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Communication Dans Un Congrès Année : 2009

Harnessing the Redundant Results of Translation Spotting

Résumé

Translation spotting consists in automatically identifying the translations of a user query inside a bitext. This task, when it relies solely on statistical word alignment algorithms, fails to achieve excellent results. In this paper, we show that identifying the translations of a query during a first translation spotting stage provides relevant information that can be used in a second stage to improve the precision of the results. This method is similar to the relevance feedback used in the information retrieval domain to enhance retrieval.
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Dates et versions

hal-02021884 , version 1 (16-02-2019)

Identifiants

  • HAL Id : hal-02021884 , version 1

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Stéphane Huet, Julien Bourdaillet, Philippe Langlais, Guy Lapalme. Harnessing the Redundant Results of Translation Spotting. 12th Machine Translation Summit (MT Summit), 2009, Ottawa, Canada. ⟨hal-02021884⟩
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