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