Advancements in English-Persian hierarchical statistical machine translation
Loading...
Other Title
Authors
Mohaghegh, Mahsa
Author ORCID Profiles (clickable)
Degree
Grantor
Date
2012
Supervisors
Type
Conference Contribution - Paper in Published Proceedings
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
statistical machine translation (SMT)
English-Persian
parallel corpora
English-Persian
parallel corpora
ANZSRC Field of Research Code (2020)
Citation
Mohaghegh, M. (2012). Advancements in English-Persian Hierarchical Statistical Machine Translation. NZCSRSC New Zealand Computer Science Research Student Conference. Dunedin, New Zealand. 13 April.
Abstract
In this paper we show that a hierarchical phrase-based translation system will outperform a classical (non-hierarchical) 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).
Publisher
Permanent link
Link to ePress publication
DOI
Copyright holder
Author
Copyright notice
All rights reserved