TY  - CONF
ID  - SisLab98
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/98/
A1  - Hoang, Cuong
A1  - Le, Anh Cuong
A1  - Pham, Bao Son
Y1  - 2012/08/17/
N2  - In statistical phrase-based machine translation, the step of phrase learning heavily relies on word alignments. This paper provides a systematic comparison of applying various statistical alignment models for statistical English-Vietnamese phrase-based machine translation. We will also invest a heuristic method for elevating the translation quality of using higher word-alignment models by improving the quality of lexical modelling. In detail, we will experimentally show that taking up the lexical translation seems to be an appropriate approach to force "higher" word-based translation models be able to efficiently "boost" their merits. We hope this work will be a reliable comparison benchmark for other studies on using and improving the statistical alignment models for English-Vietnamese machine translation systems.
KW  - Analytical models;Educational institutions;Hidden Markov models;Mathematical model;Systematics;Training;computational linguistics;language translation;natural language processing;statistical analysis;word processing;heuristic method;lexical modelling;lexical translation;phrase learning;statistical English-Vietnamese phrase-based translation;statistical alignment model;statistical phrase-based machine translation;word alignment model;word-based translation model;
TI  - A Systematic Comparison between Various Statistical Alignment Models for Statistical English-Vietnamese Phrase-Based Translation
SP  - 143 
M2  - Danang, Vietnam
AV  - none
EP  - 150
T2  - 2012 Fourth International Conference on Knowledge and Systems Engineering (KSE)
ER  -