Morphological analysis is one of the fundamental tasks in computational processing of
natural languages. It is the study of the rules of word construction by analysing the syntactic …

Morphological analysis is a fundamental task in natural-language processing, which is used
in other NLP applications such as part-of-speech tagging, syntactic parsing, information …

In recent years, there has been tremendous growth in the amount of natural language text
through various sources. Computational analysis of this text has got considerable attention …

This paper presents an approach to morphological analysis of Malayalam words as a
classification Problem. The idea here is to use Memory Based Language Processing …

Morphological analyzer is a tool which identifies and analyzes the internal structure of given
word and also gives the morphological and grammatical information associated with the …

Syntactic and semantics knowledge of a language is necessary for performing any text
analysis task. Understanding of words (for number, gender, case, Vibhakti, tense), and their …

Morphology is a term in Natural Language Processing (NLP) which refers to the different
forms a particular word can take. The process of removing the affixes from the word and …

Parts-of-speech tagging is the process of labeling each word in a sentence. A tag mentions
the word's usage in the sentence. Usually, these tags indicate syntactic classification like …

The morphological richness and the agglutinative nature of Malayalam make it necessary to
retrieve the root word from its inflected form in most of the NLP tasks. This paper presents an …

Morphology is a concept used in Natural Language Processing (NLP) to describe the
various forms a word can take. Stemming is the method of removing the affixes from a word …