Tagging Parts of Speech
نویسندگان
چکیده
This paper focuses on the task of tagging text with their parts of speech. The methodology chosen for this task is the Maximum Entropy based Model and although complex will only be explained briefly. More importantly, the focus will center on the differences in performance of the maxent model with varying feature sets compared to the baseline model. One problem highlighted in part-of-speech tagging is that of ambiguity between different tags. Finally, statistical and lexical error analysis will further characterize the task of tagging part-of-speech. General Terms Maximum Entropy, Viterbi Algorithm, Part-of-Speech-Tagging
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