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This paper presents the chunker for Tamil using Machine learning techniques. Chunking is the task of identifying and segmenting the text into syntactically correlated word groups. The chunking is done by the machine learning techniques, where the linguistical knowledge is automatically extracted from the annotated corpus. We have developed our own tagset for annotating the corpus, which is used for...
We present CCRFs (cascaded conditional random fields): a cascaded approach to scale conditional random fields (CRFs) for Chinese POS tagging (labeling). General CRFs worked well on POS tagging, but met difficulty when dealing with a large training dataset and tag set because of high computation cost for training. CCRFs organize all tags in a hierarchy and run CRFs on each node of the hierarchy. In...
In this paper, we provide detailed insight on properties of errors generated by a stochastic morphosyntactic tagger assigning multext-East morphosyntactic descriptions to Croatian texts. Tagging the Croatia Weekly newspaper corpus by the CroTag tagger in stochastic mode revealed that approximately 85 percent of all tagging errors occur on nouns, adjectives, pronouns and verbs. Moreover, approximately...
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