mirror of https://github.com/explosion/spaCy.git
Update languages and version in README and website (#11694)
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@ -8,7 +8,7 @@ be used in real products.
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spaCy comes with
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[pretrained pipelines](https://spacy.io/models) and
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currently supports tokenization and training for **60+ languages**. It features
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currently supports tokenization and training for **70+ 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,
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multi-task learning with pretrained **transformers** like BERT, as well as a
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@ -16,7 +16,7 @@ production-ready [**training system**](https://spacy.io/usage/training) and easy
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model packaging, deployment and workflow management. spaCy is commercial
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open-source software, released under the MIT license.
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💫 **Version 3.4.0 out now!**
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💫 **Version 3.4 out now!**
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[Check out the release notes here.](https://github.com/explosion/spaCy/releases)
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[![Azure Pipelines](https://img.shields.io/azure-devops/build/explosion-ai/public/8/master.svg?logo=azure-pipelines&style=flat-square&label=build)](https://dev.azure.com/explosion-ai/public/_build?definitionId=8)
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@ -79,7 +79,7 @@ more people can benefit from it.
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## Features
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- Support for **60+ languages**
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- Support for **70+ languages**
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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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- Support for pretrained **word vectors** and embeddings
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@ -4,12 +4,22 @@
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"code": "af",
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"name": "Afrikaans"
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},
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{
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"code": "am",
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"name": "Amharic",
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"has_examples": true
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},
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{
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"code": "ar",
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"name": "Arabic",
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"example": "هذه جملة",
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"has_examples": true
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},
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{
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"code": "az",
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"name": "Azerbaijani",
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"has_examples": true
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},
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{
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"code": "bg",
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"name": "Bulgarian",
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@ -142,6 +152,11 @@
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"code": "ga",
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"name": "Irish"
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},
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{
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"code": "grc",
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"name": "Ancient Greek",
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"has_examples": true
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},
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{
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"code": "gu",
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"name": "Gujarati",
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@ -260,6 +275,10 @@
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"example": "Адамга эң кыйыны — күн сайын адам болуу",
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"has_examples": true
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},
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{
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"code": "la",
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"name": "Latin"
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},
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{
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"code": "lb",
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"name": "Luxembourgish",
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@ -448,6 +467,11 @@
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"example": "นี่คือประโยค",
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"has_examples": true
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},
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{
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"code": "ti",
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"name": "Tigrinya",
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"has_examples": true
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},
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{
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"code": "tl",
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"name": "Tagalog"
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