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.