mirror of
https://github.com/explosion/spaCy.git
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* Fix typos and auto-format [ci skip] * Add pkuseg warnings and auto-format [ci skip] * Update Binder URL [ci skip] * Update Binder version [ci skip] * Update alignment example for new gold.align * Update POS in tagging example * Fix numpy.zeros() dtype for Doc.from_array * Change example title to Dr. Change example title to Dr. so the current model does exclude the title in the initial example. * Fix spacy convert argument * Warning for sudachipy 0.4.5 (#5611) * Create myavrum.md (#5612) * Update lex_attrs.py (#5608) * Create mahnerak.md (#5615) * Some changes for Armenian (#5616) * Fixing numericals * We need a Armenian question sign to make the sentence a question * Add Nepali Language (#5622) * added support for nepali lang * added examples and test files * added spacy contributor agreement * Japanese model: add user_dict entries and small refactor (#5573) * user_dict fields: adding inflections, reading_forms, sub_tokens deleting: unidic_tags improve code readability around the token alignment procedure * add test cases, replace fugashi with sudachipy in conftest * move bunsetu.py to spaCy Universe as a pipeline component BunsetuRecognizer * tag is space -> both surface and tag are spaces * consider len(text)==0 * Add warnings example in v2.3 migration guide (#5627) * contribute (#5632) * Fix polarity of Token.is_oov and Lexeme.is_oov (#5634) Fix `Token.is_oov` and `Lexeme.is_oov` so they return `True` when the lexeme does **not** have a vector. * Extend what's new in v2.3 with vocab / is_oov (#5635) * Skip vocab in component config overrides (#5624) * Fix backslashes in warnings config diff (#5640) Fix backslashes in warnings config diff in v2.3 migration section. * Disregard special tag _SP in check for new tag map (#5641) * Skip special tag _SP in check for new tag map In `Tagger.begin_training()` check for new tags aside from `_SP` in the new tag map initialized from the provided gold tuples when determining whether to reinitialize the morphology with the new tag map. * Simplify _SP check Co-authored-by: Ines Montani <ines@ines.io> Co-authored-by: Marat M. Yavrumyan <myavrum@ysu.am> Co-authored-by: Karen Hambardzumyan <mahnerak@gmail.com> Co-authored-by: Rameshh <30867740+rameshhpathak@users.noreply.github.com> Co-authored-by: Hiroshi Matsuda <40782025+hiroshi-matsuda-rit@users.noreply.github.com> Co-authored-by: Richard Liaw <rliaw@berkeley.edu>
74 lines
2.7 KiB
JSON
74 lines
2.7 KiB
JSON
{
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"title": "spaCy",
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"description": "spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.",
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"slogan": "Industrial-strength Natural Language Processing in Python",
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"siteUrl": "https://spacy.io",
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"email": "contact@explosion.ai",
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"company": "Explosion AI",
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"companyUrl": "https://explosion.ai",
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"repo": "explosion/spaCy",
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"modelsRepo": "explosion/spacy-models",
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"social": {
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"twitter": "spacy_io",
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"github": "explosion"
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},
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"theme": "#09a3d5",
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"analytics": "UA-58931649-1",
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"newsletter": {
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"user": "spacy.us12",
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"id": "83b0498b1e7fa3c91ce68c3f1",
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"list": "89ad33e698"
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},
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"docSearch": {
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"apiKey": "371e26ed49d29a27bd36273dfdaf89af",
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"indexName": "spacy"
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},
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"binderUrl": "explosion/spacy-io-binder",
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"binderBranch": "live",
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"binderVersion": "2.3.0",
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"sections": [
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{ "id": "usage", "title": "Usage Documentation", "theme": "blue" },
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{ "id": "models", "title": "Models Documentation", "theme": "blue" },
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{ "id": "api", "title": "API Documentation", "theme": "green" },
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{ "id": "universe", "title": "Universe", "theme": "purple" }
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],
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"navigation": [
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{ "text": "Usage", "url": "/usage" },
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{ "text": "Models", "url": "/models" },
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{ "text": "API", "url": "/api" },
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{ "text": "Universe", "url": "/universe" }
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],
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"footer": [
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{
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"label": "spaCy",
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"items": [
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{ "text": "Usage", "url": "/usage" },
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{ "text": "Models", "url": "/models" },
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{ "text": "API", "url": "/api" },
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{ "text": "Universe", "url": "/universe" }
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]
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},
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{
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"label": "Support",
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"items": [
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{ "text": "Issue Tracker", "url": "https://github.com/explosion/spaCy/issues" },
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{
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"text": "Stack Overflow",
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"url": "http://stackoverflow.com/questions/tagged/spacy"
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},
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{ "text": "Reddit User Group", "url": "https://www.reddit.com/r/spacynlp/" },
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{ "text": "Gitter Chat", "url": "https://gitter.im/explosion/spaCy" }
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]
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},
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{
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"label": "Connect",
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"items": [
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{ "text": "Twitter", "url": "https://twitter.com/spacy_io" },
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{ "text": "GitHub", "url": "https://github.com/explosion/spaCy" },
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{ "text": "YouTube", "url": "https://youtube.com/c/ExplosionAI" },
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{ "text": "Blog", "url": "https://explosion.ai/blog" }
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]
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}
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]
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}
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