PICT@WAT 2022: Neural 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%3AER44PL9D" target="_blank" >RIV/00216208:11320/23:ER44PL9D - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2022.wat-1.13" target="_blank" >https://aclanthology.org/2022.wat-1.13</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
PICT@WAT 2022: Neural Machine Translation Systems for Indic Languages
Original language description
"Translation entails more than simply translating words from one language to another. It is vitally essential for effective cross-cultural communication, thus making good translation systems an important requirement. We describe our systems in this paper, which were submitted to the WAT 2022 translation shared tasks. As part of the Multi-modal translation tasks' text-only translation sub-tasks, we submitted three Neural Machine Translation systems based on Transformer models for English to Malayalam, English to Bengali, and English to Hindi text translation. We found significant results on the leaderboard for English-Indic (en-xx) systems utilizing BLEU and RIBES scores as comparative metrics in our studies. For the respective translations of English to Malayalam, Bengali, and Hindi, we obtained BLEU scores of 19.50, 32.90, and 41.80 for the challenge subset and 30.60, 39.80, and 42.90 on the benchmark evaluation subset data."
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
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 9th Workshop on Asian Translation"
ISBN
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ISSN
2951-2093
e-ISSN
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Number of pages
5
Pages from-to
106-110
Publisher name
International Conference on Computational Linguistics
Place of publication
Gyeongju, Republic of Korea
Event location
Gyeongju, Republic of Korea
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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