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explosion/spaCy: v3.3.0: Improved speed, new trainable lemmatizer, and pipelines for Finnish, Korean and Swedish ...
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explosion/spaCy: v3.3.0: Improved speed, new trainable lemmatizer, and pipelines for Finnish, Korean and Swedish ...
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3
explosion/spaCy: v3.2.0: Registered scoring functions, Doc input, floret vectors and more ...
Abstract: ✨ New features and improvements NEW: Registered scoring functions for each component in the config. NEW: nlp() and nlp.pipe() accept Doc input, which simplifies setting custom tokenization or extensions before processing. NEW: Support for floret vectors, which combine fastText subwords with Bloom embeddings for compact, full-coverage vectors. overwrite config settings for entity_linker , morphologizer , tagger , sentencizer and senter . extend config setting for morphologizer for whether existing feature types are preserved. Support for a wider range of language codes in spacy.blank() including IETF language tags, for example fra for French and zh-Hans for Chinese . New package spacy-loggers for additional loggers. New Irish lemmatizer. New Portuguese noun chunks and updated Spanish noun chunks. Language updates for Bulgarian, Catalan, Sinhala, Tagalog, Tigrinya and Vietnamese. Japanese reading and inflection from sudachipy are annotated as Token.morph features. Additional morph_micro_p/r/f scores for ...
URL: https://zenodo.org/record/5648257
https://dx.doi.org/10.5281/zenodo.5648257
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explosion/spaCy: v2.3.6: Bug fixes and base support for Amharic ...
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explosion/spaCy: v3.0.2: CLI overrides and env variables in projects, base support for Setswana, PhraseMatcher for spans and bug fixes ...
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6
explosion/spaCy: 3.1.1: Support for Ancient Greek and various bug fixes ...
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7
explosion/spaCy: v2.2.2: Multiprocessing, future APIs, Luxembourgish base support & simpler GPU install ...
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explosion/spaCy: v2.2.3: Tokenizer.explain, Korean base support, dependency scores per label and bug fixes ...
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