%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Scat Marian Small Ctx4 Cwd1 En Fr
This model is based on Helsinki-NLP/opus-mt-en-fr, further trained on the IWSLT17 dataset using context tag format for English-French translation, and fine-tuned on the SCAT+ dataset. Suitable for both context-aware and context-free English-French translation tasks.
Downloads 42
Release Time : 6/14/2023
Model Overview
This model was used for evaluation in the ICLR 2024 paper 'Quantifying the Rationality of Context Dependence in Neural Machine Translation', suitable for both context-aware and context-free English-French translation tasks.
Model Features
Context-aware translation
Supports context-aware English-French translation, capable of handling document-level translation tasks.
Multi-dataset fine-tuning
Trained and fine-tuned on IWSLT17 and SCAT+ datasets to improve translation quality.
Academic research support
Used for evaluation in the ICLR 2024 paper, providing academic research value.
Model Capabilities
English-French translation
Context-aware translation
Document-level translation
Use Cases
Academic research
Context dependence research
Used to study the rationality of context dependence in neural machine translation.
Evaluation results from the paper 'Quantifying the Rationality of Context Dependence in Neural Machine Translation'.
Practical applications
Document translation
Suitable for English-French document translation tasks requiring contextual information.
Featured Recommended AI Models