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A Non-linear Semantic Mapping Technique for Cross-Language Sentence Matching

  • Rafael E. Banchs
  • Marta R. Costa-jussà
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6233)

Abstract

A non-linear semantic mapping procedure is implemented for cross-language text matching at the sentence level. The method relies on a non-linear space reduction technique which is used for constructing semantic embeddings of multilingual sentence collections. In the proposed method, an independent embedding is constructed for each language in the multilingual collection and the similarities among the resulting semantic representations are used for cross-language matching. It is shown that the proposed method outperforms other conventional cross-language information retrieval methods.

Keywords

Canonical Correlation Analysis Sentence Level Parallel Corpus Query Translation Majority Vote Strategy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Rafael E. Banchs
    • 1
  • Marta R. Costa-jussà
    • 1
  1. 1.Barcelona Media Innovation CentreBarcelonaSpain

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