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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

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

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

  • ISSN

    2951-2093

  • e-ISSN

  • 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