.880733945,
2215
- "f":0.8648648649
2216
  },
2217
  "cc:preconj":{
2218
- "p":0.5714285714,
2219
  "r":0.6153846154,
2220
- "f":0.5925925926
2221
- },
2222
- "xcomp:pred":{
2223
- "p":0.6428571429,
2224
- "r":0.6585365854,
2225
- "f":0.6506024096
2226
  },
2227
  "appos":{
2228
- "p":0.6147186147,
2229
- "r":0.5941422594,
2230
- "f":0.6042553191
2231
  },
2232
  "flat":{
2233
- "p":0.8509933775,
2234
- "r":0.8923611111,
2235
- "f":0.8711864407
 
 
 
 
 
2236
  },
2237
  "parataxis:obj":{
2238
- "p":0.7412935323,
2239
- "r":0.7720207254,
2240
- "f":0.7563451777
2241
  },
2242
  "vocative":{
2243
- "p":0.5416666667,
2244
- "r":0.4642857143,
2245
- "f":0.5
2246
  },
2247
  "aux:cnd":{
2248
- "p":0.875,
2249
  "r":0.875,
2250
- "f":0.875
2251
  },
2252
  "advmod:arg":{
2253
  "p":0.0,
@@ -2255,45 +2206,50 @@
2255
  "f":0.0
2256
  },
2257
  "csubj":{
2258
- "p":0.8125,
2259
- "r":0.5909090909,
2260
- "f":0.6842105263
 
 
 
 
 
2261
  },
2262
  "list":{
2263
- "p":0.7142857143,
2264
- "r":0.641025641,
2265
- "f":0.6756756757
2266
  },
2267
  "nmod:flat":{
2268
- "p":0.8636363636,
2269
- "r":0.7125,
2270
- "f":0.7808219178
2271
  },
2272
- "orphan":{
2273
- "p":0.0,
2274
- "r":0.0,
2275
- "f":0.0
2276
  },
2277
  "det:nummod":{
2278
- "p":1.0,
2279
  "r":1.0,
2280
- "f":1.0
2281
  },
2282
  "nmod:pred":{
2283
  "p":0.0,
2284
  "r":0.0,
2285
  "f":0.0
2286
  },
2287
- "ccomp:cleft":{
2288
- "p":0.8,
2289
- "r":0.9411764706,
2290
- "f":0.8648648649
2291
- },
2292
  "xcomp:subj":{
2293
  "p":0.0,
2294
  "r":0.0,
2295
  "f":0.0
2296
  },
 
 
 
 
 
2297
  "discourse:intj":{
2298
  "p":0.3333333333,
2299
  "r":0.2222222222,
@@ -2301,8 +2257,8 @@
2301
  },
2302
  "xcomp:cleft":{
2303
  "p":1.0,
2304
- "r":1.0,
2305
- "f":1.0
2306
  },
2307
  "obl:orphan":{
2308
  "p":0.0,
@@ -2310,7 +2266,44 @@
2310
  "f":0.0
2311
  }
2312
  },
2313
- "lemma_acc":0.8706705167
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2314
  },
2315
  "sources":[
2316
  {
@@ -2331,12 +2324,6 @@
2331
  "license":"GNU GPL 3.0",
2332
  "author":"Miros\u0142aw Ba\u0144ko, Rafa\u0142 L. G\u00f3rski, Barbara Lewandowska-Tomaszczyk, Marek \u0141azi\u0144ski, Piotr P\u0119zik, Adam Przepi\u00f3rkowski"
2333
  },
2334
- {
2335
- "name":"PoliMorf",
2336
- "url":"http://zil.ipipan.waw.pl/PoliMorf",
2337
- "license":"BSD-2-Clause",
2338
- "author":"Woli\u0144ski, Marcin; Mi\u0142kowski, Marcin; Ogrodniczuk, Maciej; Przepi\u00f3rkowski, Adam; Sza\u0142kiewicz, Lukasz"
2339
- },
2340
  {
2341
  "name":"Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)",
2342
  "url":"https://spacy.io",
 
1
  {
2
  "lang":"pl",
3
  "name":"core_news_md",
4
+ "version":"3.3.0",
5
+ "description":"Polish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, lemmatizer (trainable_lemmatizer), tagger, senter, ner.",
6
  "author":"Explosion",
7
  "email":"[email protected]",
8
  "url":"https://explosion.ai",
9
  "license":"GNU GPL 3.0",
10
+ "spacy_version":">=3.3.0.dev0,<3.4.0",
11
+ "spacy_git_version":"849bef2de",
12
  "vectors":{
13
  "width":300,
14
  "vectors":20000,
 
1743
  "WINIEN",
1744
  "XXX"
1745
  ],
 
 
 
 
1746
  "attribute_ruler":[
1747
 
 
 
 
1748
  ],
1749
  "ner":[
1750
  "date",
 
1759
  "tok2vec",
1760
  "morphologizer",
1761
  "parser",
1762
+ "lemmatizer",
1763
  "tagger",
1764
  "attribute_ruler",
 
1765
  "ner"
1766
  ],
1767
  "components":[
1768
  "tok2vec",
1769
  "morphologizer",
1770
  "parser",
1771
+ "lemmatizer",
1772
  "tagger",
1773
  "senter",
1774
  "attribute_ruler",
 
1775
  "ner"
1776
  ],
1777
  "disabled":[
1778
  "senter"
1779
  ],
1780
  "performance":{
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1781
  "token_acc":0.9998840378,
1782
  "token_p":0.99628964,
1783
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