About: Word-Order Issues in English-to-Urdu Statistical Machine Translation     Goto   Sponge   NotDistinct   Permalink

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Description
  • We investigate phrase-based statistical machine translation between English and Urdu, two Indo-European languages that differ significantly in their word-order preferences. Reordering of words and phrases is thus a necessary part of the translation process. While local reordering is modeled nicely by phrase-based systems, long-distance reordering is known to be a hard problem. We perform experiments using the Moses SMT system and discuss reordering models available in Moses. We then present our novel, Urdu-aware, yet generalizable approach based on reordering phrases in syntactic parse tree of the source English sentence. Our technique significantly improves quality of English-Urdu translation with Moses, both in terms of BLEU score and of subjective human judgments.
  • We investigate phrase-based statistical machine translation between English and Urdu, two Indo-European languages that differ significantly in their word-order preferences. Reordering of words and phrases is thus a necessary part of the translation process. While local reordering is modeled nicely by phrase-based systems, long-distance reordering is known to be a hard problem. We perform experiments using the Moses SMT system and discuss reordering models available in Moses. We then present our novel, Urdu-aware, yet generalizable approach based on reordering phrases in syntactic parse tree of the source English sentence. Our technique significantly improves quality of English-Urdu translation with Moses, both in terms of BLEU score and of subjective human judgments. (en)
Title
  • Word-Order Issues in English-to-Urdu Statistical Machine Translation
  • Word-Order Issues in English-to-Urdu Statistical Machine Translation (en)
skos:prefLabel
  • Word-Order Issues in English-to-Urdu Statistical Machine Translation
  • Word-Order Issues in English-to-Urdu Statistical Machine Translation (en)
skos:notation
  • RIV/00216208:11320/11:10107812!RIV12-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP406/11/1499), S, Z(MSM0021620838)
http://linked.open...iv/cisloPeriodika
  • 95
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 241846
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/11:10107812
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • translation; machine; statistical; urdu; english; issues; order; word (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [6E3B0DBFF257]
http://linked.open...i/riv/nazevZdroje
  • The Prague Bulletin of Mathematical Linguistics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • Neuveden
http://linked.open...iv/tvurceVysledku
  • Zeman, Daniel
  • Jawaid, Bushra
http://linked.open...n/vavai/riv/zamer
issn
  • 0032-6585
number of pages
http://bibframe.org/vocab/doi
  • 10.2478/v10108-011-0007-0
http://localhost/t...ganizacniJednotka
  • 11320
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