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Institute of Formal and Applied Linguistics

at Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic


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Publication


Year 2016
Type in proceedings without ISBN
Status published
Language English
Author(s) Jawaid, Bushra Kamran, Amir Bojar, Ondřej
Title Enriching Source for English-to-Urdu Machine Translation
Czech title Obohacování zdrojové strany ve strojovém překladu z angličtiny do urdštiny
Proceedings 2016: Ōsaka, Japan: WSSANLP 2016: Proceedings of the the 6th Workshop on South and Southeast Asian NLP
Pages range 54-63
How published online
Supported by 2016 SVV 260 333 (Teoretické základy informatiky a výpočetní lingvistiky) 2015-2018 H2020-ICT-2014-1-645452 (QT21: Quality Translation 21)
Czech abstract Článek se zaměřuje na generování pádových příznaků ve strojovém překladu do jazyků s volným slovosledem. Navrhujeme několik pravidel identifikujících vhodná místa pro takové příznaky při překladu z angličtiny do urdštiny. Výsledky ukazují zlepšení až 1 bod BLEU.
English abstract This paper focuses on the generation of case markers for free word order languages that use case markers as phrasal clitics for marking the relationship between the dependent- noun and its head. The generation of such clitics becomes essential task especially when translating from fixed word order languages where syntactic relations are identified by the positions of the dependent-nouns. To address the problem of missing markers on source-side, artificial markers are added in source to improve alignments with its target counterparts. Up to 1 BLEU point increase is observed over the baseline on different test sets for English-to-Urdu.
Specialization linguistics ("jazykověda")
Confidentiality default – not confidential
Open access no
Address* Ōsaka, Japan
Month* December
Publisher* International Committee for Computational Linguistics
Creator: Common Account
Created: 12/7/16 1:45 PM
Modifier: Almighty Admin
Modified: 2/25/17 10:07 PM
***

Content, Design & Functionality: ÚFAL, 2006–2016. Page generated: Mon Sep 25 13:42:51 CEST 2017

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