A Dataset Comparison for an Indonesian-English Statistical Machine Translation System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10130074" target="_blank" >RIV/00216208:11320/12:10130074 - isvavai.cz</a>
Result on the web
<a href="http://aclweb.org/anthology-new/Y/Y12/Y12-1015.pdf" target="_blank" >http://aclweb.org/anthology-new/Y/Y12/Y12-1015.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Dataset Comparison for an Indonesian-English Statistical Machine Translation System
Original language description
In this paper, we study the effect of incorporating morphological information on an Indonesian (id) to English (en) Statistical Machine Translation (SMT) system as part of a preprocessing module. The linguistic phenomenon that is being addressed here isIndonesian cliticized words. The approach is to transform the text by separating the correct clitics from a cliticized word to simplify the word alignment. We also study the effect of applying the preprocessing on different SMT systems trained on different kinds of text, such as spoken language text. The system is built using the state-of-the-art SMT tool, MOSES. The Indonesian morphological information is provided by MorphInd. Overall the preprocessing improves the translation quality, especially for the Indonesian spoken language text, where it gains 1.78 BLEU score points of increase.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
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 26th Pacific Asia Conference on Language, Information and Computation
ISBN
978-979-1421-17-1
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
146-152
Publisher name
Faculty of Computer Science, Universitas Indonesia
Place of publication
Bali, Indonesia
Event location
Bali, Indonesia
Event date
Nov 7, 2012
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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