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avidale committed Nov 16, 2023
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LASER is a library to calculate and use multilingual sentence embeddings.

**NEWS**
* 2023/11/16 Released [**laser_encoders**](laser_encoders), a compact pip-installable package supporting LASER-2 and LASER-3 models
* 2023/11/16 Released [**laser_encoders**](laser_encoders), a pip-installable package supporting LASER-2 and LASER-3 models
* 2023/06/26 [**xSIM++**](https://arxiv.org/abs/2306.12907) evaluation pipeline and data [**released**](tasks/xsimplusplus/README.md)
* 2022/07/06 Updated LASER models with support for over 200 languages are [**now available**](nllb/README.md)
* 2022/07/06 Multilingual similarity search (**xsim**) evaluation pipeline [**released**](tasks/xsim/README.md)
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A detailed description of how the multilingual sentence embeddings are trained can
be found [here](https://arxiv.org/abs/2205.12654), together with an experimental evaluation.

## The core embedding package: `laser_encoders`
## The core sentence embedding package: `laser_encoders`
We provide a package `laser_encoders` with minimal dependencies.
It supports LASER-2 (an updated signle encoder for the languages listed [below](#supported-languages))
and LASER-3 (147 language-specific encoders described [here](nllb/README.md)).
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