The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Word Segmentation in Indo-China Languages for Digital Libraries
|
Author(s): Jin-Cheon Na (Nanyang Technological University, Singapore), Tun Thura Thet (Nanyang Technological University, Singapore), Dion Hoe-Lian Goh (Nanyang Technological University, Singapore), Yin-Leng Theng (Nanyang Technological University, Singapore)and Schubert Foo (Nanyang Technological University, Singapore)
Copyright: 2009
Pages: 8
Source title:
Handbook of Research on Digital Libraries: Design, Development, and Impact
Source Author(s)/Editor(s): Yin-Leng Theng (Nanyang Technological University, Singapore), Schubert Foo (Nanyang Technological University, Singapore), Dion Goh (Nanyang Technological University, Singapore)and Jin-Cheon Na (Nanyang Technological University, Singapore)
DOI: 10.4018/978-1-59904-879-6.ch024
Purchase
|
Abstract
This chapter introduces word segmentation methods for Indo-China languages. It describes six different word segmentation methods developed for the Thai, Vietnamese, and Myanmar languages and compare different approaches in terms of their algorithms and results achieved. The discussion and comparison of these word segmentation methods will provide underlying views about how word segmentation can be achieved and employed in Indo-China languages to support search functionality in digital libraries.
Related Content
Wilson Chukwunedum Ochonogor, Stephen M. Mutula.
© 2020.
24 pages.
|
Rhodes Elias Mwageni.
© 2020.
20 pages.
|
Joel O. Afolayan, Roseline O. Ogundokun, Abiola G. Afolabi, Adekanmi A. Adegun.
© 2020.
25 pages.
|
Adeyinka Tella, Femi Quardri, Sunday Segun Bamidele, Olubukola Oluyemisi Ajiboye.
© 2020.
23 pages.
|
Roseline O. Ogundokun, Joel O. Afolayan, Adekanmi A. Adegun, Abiola G. Afolabi.
© 2020.
20 pages.
|
M. T. Bashorun, K. T. Omopupa, Garba Dahiru.
© 2020.
22 pages.
|
Olaronke O. Fagbola, Ambrose E. Smart, Babarotimi Opeyemi Oluwaseun.
© 2020.
25 pages.
|
|
|