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  ## Description
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  MITRE (Multilingual Translation with Registers) is a multilingual, decoder-only model designed for many-to-many translation tasks.
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- The technology, i.e., registering, is introduced in our [paper](url_placeholder).
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- This repository allows you employ our pre-trained model for inference. If you want to reproduce the data mining and training, please refer to this [repository](url_placeholder).
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  The model supports direct translation across 552 directions for 24 languages spanning over 5 language families.
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  You can use our models directly via the `transformers` libs.
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  ## BibTeX entry and citation info
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  ```
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- place holder
 
 
 
 
 
 
 
 
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  ```
 
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  ## Description
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  MITRE (Multilingual Translation with Registers) is a multilingual, decoder-only model designed for many-to-many translation tasks.
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+ The technology, i.e., registering, is introduced in our [paper](https://arxiv.org/abs/2501.02979).
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+ This repository allows you employ our pre-trained model for inference. If you want to reproduce the data mining and training, please refer to this [repository](https://github.com/zhiqu22/mitre).
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  The model supports direct translation across 552 directions for 24 languages spanning over 5 language families.
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  You can use our models directly via the `transformers` libs.
 
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  ## BibTeX entry and citation info
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  ```
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+ @misc{qu2025registeringsourcetokenstarget,
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+ title={Registering Source Tokens to Target Language Spaces in Multilingual Neural Machine Translation},
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+ author={Zhi Qu and Yiran Wang and Jiannan Mao and Chenchen Ding and Hideki Tanaka and Masao Utiyama and Taro Watanabe},
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+ year={2025},
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+ eprint={2501.02979},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2501.02979},
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+ }
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  ```