The First Parallel Corpus and Neural Machine Translation Model of Western Armenian and English
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AHLRI6G8D" target="_blank" >RIV/00216208:11320/25:HLRI6G8D - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195237830&partnerID=40&md5=4fcca3de1e42aa11348e249c1e115c8f" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195237830&partnerID=40&md5=4fcca3de1e42aa11348e249c1e115c8f</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The First Parallel Corpus and Neural Machine Translation Model of Western Armenian and English
Original language description
Western Armenian is a low-resource language spoken by the Armenian Diaspora residing in various places of the world. Although having content on the internet as well as a relatively rich literary heritage for a minority language, there is no data for the machine translation task and only a very limited amount of labeled data for other NLP tasks. In this work, we build the first machine translation system between Western Armenian and English. We explore different techniques for data collection and evaluate their impact in this very low-resource scenario. Then, we build the machine translation system while focusing on the possibilities of performing knowledge transfer from Eastern Armenian. The system is finetuned with the data collected for the first Western Armenian-English parallel corpus, which contains a total of approximately 147k sentence pairs, whose shareable part of 52k examples was made open-source. The best system through the experiments performs with a BLEU score of 29.8 while translating into English and 17 into Western Armenian. © 2024 ELRA Language Resource Association.
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
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Annu. Meet. ELRA-ISCA Spec. Interest Group Under-Resour. Lang., SIGUL LREC-COLING - Workshop Proc.
ISBN
978-249381429-6
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
345-356
Publisher name
European Language Resources Association (ELRA)
Place of publication
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Event location
Torino, Italia
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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