Abstract
This paper presents EVALIGN, a visual analytics framework for quantitative and qualitative evaluation of automatic translation alignment models. EVALIGN offers various visualization views enabling developers to visualize their models’ predictions and compare the performance of their models with other baseline and state-of-the-art models. Through different search and filter functions, researchers and practitioners can also inspect the frequent alignment errors and their positions. EVALIGN hosts nine gold standard datasets and the predictions of multiple alignment models. The tool is extendable, and adding additional datasets and models is straightforward.
| Original language | English |
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| Title of host publication | Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics : System Demonstrations |
| Number of pages | 21 |
| Publisher | Association for Computational Linguistics (ACL) |
| Publication date | 2023 |
| Pages | 277-297 |
| ISBN (Electronic) | 9781959429456 |
| Publication status | Published - 2023 |
| Event | 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023 - Dubrovnik, Croatia Duration: 2. May 2023 → 4. May 2023 |
Conference
| Conference | 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023 |
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| Country/Territory | Croatia |
| City | Dubrovnik |
| Period | 02/05/2023 → 04/05/2023 |
| Sponsor | Adobe, Babelscape, Bloomberg Engineering, Duolingo, LivePerson |