Hybrid machine translation guided by a rule-based system

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Title:	Hybrid machine translation guided by a rule-based system
Author:	España Bonet, Cristina; Màrquez Villodre, Lluís; Labaka, Gorka; Díaz de Ilarraza Sánchez, Arantza; Sarasola Gabiola, Kepa
Other authors:	Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
Abstract:	This paper presents a machine translation architecture which hybridizes Matxin, a rulebased system, with regular phrase-based Statistical Machine Translation. In short, the hybrid translation process is guided by the rulebased engine and, before transference, a set of partial candidate translations provided by SMT subsystems is used to enrich the treebased representation. The final hybrid translation is created by choosing the most probable combination among the available fragments with a statistical decoder in a monotonic way. We have applied the hybrid model to a pair of distant languages, Spanish and Basque, and according to our evaluation (both automatic and manual) the hybrid approach significantly outperforms the best SMT system on out-of-domain data.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural -Rule-based machine translation -Traducció automàtica
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Document type:	Article - Submitted version Conference Object
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