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Trends In Natural Language Processing : Scope And Challenges

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  • Shreyashi Chowdhury
  • Asoke Nath

Abstract

Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyse large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them.NLP combines computational linguistics—rule-based modelling of human language—with statistical, machine learning, and deep learning models. Together, these technologies enable computers to process human language in the form of text or voice data and to ‘understand’ its full meaning, complete with the speaker or writer’s intent and sentiment. Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation. This paper discusses on the various scope and challenges , current trends and future scopes of Natural Language Processing.

Suggested Citation

  • Shreyashi Chowdhury & Asoke Nath, 2021. "Trends In Natural Language Processing : Scope And Challenges," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 7(6), pages 393-401, December.
    • Handle: RePEc:jbh:ijsrcs:v7:y2021:i6:id:hcseit217698
    DOI: 10.32628/CSEIT217698
    Note: Article URL: https://ijsrcseit.com/CSEIT217698
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