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English-Indonesian Neural Machine Translation for Spoken Language Domains

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405565" target="_blank" >RIV/00216208:11320/19:10405565 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.aclweb.org/anthology/P19-2043.pdf" target="_blank" >https://www.aclweb.org/anthology/P19-2043.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    English-Indonesian Neural Machine Translation for Spoken Language Domains

  • Original language description

    In this work, we conduct a study on Neural Machine Translation (NMT) for English-Indonesian (EN-ID) and Indonesian-English (ID-EN). We focus on spoken language domains, namely colloquial and speech languages. We build NMT systems using the Transformer model for both translation directions and implement domain adaptation, in which we train our pre-trained NMT systems on speech language (in-domain) data. Moreover, we conduct an evaluation on how the domain-adaptation method in our EN-ID system can result in more formal translation out-puts.

  • 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

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • 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 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

  • ISBN

    978-1-950737-47-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    309-314

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Stroudsburg, PA, USA

  • Event location

    Firenze, Italy

  • Event date

    Jul 28, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article