November 2016
Beginner to intermediate
687 pages
15h 31m
English
book
Natural Language Processing: Python and NLTK
by Nitin Hardeniya, Jacob Perkins, Deepti Chopra, Nisheeth Joshi, Iti Mathur
Content preview from Natural Language Processing: Python and NLTKBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Selecting a machine learning algorithm
POS tagging is also referred to as word category disambiguation or grammatical tagging. POS tagging may be of two types: rule-based or stochastic/probabilistic. E. Brill's tagger is based on the rule-based tagging algorithm.
A POS classifier takes a document as input and obtains word features. It trains itself with the help of these word features combined with the already available training labels. This type of classifier is referred to as a second order classifier, and it makes use of the bootstrap classifier in order to generate the tags for words.
A backoff classifier is one in which backoff procedure is performed. The output is obtained in such a manner that the trigram POS tagger relies on the bigram ...
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