The ISL statistical machine translation system for the TC-STAR spring 2006 evaluation
Muntsin Kolss, Bing Zhao, Stephan Vogel, Hildebrand, A. S., Jan Niehues, Ashish Venugopal, Ying Zhang · 2006
In this paper we describe the ISL statistical machine translation system used in the TC-STAR Spring 2006 Evaluation campaign. This system is based on PESA phrase-to-phrase translations which are extracted from a bilingual corpus. The translation model, language model and other features are combined in a log-linear model during decoding. We participated in the Spanish Parliament (Cortes) and European Parliament Plenary Sessions (EPPS) task, in both the Spanish-to-English and English-to-Spanish direction, as well as the Chinese-to-English Broadcast News task, working on text input, manual transcriptions, and ASR input.