The UA-Prompsit hybrid machine translation system for the 2014 Workshop on Statistical Machine Translation

By Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez. 2014

5 citations recorded by the source corpus.

This paper describes the system jointly developed by members of the Departament de Llenguatges i Sistemes Informatics at Universitat d’Alacant and the Prompsit Language Engineering company for the shared translation task of the 2014 Workshop on Statistical Machine Translation. We present a phrase-based statistical machine translation system whose phrase table is enriched with information obtained from dictionaries and shallowtransfer rules like those used in rule-based machine translation. The novelty of our approach lies in the fact that the transfer rules used were not written by humans, but automatically inferred from a parallel cor-

Subfields: Artificial Intelligence, Machine Translation

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Citations in the corpus

Translation Task : Two-step Data Selection and RBMT-Style Synthetic Rules (2014, methodology): “Third, synthetic translation rules are automatically extracted from the development set and used to train another translation model following a novel approach (Sánchez-Cartagena et al., 2014).”