Verb Sense Disambiguation in Machine Translation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10335530" target="_blank" >RIV/00216208:11320/16:10335530 - isvavai.cz</a>
Result on the web
<a href="http://glicom.upf.edu/hytra6/hytra6_proceedings.pdf" target="_blank" >http://glicom.upf.edu/hytra6/hytra6_proceedings.pdf</a>
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Verb Sense Disambiguation in Machine Translation
Original language description
We describe experiments in Machine Translation using word sense disambiguation (WSD) information. This work focuses on WSD in verbs, based on two different approaches -- verbal patterns based on corpus pattern analysis and verbal word senses from valency frames. We evaluate several options of using verb senses in the source-language sentences as an additional factor for the Moses statistical machine translation system. Our results show a statistically significant translation quality improvement in terms of the BLEU metric for the valency frames approach, but in manual evaluation, both WSD methods bring improvements.
Czech name
—
Czech description
—

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)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Sixth Workshop on Hybrid Approaches to Translation (HyTra-6)
ISBN
978-4-87974-713-6
ISSN
—
e-ISSN
—
Number of pages
9
Pages from-to
42-50
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Osaka, Japan
Event date
Dec 11, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)