By Topic

Hybrid machine translation for Javanese speech levels

Sign In

Full text access may be available.

To access full text, please use your member or institutional sign in.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Wibawa, Aji Prasetya ; School of Electrical and Information Engineering, University of South Australia, Adelaide, South Australia ; Nafalski, Andrew ; Tweedale, Jeffrey ; Murray, Neil
more authors

Javanese is a local language with the biggest number of speakers in Indonesia. However, the fact that it is characterized by a complex system of politeness means that it is perceived negatively by Javanese teenagers, who have difficulty understanding it. The hybrid corpus-based machine translation described here is designed to address this by offering a means of translating speech levels appropriately. The system embeds statistical features into a memory-based machine translation to obtain the best performance of Javanese speech levels' translation. The evaluation shows satisfactory results; 0.83 and 90.4 for the average accuracy and quality of the translation, respectively.

Published in:

Knowledge and Smart Technology (KST), 2013 5th International Conference on

Date of Conference:

Jan. 31 2013-Feb. 1 2013