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Bootstrapping Bilingual Lexicons from Comparable Corpora for Closely Related Languages

  • Nikola Ljubešić
  • Darja Fišer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6836)

Abstract

In this paper we present an approach to bootstrap a Croatian-Slovene bilingual lexicon from comparable news corpora from scratch, without relying on any external bilingual knowledge resource. Instead of using a dictionary to translate context vectors, we build a seed lexicon from identical words in both languages and extend it with context-based cognates and translation candidates of the most frequent words. By enlarging the seed dictionary for only 7% we were able to improve the baseline precision from 0.597 to 0.731 on the mean reciprocal rank for the ten top-ranking translation candidates with a 50.4% recall on the gold standard of 500 entries.

Keywords

bilingual lexicon extraction cognates comparable corpora 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Nikola Ljubešić
    • 1
  • Darja Fišer
    • 2
  1. 1.Faculty of Humanities and Social SciencesUniversity of ZagrebZagrebCroatia
  2. 2.Faculty of ArtsUniversity of LjubljanaLjubljanaSlovenia

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