Chapter

Advances in Natural Language Processing

Volume 3230 of the series Lecture Notes in Computer Science pp 349-359

SisHiTra : A Hybrid Machine Translation System from Spanish to Catalan

  • José R. NavarroAffiliated withCarnegie Mellon UniversityInstituto Tecnológico de Informática, Universidad Politécnica de Valencia
  • , Jorge GonzálezAffiliated withCarnegie Mellon UniversityInstituto Tecnológico de Informática, Universidad Politécnica de Valencia
  • , David PicóAffiliated withCarnegie Mellon UniversityInstituto Tecnológico de Informática, Universidad Politécnica de Valencia
  • , Francisco CasacubertaAffiliated withCarnegie Mellon UniversityInstituto Tecnológico de Informática, Universidad Politécnica de Valencia
  • , Joan M. de ValAffiliated withCarnegie Mellon UniversityServei de Normalització Lingüística, Universitat de València
  • , Ferran FabregatAffiliated withCarnegie Mellon UniversityServei de Normalització Lingüística, Universitat de València
  • , Ferran PlaAffiliated withCarnegie Mellon UniversityDepartamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia
  • , Jesús TomásAffiliated withCarnegie Mellon UniversityDepartamento de Comunicaciones, Universidad Politécnica de Valencia

* Final gross prices may vary according to local VAT.

Get Access

Abstract

In the current European scenario, characterized by the coexistence of communities writing and speaking a great variety of languages, machine translation has become a technology of capital importance. In areas of Spain and of other countries, coofficiality of several languages implies producing several versions of public information. Machine translation between all the languages of the Iberian Peninsula and from them into English will allow for a better integration of Iberian linguistic communities among them and inside Europe. The purpose of this paper is to show a machine translation system from Spanish to Catalan that deals with text input. In our approach, both deductive (linguistic) and inductive (corpus-based) methodologies are combined in an homogeneous and efficient framework: finite-state transducers. Some preliminary results show the interest of the proposed architecture.