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.
Work partially supported by the Spanish CICYT under grants TIC 2000-1599-C02-01 and TIC 2003-08681-C02-02 and by the Research Supporting Program from the Univ. Pol. of Valencia
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Navarro, J.R. et al. (2004). SisHiTra : A Hybrid Machine Translation System from Spanish to Catalan. In: Vicedo, J.L., Martínez-Barco, P., Muńoz, R., Saiz Noeda, M. (eds) Advances in Natural Language Processing. EsTAL 2004. Lecture Notes in Computer Science(), vol 3230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30228-5_31
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DOI: https://doi.org/10.1007/978-3-540-30228-5_31
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