"Challenges of Natural Language Processing: A New Dimension of Research in Computing "
Journal of Environmental Science Computer Science and Engineering & Technology · 2021
This paper is an approach to some new dimensions of research in the field of Natural Language Processing (NLP).The objective of this paper is to discuss some key challenges which are required to be addressed in this field.Researcher could be beneficial who wish to study and learn about applications and tools & technology of NLP.NLP is an arising area of research and development in the domain of computational linguistic.Till date, there are a number of NLP research dimensions already evolved.Among them, text analysis and speech recognition are the primary moto of NLP research.To achieve this, researcher need to concentrate on various tasks like speech recognition, text to speech conversion & vice versa, text summarization, story generation, named entity recognition, auto correct of grammar while typing, sentiment analysis, machine translation and automated answer generation etc. NLP is a challenging field since it deals with human language, which is extremely diverse and can be spoken many ways.The key challenges are resolving ambiguity in words, common sense representation, contextual information retrieval, pragmatic analysis etc. Though there are various applications and techniques are used to address these challenges in NLP, these are found in infant stage till date.This paper gives emphasis on some key areas of NLP where researchers can involve their research to enrich the NLP work.