spaCy/website/meta/site.json
Adriane Boyd f42c9026f5
Update v2.3.x branch (#5636)
* 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>
2020-06-29 14:13:12 +02:00

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{
"title": "spaCy",
"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.",
"slogan": "Industrial-strength Natural Language Processing in Python",
"siteUrl": "https://spacy.io",
"email": "contact@explosion.ai",
"company": "Explosion AI",
"companyUrl": "https://explosion.ai",
"repo": "explosion/spaCy",
"modelsRepo": "explosion/spacy-models",
"social": {
"twitter": "spacy_io",
"github": "explosion"
},
"theme": "#09a3d5",
"analytics": "UA-58931649-1",
"newsletter": {
"user": "spacy.us12",
"id": "83b0498b1e7fa3c91ce68c3f1",
"list": "89ad33e698"
},
"docSearch": {
"apiKey": "371e26ed49d29a27bd36273dfdaf89af",
"indexName": "spacy"
},
"binderUrl": "explosion/spacy-io-binder",
"binderBranch": "live",
"binderVersion": "2.3.0",
"sections": [
{ "id": "usage", "title": "Usage Documentation", "theme": "blue" },
{ "id": "models", "title": "Models Documentation", "theme": "blue" },
{ "id": "api", "title": "API Documentation", "theme": "green" },
{ "id": "universe", "title": "Universe", "theme": "purple" }
],
"navigation": [
{ "text": "Usage", "url": "/usage" },
{ "text": "Models", "url": "/models" },
{ "text": "API", "url": "/api" },
{ "text": "Universe", "url": "/universe" }
],
"footer": [
{
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"items": [
{ "text": "Usage", "url": "/usage" },
{ "text": "Models", "url": "/models" },
{ "text": "API", "url": "/api" },
{ "text": "Universe", "url": "/universe" }
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},
{
"label": "Support",
"items": [
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{
"text": "Stack Overflow",
"url": "http://stackoverflow.com/questions/tagged/spacy"
},
{ "text": "Reddit User Group", "url": "https://www.reddit.com/r/spacynlp/" },
{ "text": "Gitter Chat", "url": "https://gitter.im/explosion/spaCy" }
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{ "text": "GitHub", "url": "https://github.com/explosion/spaCy" },
{ "text": "YouTube", "url": "https://youtube.com/c/ExplosionAI" },
{ "text": "Blog", "url": "https://explosion.ai/blog" }
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}
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}