Papers with EvAlign
EVALIGN: Visual Evaluation of Translation Alignment Models (2023.eacl-demo)
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| Challenge: | EvAlign is a visual analytics framework for quantitative and qualitative evaluation of automatic translation alignment models. |
| Approach: | They propose to use EvAlign to analyze automatic translation alignment models and compare their performance with other baseline and state-of-the-art models. |
| Outcome: | The framework hosts nine gold standard datasets and the predictions of multiple alignment models. |