Technical Reports
A List by Author: Michalis Troullinos
- e-mail:
- mtroullinos(a)ilsp.gr
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.
Phrase Aligner
by
Michalis Troullinos,
November 2013, 44 pages.
FIMU-RS-2013-2.
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 aligner module (PAM) of the
PRESEMT system. PAM processes the bilingual corpora by performing
text alignment at word and phrase level within a language
pair. It operates in offline manner, processing the set of
parallel sentences so as to determine how phrases are transformed
from SL to TL.
