English to Urdu Statistical Machine Translation: Establishing a Baseline

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10289379" target="_blank" >RIV/00216208:11320/14:10289379 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
English to Urdu Statistical Machine Translation: Establishing a Baseline
Original language description
The aim of this paper is to categorize and present the existence of resources for English- to-Urdu machine translation (MT) and to establish an empirical baseline for this task. By doing so, we hope to set up a common ground for MT research with Urdu toallow for a congruent progress in this field. We build baseline phrase-based MT (PBMT) and hierarchical MT systems and report the results on 3 official independent test sets. On all test sets, hierarchial MT significantly outperformed PBMT. The highest single-reference BLEU score is achieved by the hierarchical system and reaches 21.58% but this figure depends on the randomly selected test set. Our manual evaluation of 175 sentences suggests that in 45% of sentences, the hierarchical MT is ranked betterthan the PBMT output compared to 21% of sentences where PBMT wins, the rest being equal.
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers
ISBN
978-1-941643-26-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
37-42
Publisher name
Dublin City University and Association for Computational Linguistics
Place of publication
Dublin, Ireland
Event location
Dublin, Ireland
Event date
Aug 23, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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