A Maximum Entropy Approach to Kannada Part Of Speech Tagging
نویسندگان
چکیده
منابع مشابه
A Maximum Entropy Approach to Kannada Part Of Speech Tagging
Part Of Speech (POS) tagging is the most important pre-processing step in almost all Natural Language Processing (NLP) applications. It is defined as the process of classifying each word in a text with its appropriate part of speech. In this paper, the probabilistic classifier technique of Maximum Entropy model is experimented for the tagging of Kannada sentences. Kannada language is agglutinat...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/5600-7852