Integrating shallow-transfer rules into phrase-based statistical machine translation
Víctor M. Sánchez-Cartagena, Felipe Sánchez-Martínez, Juan Antonio Pérez-Ortiz · RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante) · 2011
In this paper, we extensively evaluate a new hybridisation approach consisting of enriching the phrase table of a phrase-based statistical machine translation system with bilingual phrase pairs matching transfer rules and dictionary entries from a shallow-transfer rule-based machine translation system. The experiments conducted show an improvement in translation quality, specially when the parallel corpus available for training is small or when translating out-of-domain texts that are well covered by the shallow-transfer rule-based machine translation system.