Implementation of Kadazan Tagger Based on Brill's Method
Marylyn Alex, Lailatul Qadri Zakaria · Journal of ICT Research and Applications · 2013
We present and evaluate the implementation of Part of Speech (POS) Tagging for the Kadazan The main purpose of this study is to develop an automatic POS tagging for the Kadazan language, which had never, been developed before.POS tagging can tag the Kadazan corpus automatically and can help r problem of this language.The achieve a better and higher accuracy or at least similar to that of the other tagging approaches such as the statistical This approach can transform the tags based on the pres number of objectives were set in order to achieve the main purpose of this study.Firstly, to apply the lexical and contextual rules for this language.Secondly, to implement the Brill's algorithm based on the set of rules and finally to determine the effectiveness of the Kadazan Part of Speech by using this approach.The tagging system had been trained using four Kadazan corpuses containing 5663 words in all.Based on the evaluation results, the tagging system had achieved around 93% accuracy.