Suhaila Saee

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To extend a complete workflow of automatic acquisition of morphological rules for morphological analyser, we propose a semi-automatic workflow for under-resourced language, which is Iban language. The workflow focuses in determining the rules to be used for building Iban morphological analyser without prior knowledge of language-specific morphological(More)
The goal of the project presented in this paper is to explore the linguistic knowledge hidden in printed dictionaries of minority languages. Firstly, the printed dictionary has to be converted into a machine readable dictionary. The second step is to make use of existing language processing tools to discover the hidden knowledge. To illustrate the proposed(More)
Computational morphological resources are the crucial component needed in providing morphological information to create morphological analyser. To acquire the morphological resources in a manual way, two main components are required. The components, which are preprocessing and morphology induction, have led to two issues: i) time consuming and ii) ambiguity(More)
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