A4 Refereed article in a conference publication
Scoping natural language processing in Indonesian and Malay for education applications
Authors: Maxwell-Smith Zara, Kohler Michelle, Suominen Hanna
Editors: Samuel Louvan, Andrea Madotto, Brielen Madureira
Conference name: Annual Meeting of the Association for Computational Linguistics
Publication year: 2022
Journal: Annual Meeting of the Association for Computational Linguistics
Book title : Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
Journal name in source: PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022): STUDENT RESEARCH WORKSHOP
First page : 171
Last page: 228
Number of pages: 58
ISBN: 978-1-955917-23-0
DOI: https://doi.org/10.18653/v1/2022.acl-srw.15
Web address : https://aclanthology.org/2022.acl-srw.15
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/176230090
Indonesian and Malay are underrepresented in the development of natural language processing (NLP) technologies and available resources are difficult to find. A clear picture of existing work can invigorate and inform how researchers conceptualise worthwhile projects. Using an education sector project to motivate the study, we conducted a wide-ranging overview of Indonesian and Malay human language technologies and corpus work. We charted 657 included studies according to Hirschberg and Manning's 2015 description of NLP, concluding that the field was dominated by exploratory corpus work, machine reading of text gathered from the Internet, and sentiment analysis. In this paper, we identify most published authors and research hubs, and make a number of recommendations to encourage future collaboration and efficiency within NLP in Indonesian and Malay.
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