Semi-automatic acquisition of two-level morphological rules for Iban language

Suhaila, Saee and Lay-Ki, Soon and Tek, Yong Lim and Bali, Ranaivo-Malancon and Enya, Kong Tang (2013) Semi-automatic acquisition of two-level morphological rules for Iban language. In: 14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013, 24 March 2013 through 30 March 2013, Samos; Greece.

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Official URL: https://link.springer.com/chapter/10.1007%2F978-3-...

Abstract

We describe in this paper a semi-automatic acquisition of morphological rules for morphological analyser in the case of under-resourced language, which is Iban language. We modify ideas from previous automatic morphological rules acquisition approaches, where the input requirements has become constraints to develop the analyser for under-resourced language. This work introduces three main steps in acquiring the rules from the under-resourced language, which are morphological data acquisition, morphological information validation and morphological rules extraction. The experiment shows that this approach gives successful results with 0.76 of precision and 0.99 of recall. Our findings also suggest that the availability of linguistic references and the selection of assorted techniques for morphology analysis could lead to the design of the workflow. We believe this workflow will assist other researchers to build morphological analyser with the validated morphological rules for the under-resourced languages.

Item Type: Proceeding (Paper)
Uncontrolled Keywords: Morphological analyser; Morphological rules; Rules extraction; Under-resourced language, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Saman
Date Deposited: 22 May 2017 07:06
Last Modified: 22 May 2017 07:06
URI: http://ir.unimas.my/id/eprint/16360

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