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  • The paper presents two optimalizations of standard parsing techniques applied to Czech as a representative of a free word order language with rich morphology. Our approach is based on features that take advantage of particular knowledge of language specific properties. The first method involves a special type of merging possible due to the agreement fulfillment. Another use of language specific features lies in the exploitation of verb valency frames for probabilistic ordering of parsing output.
  • The paper presents two optimalizations of standard parsing techniques applied to Czech as a representative of a free word order language with rich morphology. Our approach is based on features that take advantage of particular knowledge of language specific properties. The first method involves a special type of merging possible due to the agreement fulfillment. Another use of language specific features lies in the exploitation of verb valency frames for probabilistic ordering of parsing output. (en)
  • The paper presents two optimalizations of standard parsing techniques applied to Czech as a representative of a free word order language with rich morphology. Our approach is based on features that take advantage of particular knowledge of language specific properties. The first method involves a special type of merging possible due to the agreement fulfillment. Another use of language specific features lies in the exploitation of verb valency frames for probabilistic ordering of parsing output. (cs)
Title
  • Efficient Sentence Parsing with Language Specific Features:A Case Study of Czech
  • Efficient Sentence Parsing with Language Specific Features:A Case Study of Czech (en)
  • Efficient Sentence Parsing with Language Specific Features:A Case Study of Czech (cs)
skos:prefLabel
  • Efficient Sentence Parsing with Language Specific Features:A Case Study of Czech
  • Efficient Sentence Parsing with Language Specific Features:A Case Study of Czech (en)
  • Efficient Sentence Parsing with Language Specific Features:A Case Study of Czech (cs)
skos:notation
  • RIV/00216224:14330/01:00004535!RIV09-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/99/D028), Z(MSM 143300003)
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
  • 678931
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/01:00004535
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • natural language; parsing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [EB8279927C15]
http://linked.open...v/mistoKonaniAkce
  • 17-19 October, 2001, Peking University, Beijing
http://linked.open...i/riv/mistoVydani
  • Beijing
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the IWPT'2001 (the 7th International Workshop on Parsing Technologies)
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...iv/tvurceVysledku
  • Horák, Aleš
  • Smrž, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Peking University
http://localhost/t...ganizacniJednotka
  • 14330
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