SARAWAK
LANGUAGE
TECHNOLOGY (S@LT)

Revitalising and maintaining Sarawak culture and heritage through the use of information and communication technology.

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BRIEF
INTRODUCTION
TO SARAWAK

Knowing the context
will help to understand the challenges

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RESEARCH ON
LANGUAGE RESOURCES
AND HISTORICAL DOCUMENTS

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Welcome to S@LT

Sarawak Language Technology

The Sarawak Language Technology, in short SaLT, is a research group within the Faculty of Computer Science and Information Technology (FCSIT).

Objectives

SaLT was initiated in 2008 with the objective of revitalising and maintaining sarawak culture and heritage through the use of information and communication technology.

Language Processing Tools

Since its creation, SaLT has already acquired various language resources and developed a few language processing tools for several Sarawak indigenous languages.

Research Roadmap


Today, SaLT has undertaken the realisations of two important parts of the FCSIT Research Roadmap: The Language Platform and The flagship CHERITAR (Culture and Heritage Repository).

Thus, for the next following years, the research at SaLT will be focusing on two aspects : Acquisition and development of language resources for Sarawak languages, and Processing of Sarawak historical documents for knowledge extraction.

Brief Introduction to Sarawak Knowing the context will help to understand the challenges


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  • Prof. Dr. Alvin W. Yeo Advisor

    Specialisation: » ICT for rural communities » Human computer interaction » Language technology

      Research Interests: » Information and Communications Technology for Rural Development » Human computer interaction

  • Assoc. Prof. Dr. Ranaivo- Malançon Bali Leader

    Specialisation: » Natural Language Processing / Computational Linguistics » Computational morphology » Text mining

      Research Interests: »Historical documents processing »Development of language resources for under-resourced languages »Terminology extraction and representation »Lexical semantics »Corpus processing tools »Close languages identification »Malay language processing

Research

Language Resources and Sarawak Gazette Historical Documents

Publications

Journals

:: Suhaila Saee, Lay-Ki Soon, Tek Yong Lim, Bali Ranaivo-Malançon, and Enya Kong Tang. (2013). Semi-automatic Acquisition of Two-Level Morphological Rules for Iban Language.
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International Conferences

:: Bali Ranaivo-Malançon, Terrin Lim, Jacey-Lynn Minoi, and Amelia Jati Robert Jupit. (2013). Automatic Generation of Fill-in Clues and Answers from Raw Texts for Crosswords.
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Miscellaneous

:: Suhaila Saee, Lay-Ki Soon, Tek-Yong Lim, and Bali Ranaivo-Malançon. (2012). A Construction of Computational Morphology Resources for Under-Resourced Language.
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Our Collaborators

NGOs, Government Agencies, Institutions and Universities