Technical Reports

The report FIMU-RS-2013-3

PRESEMT Phrase Model Generator

by Michalis Troullinos, November 2013, 18 pages.

FIMU-RS-2013-3. Available as Postscript, PDF.

Abstract:

The PRESEMT (Pattern REcognition-based Statistically Enhanced MT) project is intended to lead to a flexible and adaptable MT system, based on a language-independent method, whose principles ensure easy portability to new language pairs. This report describes the Phrase Model Generator (PMG) of the PRESEMT system. PMG supports two distinct operations. The first operation processes the output of Phrase Aligner Module to train a phrasing model for the SL of the specified language pair. The second operation makes use of the phrasing model established to parse any SL text input and split it into phrases in preparation for the translation process.