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Update README.md [ci skip]
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README.md
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README.md
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@ -7,10 +7,10 @@ Cython. It's built on the very latest research, and was designed from day one to
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be used in real products.
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spaCy comes with
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[pretrained pipelines](https://spacy.io/models) and vectors, and
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currently supports tokenization for **60+ languages**. It features
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state-of-the-art speed, convolutional **neural network models** for tagging,
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parsing, **named entity recognition**, **text classification** and more, multi-task learning with pretrained **transformers** like BERT, as well as a production-ready training system and easy model packaging, deployment and workflow management.
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[pretrained pipelines](https://spacy.io/models) and embeddings, and
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currently supports tokenization and training for **60+ languages**. It features
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state-of-the-art speed and **neural network models** for tagging,
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parsing, **named entity recognition**, **text classification** and more, multi-task learning with pretrained **transformers** like BERT, as well as a production-ready [training system](https://spacy.io/usage/training) and easy model packaging, deployment and workflow management.
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spaCy is commercial open-source software, released under the MIT license.
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💫 **Version 3.0 (nightly) out now!**
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@ -21,10 +21,10 @@ spaCy is commercial open-source software, released under the MIT license.
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[](https://pypi.org/project/spacy/)
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[](https://anaconda.org/conda-forge/spacy)
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[](https://github.com/explosion/wheelwright/releases)
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[](https://github.com/ambv/black)
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[](https://pypi.org/project/spacy/)
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[](https://anaconda.org/conda-forge/spacy)
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[](https://github.com/explosion/spacy-models/releases)
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[](https://github.com/ambv/black)
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[](https://twitter.com/spacy_io)
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## 📖 Documentation
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@ -74,9 +74,9 @@ it.
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## Features
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- Support for **60+ languages**
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- **Trained pipelines**
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- **Trained pipelines** for different languages and tasks
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- Multi-task learning with pretrained **transformers** like BERT
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- Pretrained **word vectors**
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- Support for pretrained **word vectors** and embedings
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- State-of-the-art speed
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- Production-ready **training system**
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- Linguistically-motivated **tokenization**
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