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+ # XLM-Align
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+
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+ **Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment** (ACL-2021, [paper](https://arxiv.org/pdf/2106.06381.pdf), [github](https://github.com/CZWin32768/XLM-Align))
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+
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+ XLM-Align is a pretrained cross-lingual language model that supports 94 languages. See details in our [paper](https://arxiv.org/pdf/2106.06381.pdf).
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+
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+ ## Example
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+
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+ ```
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+ model = = AutoModel.from_pretrained("CZWin32768/xlm-align")
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+ ```
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+
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+ ## Evaluation Results
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+
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+
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+ ## MD5
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+
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+ ```
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+ b9d214025837250ede2f69c9385f812c config.json
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+ 6005db708eb4bab5b85fa3976b9db85b pytorch_model.bin
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+ bf25eb5120ad92ef5c7d8596b5dc4046 sentencepiece.bpe.model
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+ eedbd60a7268b9fc45981b849664f747 tokenizer.json
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+ ```
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+
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+ ## About
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+
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+ Contact: chizewen\@outlook.com
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+
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+ BibTeX:
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+
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+ ```
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+ @article{xlmalign,
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+ title={Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment},
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+ author={Zewen Chi and Li Dong and Bo Zheng and Shaohan Huang and Xian-Ling Mao and Heyan Huang and Furu Wei},
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+ journal={arXiv preprint arXiv:2106.06381},
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+ year={2021}
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+ }
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+ ```