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Natural language processing: state of the art, current trends and challenges

Multimedia tools and applications, 2023-01, Vol.82 (3), p.3713-3744 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.. corrected publication 2022 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.corrected publication 2022. ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, corrected publication 2022Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-022-13428-4 ;PMID: 35855771

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  • Title:
    Natural language processing: state of the art, current trends and challenges
  • Author: Khurana, Diksha ; Koli, Aditya ; Khatter, Kiran ; Singh, Sukhdev
  • Subjects: Computer Communication Networks ; Computer Science ; Data Structures and Information Theory ; Multimedia Information Systems ; Special Purpose and Application-Based Systems
  • Is Part Of: Multimedia tools and applications, 2023-01, Vol.82 (3), p.3713-3744
  • Description: Natural language processing (NLP) has recently gained much attention for representing and analyzing human language computationally. It has spread its applications in various fields such as machine translation, email spam detection, information extraction, summarization, medical, and question answering etc. In this paper, we first distinguish four phases by discussing different levels of NLP and components of N atural L anguage G eneration followed by presenting the history and evolution of NLP. We then discuss in detail the state of the art presenting the various applications of NLP, current trends, and challenges. Finally, we present a discussion on some available datasets, models, and evaluation metrics in NLP.
  • Publisher: New York: Springer US
  • Language: English
  • Identifier: ISSN: 1380-7501
    EISSN: 1573-7721
    DOI: 10.1007/s11042-022-13428-4
    PMID: 35855771
  • Source: ProQuest Central
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