All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

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

  • 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