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
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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
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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
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
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e-ISSN
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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
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