Exploring cross-lingual word embeddings for the inference of bilingual dictionaries

• Marcos Garcia ^[1] ; Marcos García-Salido ^[1] ; Miguel A. Alonso ^[1]
  1. [1] Universidade da Coruña

     Universidade da Coruña

     A Coruña, España

     
• Localización: Proceedings of TIAD-2019 Shared Task – Translation Inference Across Dictionaries co-located with the 2nd Language, Data and Knowledge Conference (LDK 2019): Leipzig, Germany, May 20, 2019 / Jorge Gracia (ed. lit.), Besim Kabashi (ed. lit.), Ilan Kernerman (ed. lit.), 2019, págs. 32-41
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• Resumen

  • We describe four systems to generate automatically bilingual dictionaries based on existing ones: three transitive systems differing only in the pivot language used, and a system based on a different approach which only needs monolingual corpora in both the source and target languages. All four methods make use of cross-lingual word embeddings trained on monolingual corpora, and then mapped into a shared vec- tor space. Experimental results confirm that our strategy has a good coverage and recall, achieving a performance comparable to to the best submitted systems on the TIAD 2019 gold standard set among the teams participating at the TIAD shared task.