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  • 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 to allow 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 better than the PBMT output compared to 21% of sentences where PBMT wins, the rest being equal.
  • 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 to allow 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 better than the PBMT output compared to 21% of sentences where PBMT wins, the rest being equal. (en)
Title
  • English to Urdu Statistical Machine Translation: Establishing a Baseline
  • English to Urdu Statistical Machine Translation: Establishing a Baseline (en)
skos:prefLabel
  • English to Urdu Statistical Machine Translation: Establishing a Baseline
  • English to Urdu Statistical Machine Translation: Establishing a Baseline (en)
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  • RIV/00216208:11320/14:10289379!RIV15-MSM-11320___
http://linked.open...avai/riv/aktivita
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  • R
http://linked.open...vai/riv/dodaniDat
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  • 14654
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/14:10289379
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  • baseline; establishing; translation; machine; statistical; urdu; english (en)
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http://linked.open...ontrolniKodProRIV
  • [ADF0C01D8FD1]
http://linked.open...v/mistoKonaniAkce
  • Dublin, Ireland
http://linked.open...i/riv/mistoVydani
  • Dublin, Ireland
http://linked.open...i/riv/nazevZdroje
  • Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers
http://linked.open...in/vavai/riv/obor
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http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bojar, Ondřej
  • Jawaid, Bushra
  • Kamran, Amir
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Dublin City University and Association for Computational Linguistics
https://schema.org/isbn
  • 978-1-941643-26-6
http://localhost/t...ganizacniJednotka
  • 11320
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