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

Abstract

This paper describes the system jointly developed by members of the Departament de Llenguatges i Sistemes Informàtics 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 corpus.

Findings of the 2014 Workshop on Statistical Machine Translation

“…Dublin City University / Lingo24 (wu et al, 2014) EU-BRIDGE EU-BRIDGE Project (Freitag et al, 2014) KIT Karlsruhe Institute of Technology (Herrmann et al, 2014) IIT-BOMBAY IIT Bombay (Dungarwal et al, 2014) IIIT-HYDERABAD (Rubino et al, 2014) PROMT-RULE, PROMT-HYBRID PROMT RWTH RWTH Aachen (Peitz et al, 2014) STANFORD Stanford University (Neidert et al, 2014;Green et al, 2014) UA-* University of Alicante (Sánchez-Cartagena et al, 2014) UEDIN-PHRASE, UEDIN-UNCNSTR University of Edinburgh (Durrani et al, 2014b) UEDIN-SYNTAX University of Edinburgh (Williams et al, 2014) UU, UU-DOCENT Uppsala University (Hardmeier et al, 2014) YANDEX Yandex School of Data Analysis (Borisov and Galinskaya, 2014…”