A Hierarchical Phrase-Based Model for English-Persian Statistical Machine Translation

Mohaghegh, Mahsa; Sarrafzadeh, Hossein

Thumbnail
Share
View fulltext online
Date
2012
Citation:
Mohaghegh, M., and Sarrafzadeh, H. (2012). A Hierarchical Phrase-Based Model for English-Persian Statistical Machine Translation. Innovations 12, 8th International Conference on Innovations in Information Technology. 18-20 March. pp. 205-208. doi: 10.1109/INNOVATIONS.2012.6207733.
Permanent link to Research Bank record:
https://hdl.handle.net/10652/2229
Abstract
In this paper we show that a hierarchical phrasebased translation system will outperform a classical (nonhierarchical) phrase-based system in the English-to-Persian translation direction, yet for the Persian-to-English direction, the classical phrase-based system is preferable. We seek to explain why this is so, and detail a series of translation experiments with our SMT system using various bilingual corpora each with both toolkits Moses (non-hierarchical) and Joshua (hierarchical).
Keywords:
statistical machine translation (SMT), natural language processing, hierarchical phrase-based models
ANZSRC Field of Research:
089999 Information and Computing Sciences not elsewhere classified
Copyright Holder:
Authors
Rights:
This digital work is protected by copyright. It may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use: Any use you make of these documents or images must be for research or private study purposes only, and you may not make them available to any other person. You will recognise the author's and publishers rights and give due acknowledgement where appropriate.
Metadata
Show detailed record
This item appears in