Update spacy requirement from <3.3,>=2.1.0 to >=2.1.0,<3.4

[dependabot[bot]]

Updates the requirements on spacy to permit the latest version.

Release notes

Sourced from spacy's releases.

v3.3.0: Improved speed, new trainable lemmatizer, and pipelines for Finnish, Korean and Swedish

✨ New features and improvements

• Improved speeds for many components, see speed benchmarks for trained pipelines:
  • Speed up parser and NER by using constant-time head lookups (#10048).
  • Support unnormalized softmax probabilities in spacy.Tagger.v2 to speed up inference for the tagger, morphologizer, senter and trainable lemmatizer (#10197).
  • Speed up parser projectivization functions (#10241).
  • Replace Ragged with faster AlignmentArray in Example for training (#10319).
  • Improve Matcher speed (#10659).
  • Improve serialization speed for empty Doc.spans (#10250).
• NEW: A trainable lemmatizer component that uses edit trees to transform tokens to lemmas. Add it to your config with spacy init config -p trainable_lemmatizer or using the quickstart.
• Language updates:
  • Initial support for Lower Sorbian and Upper Sorbian.
  • New noun chunks for Finnish.
  • Updated noun chunks for French, Italian and Spanish.
  • Additional updates for English, French, Italian, Japanese, Korean, Norwegian, Russian, Slovenian, Spanish, Turkish, Ukrainian and Vietnamese.
• Big endian support with thinc v8.0.14+ and thinc-bigendian-ops.
• Config comparisons with spacy debug diff-config.
• displaCy support for overlapping span annotation and multiple labeled arcs between the same tokens.
• SpanCategorizer.set_candidates for debugging span suggesters.
• The quickstart now supports adding spancat and trainable_lemmatizer components.

📦 Trained pipelines

v3.3 introduces trained pipelines for Finnish, Korean and Swedish which feature the trainable lemmatizer and floret vectors. Due to the use Bloom embeddings and subwords, the pipelines have compact vectors with no out-of-vocabulary words.

Package	Language	UPOS	Parser LAS	NER F
fi_core_news_sm	Finnish	92.5	71.9	75.9
fi_core_news_md	Finnish	95.9	78.6	80.6
fi_core_news_lg	Finnish	96.2	79.4	82.4
ko_core_news_sm	Korean	86.1	65.6	71.3
ko_core_news_md	Korean	94.7	80.9	83.1
ko_core_news_lg	Korean	94.7	81.3	85.3
sv_core_news_sm	Swedish	95.0	75.9	74.7
sv_core_news_md	Swedish	96.3	78.5	79.3
sv_core_news_lg	Swedish	96.3	79.1	81.1

🙏 Special thanks to @​aajanki, @​thiippal (Finnish) and Elena Fano (Swedish) for their help with the new pipelines!

The new trainable lemmatizer is used for Danish, Dutch, Finnish, German, Greek, Italian, Korean, Lithuanian, Norwegian, Polish, Portuguese, Romanian and Swedish.

Model	v3.2 Lemma Acc	v3.3 Lemma Acc
da_core_news_md	84.9	94.8
de_core_news_md	73.4	97.7
el_core_news_md	56.5	88.9
fi_core_news_md	-	86.2
it_core_news_md	86.6	97.2
ko_core_news_md	-	90.0

... (truncated)

Commits

• 497a708 Docs for v3.3 (#10628)
• 10377fb Set version to v3.3.0 (#10614)
• 3579507 Bumped black to 22.3.0 due to a fix for psf/black#2...
• c066fb8 #10672: fixes displacy output for manual unsorted entities (#10673)
• b3717ba removing print statements from the test suite (#10712)
• 455f089 Support exclude in Doc.from_docs (#10689)
• 3b20819 Fixed example for spacy_syllables (#10705)
• e075003 Auto-format code with black (#10687)
• 2c2dbb8 Syntax for a branch from a PR
• 29afbdb add readme for explosion-bot (#10677)
• Additional commits viewable in compare view

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