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A Systematic Literature Review of Natural Language Processing: Current State, Challenges and Risks

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Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1 (FTC 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1288))

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Abstract

In this research paper, a comprehensive literature review was undertaken in order to analyze Natural Language Processing (NLP) application based in different domains. Also, by conducting qualitative research, we will try to analyze the development of the current state and the challenge of NLP technology as a key for Artificial Intelligence (AI) technology, pointing out some of the limitations, risks and opportunities. In our research, we rely on primary data from applicable legislation and secondary public domain data sources providing related information from case studies. By studying the structure and content of the published literature, the NLP-based applications have been clearly classified into different fields which include natural language understanding, natural language generation, voice or speech recognition, machine translation, spell correction and grammar check. The development trend, open issues and limitations have also been analyzed.

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Authors and Affiliations

  1. Whitireia Polytechnic, 450 Queen Street, Auckland, 1010, New Zealand

    Eghbal Ghazizadeh & Pengxiang Zhu

Authors
  1. Eghbal Ghazizadeh
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  2. Pengxiang Zhu
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Corresponding author

Correspondence to Eghbal Ghazizadeh .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

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Ghazizadeh, E., Zhu, P. (2021). A Systematic Literature Review of Natural Language Processing: Current State, Challenges and Risks. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1. FTC 2020. Advances in Intelligent Systems and Computing, vol 1288. Springer, Cham. https://doi.org/10.1007/978-3-030-63128-4_49

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