CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10440542" target="_blank" >RIV/00216208:11320/21:10440542 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2021.wmt-1.42/" target="_blank" >https://aclanthology.org/2021.wmt-1.42/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GX19-26934X" target="_blank" >GX19-26934X: Neural Representations in Multi-modal and Multi-lingual Modeling</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Sixth Conference on Machine Translation
ISBN
978-1-954085-94-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
354-361
Publisher name
Association for Computational Linguistics
Place of publication
Online
Event location
Online
Event date
Nov 10, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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