@conference{2001_TambouratzisEtAl,
author = "Tambouratzis, George and Sofianopoulos, Sokratis and Vassiliou, Marina and Simistira, Fotini and Tsimboukakis, Nikos",
abstract = "The present article introduces a phrase-alignment approach that involves the processing of a small bilingual corpus in order to extract suitable structural infor-mation. This is used in the PRESEMT project, whose aim is the quick develop-ment of phrase-based Machine Transla-tion (MT) systems for new language pairs. A main bottleneck of such systems is the need to create compatible parsing schemes in the source and target lan-guages. This bottleneck is overcome by combining two modules, the Phrase aligner module and the Phrasing model generator, both of them being based on pattern recognition principles.",
address = "Leuven, Belgium",
booktitle = "Proceedings of the 15th International Conferecne of the European Association for Machine Translation",
editor = "M.L. Forcada; H. Depraetere; V. Vadeghinste",
isbn = "9789081486118",
keywords = "alignment, crf, machine learning",
month = "May 30-31",
organization = "EAMT",
pages = "185-192",
title = "{A} resource-light phrase scheme for language-portable {M}T ",
year = "2011",
}