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Silo NLP's Participation at WAT2022

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AXCLPRUY9" target="_blank" >RIV/00216208:11320/22:XCLPRUY9 - isvavai.cz</a>

  • Result on the web

    <a href="https://aclanthology.org/2022.wat-1.12" target="_blank" >https://aclanthology.org/2022.wat-1.12</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Silo NLP's Participation at WAT2022

  • Original language description

    This paper provides the system description of “Silo NLP's” submission to the Workshop on Asian Translation (WAT2022). We have participated in the Indic Multimodal tasks (English-textgreaterHindi, English-textgreaterMalayalam, and English-textgreaterBengali, Multimodal Translation). For text-only translation, we used the Transformer and fine-tuned the mBART. For multimodal translation, we used the same architecture and extracted object tags from the images to use as visual features concatenated with the text sequence for input. Our submission tops many tasks including English-textgreaterHindi multimodal translation (evaluation test), English-textgreaterMalayalam text-only and multimodal translation (evaluation test), English-textgreaterBengali multimodal translation (challenge test), and English-textgreaterBengali text-only translation (evaluation test).

  • 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

    2022

  • 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

    7

  • Pages from-to

    99-105

  • Publisher name

    International Conference on Computational Linguistics

  • Place of publication

  • Event location

    Gyeongju, Republic of Korea

  • Event date

    Jan 1, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article