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

• Main Authors: Suhaila, Saee, Lay-Ki, Soon, Tek, Yong Lim, Bali, Ranaivo-Malancon, Enya, Kong Tang
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: T Technology (General)
• Online Access: http://ir.unimas.my/id/eprint/16360/1/Semi-automatic%20acquisition%20of%20two-level%20morphological%20rules%20for%20Iban%20language%20%28abstrak%29.pdf; http://ir.unimas.my/id/eprint/16360/; https://link.springer.com/chapter/10.1007%2F978-3-642-37247-6_15

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.