CUNI systems for WMT21: Terminology translation 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%3A10440541" target="_blank" >RIV/00216208:11320/21:10440541 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2021.wmt-1.82/" target="_blank" >https://aclanthology.org/2021.wmt-1.82/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
CUNI systems for WMT21: Terminology translation Shared Task
Original language description
This paper describes Charles University submission for Terminology translation Shared Task at WMT21. The objective of this task is to design a system which translates certain terms based on a provided terminology database, while preserving high overall translation quality. We competed in English-French language pair. Our approach is based on providing the desired translations alongside the input sentence and training the model to use these provided terms. We lemmatize the terms both during the training and inference, to allow the model to learn how to produce correct surface forms of the words, when they differ from the forms provided in the terminology database. Our submission ranked second in Exact Match metric which evaluates the ability of the model to produce desired terms in the translation.
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
7
Pages from-to
828-834
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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