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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 3.7.2
spaCy >=3.7.0,<3.8.0
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

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 97.64
TOKEN_R 97.88
TOKEN_F 97.76
POS_ACC 97.94
MORPH_ACC 0.00
MORPH_MICRO_P 34.01
MORPH_MICRO_R 98.04
MORPH_MICRO_F 50.51
SENTS_P 93.18
SENTS_R 97.04
SENTS_F 95.07
DEP_UAS 93.05
DEP_LAS 91.78
TAG_ACC 97.13
LEMMA_ACC 96.70
ENTS_P 82.27
ENTS_R 84.65
ENTS_F 83.45
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Evaluation results