Advanced Javanese-to-Indonesian statistical machine translation (AJI-SMT) /
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(Published version)
Date
2014
Authors
Wibawa, Aji Prasetya,
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
thesis
Citation
Statement of Responsibility
Conference Name
Abstract
Language as a means of communication in writing and in speech, is an important part of the culture of every nation, helping to maintain its history and civilisation. This research focuses on speech level preservation through the development of a machine translation (MT).
School/Discipline
University of South Australia. School of Engineering.
School of Engineering.
School of Engineering.
Dissertation Note
Thesis (PhD)--University of South Australia, 2014.
Provenance
Copyright 2014 Aji Prasetya Wibawa. This work is made available under the Creative Commons Attribution-NonCommercial-NoDerivs Australia 3.0 licence (http://creativecommons.org/licenses/by-nc-nd/3.0/au/)
Description
1 ethesis (xv, 164 pages) :
colour illustrations
Includes bibliographical references (leaves 151-164)
colour illustrations
Includes bibliographical references (leaves 151-164)
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506 0#$fstar $2Unrestricted online access