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oai:recercat.cat:2117/182802025-07-17T13:58:07Zcom_2072_1033col_2072_452950

Improving English to Spanish out-of-domain translations by morphology generalization and generation Formiga Fanals, Lluís Hernández Huerta, Adolfo Mariño Acebal, José Bernardo Monte Moreno, Enrique Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla Àrees temàtiques de la UPC::Ensenyament i aprenentatge::Aprenentatge de llengües Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic Signal theory (Telecommunication) Natural language processing (Computer science) Tractament del llenguatge natural (Informàtica) Senyal, Teoria del (Telecomunicació) This paper presents a detailed study of a method for morphology generalization and generation to address out-of-domain translations in English-to-Spanish phrase-based MT. The paper studies whether the morphological richness of the target language causes poor quality translation when translating out-ofdomain. In detail, this approach first translates into Spanish simplified forms and then predicts the final inflected forms through a morphology generation step based on shallow and deep-projected linguistic information available from both the source and targetlanguage sentences. Obtained results highlight the importance of generalization, and therefore generation, for dealing with out-ofdomain data. Peer Reviewed Postprint (published version) 2012 Conference report Formiga, L. [et al.]. Improving English to Spanish out-of-domain translations by morphology generalization and generation. A: Monolingual Machine Translation Workshop. "Proceedings of the Monolingual Machine Translation-2012 Workshop". San Diego: 2012, p. 6-16. https://hdl.handle.net/2117/18280 eng http://amta2012.amtaweb.org/AMTA2012Files/papers/wor-oki-01.pdf http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Open Access Attribution-NonCommercial-NoDerivs 3.0 Spain 11 p. application/pdf