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Título: |
Choosing the correct paradigm for unknown words in rule-based machine translation systems |
Autores: |
Sánchez Cartagena, Víctor Manuel Esplà Gomis, Miquel Sánchez Martínez, Felipe Pérez Ortiz, Juan Antonio |
Fecha: |
2013-03-26 2013-03-26 2012-06 |
Publicador: |
RUA Docencia |
Fuente: |
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Tipo: |
info:eu-repo/semantics/conferenceObject |
Tema: |
Machine translation Rule-based Unknown words Lenguajes y Sistemas Informáticos |
Descripción: |
Previous work on an interactive system aimed at helping non-expert users to enlarge the monolingual dictionaries of rule-based machine translation (MT) systems worked by discarding those inflection paradigms that cannot generate a set of inflected word forms validated by the user. This method, however, cannot deal with the common case where a set of different paradigms generate exactly the same set of inflected word forms, although with different inflection information attached. In this paper, we propose the use of an n-gram-based model of lexical categories and inflection information to select a single paradigm in cases where more than one paradigm generates the same set of word forms. Results obtained with a Spanish monolingual dictionary show that the correct paradigm is chosen for around 75% of the unknown words, thus making the resulting system (available under an open-source license) of valuable help to enlarge the monolingual dictionaries used in MT involving non-expert users without technical linguistic knowledge. This work has been partially funded by Spanish Ministerio de Ciencia e Innovación through project TIN2009-14009-C02-01, by Generalitat Valenciana through grant ACIF/2010/174 from VALi+d programme, and by Universitat d’Alacant through project GRE11-20. |
Idioma: |
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