DETECTION OF MULTIWORD FROM A WORDNET IS COMPLEX

Md J. Abedin, B. S. Purkayastha

Abstract: Multiword detection is very difficult task in Language Processing. There has been a great change in the field of Natural Language Processing. Manual encoding of linguistic information is being challenged by automated corpus based learning methodologies for NLP with linguistic Knowledge. Although, Corpus based approaches have been successful in many different areas of Natural Language Processing. Multiword Detection using human evaluation method and machine evaluation method is a matter of discussion in present NLP research areas. Languages are not use not only to gather information but for communication as well. The problem is to take the information provided by the outside the world and translate the information into precise internal representation .This internal representation is called semantic representation. In this paper, we deals with how MWEs are generalized to optimized expensive evaluation of Multiword detection from a WordNet

Keywords: MWEs, Wordnet, StopWrod, lexeme.

DOI: https://doi.org/10.15623/ijret.2013.0214018