Parts-of-speech (POS) tagging is one of the many tasks in NLP. It is defined as the process of assigning a particular parts-of-speech tag to individual words in a sentence. The parts-of-speech tag identifies whether a word is a noun, verb, adjective, and so on. There are numerous applications of parts-of-speech tagging, such as information retrieval, machine translation, NER, language analysis, and so on.
This chapter will include the following topics:
Creating POS tagged corpora
Selecting a machine learning algorithm
Statistical modeling involving the n-gram approach
Developing a chunker using POS tagged data