zhiqu22
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README.md
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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](
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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](
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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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```
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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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```
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