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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F12%3A10130044%21RIV13-GA0-11320___
rdf:type
skos:Concept n18:Vysledek
rdfs:seeAlso
http://www.booksonline.iospress.nl/Content/View.aspx?piid=32319
dcterms: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.
dcterms:title
Improving SMT by Using Parallel Data of a Closely Related Language Improving SMT by Using Parallel Data of a Closely Related Language
skos:prefLabel
Improving SMT by Using Parallel Data of a Closely Related Language Improving SMT by Using Parallel Data of a Closely Related Language
skos:notation
RIV/00216208:11320/12:10130044!RIV13-GA0-11320___
n18:predkladatel
n19:orjk%3A11320
n6:aktivita
n8:S n8:P
n6:aktivity
P(7E09003), P(7E11051), P(GPP406/10/P259), S
n6:dodaniDat
n15:2013
n6:domaciTvurceVysledku
n9:5657512 n9:2630176
n6:druhVysledku
n24:D
n6:duvernostUdaju
n17:S
n6:entitaPredkladatele
n22:predkladatel
n6:idSjednocenehoVysledku
140957
n6:idVysledku
RIV/00216208:11320/12:10130044
n6:jazykVysledku
n23:eng
n6:klicovaSlova
language; related; closely; data; parallel; using; improving
n6:klicoveSlovo
n12:related n12:data n12:using n12:language n12:parallel n12:closely n12:improving
n6:kontrolniKodProRIV
[20B7DF373ECA]
n6:mistoKonaniAkce
Tartu, Estonia
n6:mistoVydani
Amsterdam, Netherlands
n6:nazevZdroje
Human Language Technologies - The Baltic Perspective - Proceedings of the Fifth International Conference Baltic HLT 2012
n6:obor
n16:IN
n6:pocetDomacichTvurcuVysledku
2
n6:pocetTvurcuVysledku
2
n6:projekt
n11:GPP406%2F10%2FP259 n11:7E11051 n11:7E09003
n6:rokUplatneniVysledku
n15:2012
n6:tvurceVysledku
Galuščáková, Petra Bojar, Ondřej
n6:typAkce
n10:CST
n6:zahajeniAkce
2012-10-04+02:00
s:numberOfPages
8
n13:doi
10.3233/978-1-61499-133-5-58
n20:hasPublisher
IOS Press
n3:isbn
978-1-61499-132-8
n7:organizacniJednotka
11320