mlsanityData to 7 Oct 2026

UvA-MT's Participation in the WMT23 General Translation Shared Task

arXiv 2310.09946 ↗First posted 15 Oct 2023cs.CL cs.LGcited by 1

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Abstract (arXiv)

This paper describes the UvA-MT's submission to the WMT 2023 shared task on general machine translation. We participate in the constrained track in two directions: English <-> Hebrew. In this competition, we show that by using one model to handle bidirectional tasks, as a minimal setting of Multilingual Machine Translation (MMT), it is possible to achieve comparable results with that of traditional bilingual translation for both directions. By including effective strategies, like back-translation, re-parameterized embedding table, and task-oriented fine-tuning, we obtained competitive final results in the automatic evaluation for both English -> Hebrew and Hebrew -> English directions.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 16 of its 22 references that are in the map. First posted on arXiv 15 Oct 2023.

Builds on

16 of 22 references.

References · 16

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4 more
  1. 2023Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lenscited by 15
  2. 2021Alternative Input Signals Ease Transfer in Multilingual Machine Translationcited by 14
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Citing papers per year: 2024: 1.

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  1. 2024Neuron Specialization: Leveraging intrinsic task modularity for multilingual machine translationcited by 19