mlsanityData to 7 Oct 2026

CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task

arXiv 2109.09354 ↗First posted 20 Sep 2021cs.CLcited by 1

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Abstract (arXiv)

This paper describes Charles University submission for Multilingual Low-Resource Translation for Indo-European Languages shared task at WMT21. We competed in translation from Catalan into Romanian, Italian and Occitan. Our systems are based on shared multilingual model. We show that using joint model for multiple similar language pairs improves upon translation quality in each pair. We also demonstrate that chararacter-level bilingual models are competitive for very similar language pairs (Catalan-Occitan) but less so for more distant pairs. We also describe our experiments with multi-task learning, where aside from a textual translation, the models are also trained to perform grapheme-to-phoneme conversion.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 17 of its 24 references that are in the map. First posted on arXiv 20 Sep 2021.

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17 of 24 references.

References · 17

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5 more
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  1. 2023Character-level NMT and language similaritycited by 0