github explosion/spacy-models ja_core_news_trf-3.8.0

Downloads Downloads (wheel)

Checksum .tar.gz: 13a188ce31db6b3187a12041e431244bc7a52e405125fa511522042a1d8191fe
Checksum .whl: 4c08436bb3b0792cd4fa3150b282a658ec66e2caf7a126901fc93c02afffa790

Details: https://spacy.io/models/ja#ja_core_news_trf

Japanese transformer pipeline (Transformer(name='cl-tohoku/bert-base-japanese-char-v2', piece_encoder='char', stride=160, type='bert', width=768, window=216, vocab_size=6144)). Components: transformer, morphologizer, parser, ner.

Feature Description
Name ja_core_news_trf
Version 3.8.0
spaCy >=3.8.0,<3.9.0
Default Pipeline transformer, morphologizer, parser, attribute_ruler, ner
Components transformer, morphologizer, parser, attribute_ruler, ner
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources UD Japanese GSD v2.8 (Omura, Mai; Miyao, Yusuke; Kanayama, Hiroshi; Matsuda, Hiroshi; Wakasa, Aya; Yamashita, Kayo; Asahara, Masayuki; Tanaka, Takaaki; Murawaki, Yugo; Matsumoto, Yuji; Mori, Shinsuke; Uematsu, Sumire; McDonald, Ryan; Nivre, Joakim; Zeman, Daniel)
UD Japanese GSD v2.8 NER (Megagon Labs Tokyo)
cl-tohoku/bert-base-japanese-char-v2 (Inui Laboratory, Tohoku University)
License CC BY-SA 3.0
Author Explosion
Model size 320 MB

Label Scheme

View label scheme (64 labels for 3 components)
Component Labels
morphologizer POS=NOUN, POS=ADP, POS=VERB, POS=SCONJ, POS=AUX, POS=PUNCT, POS=PART, POS=DET, POS=NUM, POS=ADV, POS=PRON, POS=ADJ, POS=PROPN, POS=CCONJ, POS=SYM, POS=NOUN|Polarity=Neg, POS=AUX|Polarity=Neg, POS=INTJ, POS=SCONJ|Polarity=Neg
parser ROOT, acl, advcl, advmod, amod, aux, case, cc, ccomp, compound, cop, csubj, dep, det, dislocated, fixed, mark, nmod, nsubj, nummod, obj, obl, punct
ner CARDINAL, DATE, EVENT, FAC, GPE, LANGUAGE, LAW, LOC, MONEY, MOVEMENT, NORP, ORDINAL, ORG, PERCENT, PERSON, PET_NAME, PHONE, PRODUCT, QUANTITY, TIME, TITLE_AFFIX, WORK_OF_ART

Accuracy

Type Score
TOKEN_ACC 99.37
TOKEN_P 97.61
TOKEN_R 97.87
TOKEN_F 97.74
POS_ACC 97.99
MORPH_ACC 0.00
MORPH_MICRO_P 34.01
MORPH_MICRO_R 98.04
MORPH_MICRO_F 50.51
SENTS_P 93.40
SENTS_R 97.63
SENTS_F 95.47
DEP_UAS 93.03
DEP_LAS 91.95
TAG_ACC 97.12
LEMMA_ACC 96.68
ENTS_P 84.53
ENTS_R 81.76
ENTS_F 83.12

Installation

pip install spacy
python -m spacy download ja_core_news_trf

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