Using Term Position Similarity and Language Modeling for Bilingual Document Alignment

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10335537" target="_blank" >RIV/00216208:11320/16:10335537 - isvavai.cz</a>
Result on the web
<a href="http://www.statmt.org/wmt16/pdf/W16-2371.pdf" target="_blank" >http://www.statmt.org/wmt16/pdf/W16-2371.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/w16-2371" target="_blank" >10.18653/v1/w16-2371</a>

Result language
angličtina
Original language name
Using Term Position Similarity and Language Modeling for Bilingual Document Alignment
Original language description
The WMT Bilingual Document Alignment Task requires systems to assign source pages to their "translations", in a big space of possible pairs. We present four methods: The first one uses the term position similarity between candidate document pairs. The second method requires automatically translated versions of the target text, and matches them with the candidates. The third and fourth methods try to overcome some of the challenges presented by the nature of the corpus, by considering the string similarity of source URL and candidate URL, and combining the first two approaches.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

Article name in the collection
Proceedings of the First Conference on Machine Translation (WMT). Volume 2: Shared Task Papers
ISBN
978-1-945626-10-4
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
710-716
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Berlin, Germany
Event date
Aug 11, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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