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  - ru
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  tags:
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  - translation
 
 
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  inference: false
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  ---
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- # MTee Legal Domain Translation Model
 
 
 
 
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  Supported translation directions: `et-en`, `en-et`, `et-de`, `de-et`, `et-ru`, `ru-et`.
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  | Fairseq translation model | `modular_model.pt` |
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  | SentecePiece models | `sp-model.{lang}.model` |
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  | translation model vocabularies | `dict.{lang}.txt` |
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  - ru
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  tags:
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  - translation
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+ - modularNMT
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+ - fairseq
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  inference: false
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  ---
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+ # MTee translation model for military domain
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+ A military domain translation model for the MTee machine translation platform. The platform was developed in 2021 as a collaboration between the [TartuNLP](https://tartunlp.ai), the NLP research group at the University of Tartu, and [Tilde](https://tilde.com). More information about the project can be found [here](https://github.com/Project-MTee/mtee-platform/wiki).
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+ The model uses a modular architecture, where each language has its own encoder and decoder that is used for all translation directions. The model can be used with our custom version of [FairSeq](https://github.com/TartuNLP/fairseq) and it is compatible with the [MTee](https://github.com/Project-MTee) platform and its [NMT workers](https://github.com/Project-MTee/translation-worker). Additionally, it is fully compatible with TartuNLP's translation API components ([API](https://github.com/TartuNLP/translation-api) and [NMT workers](https://github.com/TartuNLP/translation-worker)).
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  Supported translation directions: `et-en`, `en-et`, `et-de`, `de-et`, `et-ru`, `ru-et`.
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  | Fairseq translation model | `modular_model.pt` |
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  | SentecePiece models | `sp-model.{lang}.model` |
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  | translation model vocabularies | `dict.{lang}.txt` |