Natural Language Processing: Python and NLTK

Morphological analyzer

Morphological analysis may be defined as the process of obtaining grammatical information from tokens, given their suffix information. Morphological analysis can be performed in three ways: morpheme-based morphology (or anitem and arrangement approach), lexeme-based morphology (or an item and process approach), and word-based morphology (or a word and paradigm approach). A morphological analyzer may be defined as a program that is responsible for the analysis of the morphology of a given input token. It analyzes a given token and generates morphological information, such as gender, number, class, and so on, as an output.

In order to perform morphological analysis on a given non-whitespace token, the pyEnchant dictionary is ...