About: Improving SMT by Using Parallel Data of a Closely Related Language     Goto   Sponge   NotDistinct   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
rdfs:seeAlso
Description
  • The amount of training data in statistical machine translation is critical for translation quality. In this paper, we demonstrate how to increase translation quality for one language pair by bringing in parallel data from a closely related language. In particular, we improve enRIGHTWARDS ARROWsk translation using a large Czech-English parallel corpus and a shallow (rule-based) MT system for csRIGHTWARDS ARROWsk. Several setup options are explored in order to identify the best possible configuration.
  • The amount of training data in statistical machine translation is critical for translation quality. In this paper, we demonstrate how to increase translation quality for one language pair by bringing in parallel data from a closely related language. In particular, we improve enRIGHTWARDS ARROWsk translation using a large Czech-English parallel corpus and a shallow (rule-based) MT system for csRIGHTWARDS ARROWsk. Several setup options are explored in order to identify the best possible configuration. (en)
Title
  • Improving SMT by Using Parallel Data of a Closely Related Language
  • Improving SMT by Using Parallel Data of a Closely Related Language (en)
skos:prefLabel
  • Improving SMT by Using Parallel Data of a Closely Related Language
  • Improving SMT by Using Parallel Data of a Closely Related Language (en)
skos:notation
  • RIV/00216208:11320/12:10130044!RIV13-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7E09003), P(7E11051), P(GPP406/10/P259), 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
  • 140957
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/12:10130044
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • language; related; closely; data; parallel; using; improving (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [20B7DF373ECA]
http://linked.open...v/mistoKonaniAkce
  • Tartu, Estonia
http://linked.open...i/riv/mistoVydani
  • Amsterdam, Netherlands
http://linked.open...i/riv/nazevZdroje
  • Human Language Technologies - The Baltic Perspective - Proceedings of the Fifth International Conference Baltic HLT 2012
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
  • Bojar, Ondřej
  • Galuščáková, Petra
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.3233/978-1-61499-133-5-58
http://purl.org/ne...btex#hasPublisher
  • IOS Press
https://schema.org/isbn
  • 978-1-61499-132-8
http://localhost/t...ganizacniJednotka
  • 11320
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, 77 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software