About: Utilization of Anaphora in Machine Translation     Goto   Sponge   Distinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Majority of present machine translation systems do not address the retaining of text coherency, they translate just isolated sentences. On the other hand, the authors of anaphora resolvers rarely integrate these tools into more complex scenarios, e.g. the task of machine translation. We propose the ways how machine translation systems can utilize the knowledge of anaphoric relations both in the source as well as in the target language in order to improve the quality of translation. Specifically, we present how to incorporate anaphora resolution into the process of English to Czech translation using the TectoMT system.
  • Majority of present machine translation systems do not address the retaining of text coherency, they translate just isolated sentences. On the other hand, the authors of anaphora resolvers rarely integrate these tools into more complex scenarios, e.g. the task of machine translation. We propose the ways how machine translation systems can utilize the knowledge of anaphoric relations both in the source as well as in the target language in order to improve the quality of translation. Specifically, we present how to incorporate anaphora resolution into the process of English to Czech translation using the TectoMT system. (en)
Title
  • Utilization of Anaphora in Machine Translation
  • Utilization of Anaphora in Machine Translation (en)
skos:prefLabel
  • Utilization of Anaphora in Machine Translation
  • Utilization of Anaphora in Machine Translation (en)
skos:notation
  • RIV/00216208:11320/11:10107951!RIV12-GA0-11320___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GD201/09/H057), S
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
  • 237534
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/11:10107951
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • translation; machine; anaphora; utilization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A81ADBF3694D]
http://linked.open...v/mistoKonaniAkce
  • Praha, Czechia
http://linked.open...i/riv/mistoVydani
  • Praha, Czechia
http://linked.open...i/riv/nazevZdroje
  • WDS'11 Proceedings of Contributed Papers, Part I
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
  • Novák, Michal
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Matfyzpress
https://schema.org/isbn
  • 978-80-7378-184-2
http://localhost/t...ganizacniJednotka
  • 11320
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software