Hoang, Cuong and Le, Anh Cuong and Pham, Bao Son (2012) A Systematic Comparison between Various Statistical Alignment Models for Statistical English-Vietnamese Phrase-Based Translation. In: 2012 Fourth International Conference on Knowledge and Systems Engineering (KSE), 17-19 August 2012, Danang, Vietnam.
Full text not available from this repository.Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | 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; |
| Subjects: | Information Technology (IT) |
| Divisions: | Faculty of Information Technology (FIT) |
| Depositing User: | Prof. Xuan-Tu Tran |
| Date Deposited: | 03 Jan 2013 04:00 |
| Last Modified: | 22 May 2015 04:49 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/98 |
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