Semi-automatic acquisition of two-level morphological rules for Iban language
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 constr...
| Main Authors: | , , , , |
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| Format: | Proceeding |
| Language: | English |
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2013
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/16360/ http://ir.unimas.my/id/eprint/16360/1/Semi-automatic%20acquisition%20of%20two-level%20morphological%20rules%20for%20Iban%20language%20%28abstrak%29.pdf |
| _version_ | 1848838047144083456 |
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| author | Suhaila, Saee Lay-Ki, Soon Tek, Yong Lim Bali, Ranaivo-Malancon Enya, Kong Tang |
| author_facet | Suhaila, Saee Lay-Ki, Soon Tek, Yong Lim Bali, Ranaivo-Malancon Enya, Kong Tang |
| author_sort | Suhaila, Saee |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T06:49:20Z |
| format | Proceeding |
| id | unimas-16360 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:49:20Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-163602017-05-22T07:06:25Z http://ir.unimas.my/id/eprint/16360/ Semi-automatic acquisition of two-level morphological rules for Iban language Suhaila, Saee Lay-Ki, Soon Tek, Yong Lim Bali, Ranaivo-Malancon Enya, Kong Tang T Technology (General) 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. 2013 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/16360/1/Semi-automatic%20acquisition%20of%20two-level%20morphological%20rules%20for%20Iban%20language%20%28abstrak%29.pdf 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. https://link.springer.com/chapter/10.1007%2F978-3-642-37247-6_15 |
| spellingShingle | T Technology (General) Suhaila, Saee Lay-Ki, Soon Tek, Yong Lim Bali, Ranaivo-Malancon Enya, Kong Tang Semi-automatic acquisition of two-level morphological rules for Iban language |
| title | Semi-automatic acquisition of two-level morphological rules for Iban language |
| title_full | Semi-automatic acquisition of two-level morphological rules for Iban language |
| title_fullStr | Semi-automatic acquisition of two-level morphological rules for Iban language |
| title_full_unstemmed | Semi-automatic acquisition of two-level morphological rules for Iban language |
| title_short | Semi-automatic acquisition of two-level morphological rules for Iban language |
| title_sort | semi-automatic acquisition of two-level morphological rules for iban language |
| topic | T Technology (General) |
| url | http://ir.unimas.my/id/eprint/16360/ http://ir.unimas.my/id/eprint/16360/ http://ir.unimas.my/id/eprint/16360/1/Semi-automatic%20acquisition%20of%20two-level%20morphological%20rules%20for%20Iban%20language%20%28abstrak%29.pdf |