Improving SMT by Using Parallel Data of a Closely Related Language
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10130044" target="_blank" >RIV/00216208:11320/12:10130044 - isvavai.cz</a>
Result on the web
<a href="http://www.booksonline.iospress.nl/Content/View.aspx?piid=32319" target="_blank" >http://www.booksonline.iospress.nl/Content/View.aspx?piid=32319</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/978-1-61499-133-5-58" target="_blank" >10.3233/978-1-61499-133-5-58</a>
Alternative languages
Result language
angličtina
Original language name
Improving SMT by Using Parallel Data of a Closely Related Language
Original language 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Human Language Technologies - The Baltic Perspective - Proceedings of the Fifth International Conference Baltic HLT 2012
ISBN
978-1-61499-132-8
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
58-65
Publisher name
IOS Press
Place of publication
Amsterdam, Netherlands
Event location
Tartu, Estonia
Event date
Oct 4, 2012
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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