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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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+ datasets:
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+ - inseq/scat
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+ - gsarti/iwslt2017_context
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+ language:
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+ - en
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+ - fr
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+ pipeline_tag: translation
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+ tags:
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+ - arxiv:2310.01188
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+ - contextual-mt
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+ - document-mt
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  ---
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+
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+ *This model corresponds to the [`Helsinki-NLP/opus-mt-en-fr`](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) further trained on English-to-French translation on the [IWSLT17 dataset](https://huggingface.co/datasets/gsarti/iwslt2017_context) with context tags using the format:
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+
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+ ```
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+ Input: SOURCE_CTX <brk> SOURCE_CURR
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+ Output: TARGET_CTX <brk> TARGET_CURR
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+ ```
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+
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+ and further fine-tuned on the training split of [SCAT+](https://huggingface.co/datasets/inseq/scat). The model was used in the evaluation of the paper [Quantifying the Plausibility of Context Reliance in Neural Machine Translation](https://openreview.net/forum?id=XTHfNGI3zT) published at ICLR 2024, also available on [Arxiv](https://arxiv.org/abs/2310.01188). It can be used for English to French contextual and non-contextual translation.