github explosion/spacy-models ja_core_news_sm-3.8.0

Downloads Downloads (wheel)

Checksum .tar.gz: 856f0e15da5d2151626222b10d3b224d315079ae121e8ed940a3d1bfc3a4a314
Checksum .whl: 65693016b7cf33ffa845af3523a9c9b8d9aabae85dfc2e46731513a5e03def04

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

Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler.

Feature Description
Name ja_core_news_sm
Version 3.8.0
spaCy >=3.8.0,<3.9.0
Default Pipeline tok2vec, morphologizer, parser, attribute_ruler, ner
Components tok2vec, morphologizer, parser, senter, 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)
License CC BY-SA 4.0
Author Explosion
Model size 11 MB

Label Scheme

View label scheme (65 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=SPACE, 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 96.23
MORPH_ACC 0.00
MORPH_MICRO_P 34.01
MORPH_MICRO_R 98.04
MORPH_MICRO_F 50.51
SENTS_P 99.02
SENTS_R 99.21
SENTS_F 99.11
DEP_UAS 92.01
DEP_LAS 90.54
TAG_ACC 97.12
LEMMA_ACC 96.68
ENTS_P 67.43
ENTS_R 55.47
ENTS_F 60.87

Installation

pip install spacy
python -m spacy download ja_core_news_sm

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