Low-Resource Machine Translation Systems for Indic Languages
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10475723" target="_blank" >RIV/00216208:11320/23:10475723 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Low-Resource Machine Translation Systems for Indic Languages
Original language description
We present the submission of the CUNI team to the WMT23 shared task in translation between English and Assamese, Khasi, Mizo, and Manipuri. All our systems were pretrained on the task of multilingual masked language modelling and denoising auto-encoding. Our primary systems for translation into English were further pretrained for multilingual MT in all four language directions and fine-tuned on the limited parallel data available for each language pair separately. We used online back-translation for data augmentation. The same systems were submitted as contrastive for translation out of English where the multilingual MT pretraining step seemed to harm the translation performance. Other contrastive systems used additional pseudo-parallel data mined from monolingual corpora.
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
2023
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 Eighth Conference on Machine Translation
ISBN
979-8-89176-041-7
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
954-958
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Singapore, Singapore
Event date
Dec 6, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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