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Update v2.2 page [ci skip]
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@ -11,12 +11,12 @@ menu:
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spaCy v2.2 features improved statistical models, new pretrained models for
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Norwegian and Lithuanian, better Dutch NER, as well as a new mechanism for
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storing language data that makes the installation about **7× smaller** on
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disk. We've also added a new class to efficiently **serialize annotations**, an
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improved and **10× faster** phrase matching engine, built-in scoring and
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**CLI training for text classification**, a new command to analyze and **debug
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training data**, data augmentation during training and more. For the full
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changelog, see the
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storing language data that makes the installation about **5-10× smaller**
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on disk. We've also added a new class to efficiently **serialize annotations**,
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an improved and **10× faster** phrase matching engine, built-in scoring
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and **CLI training for text classification**, a new command to analyze and
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**debug training data**, data augmentation during training and more. For the
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full changelog, see the
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[release notes on GitHub](https://github.com/explosion/spaCy/releases/tag/v2.2.0).
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<!-- For more details and a behind-the-scenes look at the new release,
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@ -127,10 +127,10 @@ checks. They're also fully serializable out-of-the-box. All large data resources
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like lemmatization tables have been moved to a separate package,
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[`spacy-lookups-data`](https://github.com/explosion/spacy-lookups-data) that can
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be installed alongside the core library. This allowed us to make the spaCy
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installation roughly **7× smaller on disk**. [Pretrained models](/models)
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now include their data files, so you only need to install the lookups if you
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want to build blank models or use lemmatization with languages that don't yet
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ship with pretrained models.
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installation **5-10× smaller on disk** (depending on your platform).
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[Pretrained models](/models) now include their data files, so you only need to
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install the lookups if you want to build blank models or use lemmatization with
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languages that don't yet ship with pretrained models.
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<Infobox>
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