Language Model Based Improvements in Statistical Machine Translation
Name
Harri Kirik
Abstract
The task of this thesis was to apply morphological information in statistical factored machine translation for the purpose of creating additional language models and thus improving the quality of the translations.
Graduation Thesis language
Estonian
Graduation Thesis type
Master - Information Technology
Supervisor(s)
Mark Fišel
Defence year
2010