Probabilistic Part Of Speech Tagging for Bahasa Indonesia
نویسندگان
چکیده
In this paper we report our work in developing Part of Speech Tagging for Bahasa Indonesia using probabilistic approaches. We use Condtional Random Fields (CRF) and Maximum Entropy methods in assigning the tag to a word. We use two tagsets containing 37 and 25 part-of-speech tags for Bahasa Indonesia. In this work we compared both methods using using two different corpora. The results of the experiments show that the Maximum Entropy method gives the best result.
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تاریخ انتشار 2009