  In this research work, we have proposed an algorithm based on supervised
learning methodology to extract the root forms of the Bengali verbs using the
grammatical rules proposed by Panini [1] in Ashtadhyayi. This methodology can
be applied for the languages which are derived from Sanskrit. The proposed
system has been developed based on tense, person and morphological inflections
of the verbs to find their root forms. The work has been executed in two
phases: first, the surface level forms or inflected forms of the verbs have
been classified into a certain number of groups of similar tense and person.
For this task, a standard pattern, available in Bengali language has been used.
Next, a set of rules have been applied to extract the root form from the
surface level forms of a verb. The system has been tested on 10000 verbs
collected from the Bengali text corpus developed in the TDIL project of the
Govt. of India. The accuracy of the output has been achieved 98% which is
verified by a linguistic expert. Root verb identification is a key step in
semantic searching, multi-sentence search query processing, understanding the
meaning of a language, disambiguation of word sense, classification of the
sentences etc.
