Mapping of English and Punjabi Verb Classes; A Corpus Based Study

Abstract

The present work is an attempt to develop verb semantic roles and syntax of Punjabi Shahmukhi language. The VerbNet of Punjabi Shahmukhi is not created yet. This only happened because of its slow progress as compare to other global languages. The current research discovers the sorts of semantic roles and syntax of the verbs of Punjabi Shahmukhi. WordNet classifies words which is based on its word meanings rather than word forms. English language WordNet consist of four open class groups such as; nouns, verbs, adverbs and adjectives. But this research is restricted to the analysis of the main verbs. The corpus involves seven million words for this research was gathered from different means.  All the data is evaluated through AntConc in chunks and make the list of base form of verbs. These verb lists are translated in English for next process.At that moment, every single verb is analyzed through Beth Levin’s verb classes Model. By applying this class-based model we are able to find similarities and differences between Shahmukhi Punjabi and English Language.This research is important and beneficial in the construction of VerbNet of Punjabi Shahmukhi. VerbNet provides a strong foundation for WordNet to digitalize the language of Punjabi Shahmukhi. Moreover, VerbNet will support to achieve a global position for Punjabi Shahmukhi.