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  • First, we examine methods for automatic extraction of verb valency dictionaries based on corpus data. We propose an automatic metric for estimating how much lexicographers' labour was saved and evaluate various frame extraction techniques using this metric. Second, we design and implement an MT system with transfer at various layers of language description, as defined in the framework of FGD. We primarily focus on the tectogrammatical (deep syntactic) layer. Third, we leave the framework of FGD and experiment with a rather direct, phrase-based MT system. Comparing various setups of the system and specifically treating target-side morphological coherence, we are able to significantly improve MT quality and out-perform a commercial MT system within a pre-defined text domain. The concluding chapter provides a broader perspective on the utility of lexicons in various applications, highlighting the successful features.
  • First, we examine methods for automatic extraction of verb valency dictionaries based on corpus data. We propose an automatic metric for estimating how much lexicographers' labour was saved and evaluate various frame extraction techniques using this metric. Second, we design and implement an MT system with transfer at various layers of language description, as defined in the framework of FGD. We primarily focus on the tectogrammatical (deep syntactic) layer. Third, we leave the framework of FGD and experiment with a rather direct, phrase-based MT system. Comparing various setups of the system and specifically treating target-side morphological coherence, we are able to significantly improve MT quality and out-perform a commercial MT system within a pre-defined text domain. The concluding chapter provides a broader perspective on the utility of lexicons in various applications, highlighting the successful features. (en)
Title
  • Exploiting Linguistic Data in Machine Translation
  • Exploiting Linguistic Data in Machine Translation (en)
skos:prefLabel
  • Exploiting Linguistic Data in Machine Translation
  • Exploiting Linguistic Data in Machine Translation (en)
skos:notation
  • RIV/00216208:11320/09:00207410!RIV10-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA405/06/0589), P(GD201/05/H014), P(LC536), Z(MSM0021620838)
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
  • 314381
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/09:00207410
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Exploiting; Linguistic; Machine; Translation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4736D2FE1205]
http://linked.open...vEdiceCisloSvazku
  • Studies Computational and Theoretical Linguistics
http://linked.open...i/riv/nazevZdroje
  • Exploiting Linguistic Data in Machine Translation
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...v/pocetStranKnihy
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bojar, Ondřej
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Institute of Formal and Applied Linguistics, Charles University
https://schema.org/isbn
  • 978-80-904175-8-8
http://localhost/t...ganizacniJednotka
  • 11320
is http://linked.open...avai/riv/vysledek of
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