Automatic extraction of Bengali root verbs using Paninian grammar

Abstract

In this report, a supervised methodology has been presented to extract the root forms of the Bengali verbs using the grammatical rules proposed by Panini in Ashtadhyayi. 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 numbers 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 99% 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.

Enhancing the Performance of Semantic Search in Bengali using Neural Net and other Classification Techniques

“…The detailing of the root verb extraction is given in [5]. Flowchart of root verb extraction and the required table is given in Figure 4 and 5 respectively.…”

“…Depending on the length of the path, the representative path involves the least path in the meaningful similarity measures. Wu and Palmer measure [4], Leacock and Chodorow measure [5] are some examples of path length based measure. Meaningful similarity measurements based on feature uses more meaningful knowledge than path-lengthbased method.…”