This paper provides a description of TALP-Ngram, the tuple-based statistical machine translation system developed at the TALP Research Center of the UPC (Universitat Polit`ecnica de Catalunya). Briefly, the system performs a log-linear combination of a translation model and additional feature functions. The translation model is estimated as an N-gram of bilingual units called tuples, and the feature functions include a target language model, a word penalty, and lexical features, depending on the language pair and task. The paper describes the participation of the system in the second international workshop on spoken language translation (IWSLT) held in Pittsburgh, October 2005. Results on Chinese-to-English and Arabic-to-English tracks using supplied data are reported.
Cite as: Crego, J.M., Gispert, A.d., Mariño, J.B. (2005) The TALP ngram-based SMT system for IWSLT'05. Proc. International Workshop on Spoken Language Translation (IWSLT 2005), 181-188
@inproceedings{crego05b_iwslt,
author={Josep M. Crego and Adrià de Gispert and José B. Mariño},
title={{The TALP ngram-based SMT system for IWSLT'05}},
year=2005,
booktitle={Proc. International Workshop on Spoken Language Translation (IWSLT 2005)},
pages={181--188}
}