Journal of Undergraduate Research
Keywords
domain adaptation, machine translation system, training data
College
Humanities
Department
Linguistics and English Language
Abstract
This study uses an open source statistical machine translation system (Moses) to perform machine translation for specific domains, or text types. A machine translation system can be adapted to a specific domain by using training data from the same domain. In this work we show significant improvements for machine translation by training for specific domains and compare the effectiveness of using training data in each of these domains. We also evaluate the effectiveness of different amounts of training data and combining data from different domains.
Recommended Citation
Mathias, Joshua and Lonsdale, Deryle
(2017)
"Domain Adaptation in Machine Translation,"
Journal of Undergraduate Research: Vol. 2017:
Iss.
1, Article 166.
Available at:
https://scholarsarchive.byu.edu/jur/vol2017/iss1/166