Reranking Hypotheses of Machine-Translated Queries for Cross-Lingual Information Retrieval
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10335525" target="_blank" >RIV/00216208:11320/16:10335525 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-44564-9_5" target="_blank" >http://dx.doi.org/10.1007/978-3-319-44564-9_5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-44564-9_5" target="_blank" >10.1007/978-3-319-44564-9_5</a>
Alternative languages
Result language
angličtina
Original language name
Reranking Hypotheses of Machine-Translated Queries for Cross-Lingual Information Retrieval
Original language description
Machine Translation (MT) systems employed to translate queries for Cross-Lingual Information Retrieval typically produce single translation with maximum translation quality. This, however, might not be optimal with respect to retrieval quality and other translation variants might lead to better retrieval results. In this paper, we explore a method exploiting multiple translations produced by an MT system, which are reranked using a supervised machine-learning method trained to directly optimize the retrieval quality. We experiment with various types of features and the results obtained on the medical-domain test collection from the CLEF eHealth Lab series show significant improvement of retrieval quality compared to a system using single translation provided by MT.
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
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Experimental IR Meets Multilinguality, Multimodality, and Interaction 7th International Conference of the CLEF Association
ISBN
978-3-319-44563-2
ISSN
0302-9743
e-ISSN
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Number of pages
13
Pages from-to
54-66
Publisher name
Springer
Place of publication
Berlin, Germany
Event location
Évora, Portugal
Event date
Sep 5, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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