Proceedings of the 2nd International Conference on Environmental, Energy, and Earth Science, ICEEES 2023, 30 October 2023, Pekanbaru, Indonesia

Research Article

Prospects for Lexical Simplification: Bibliometric Analysis and New Directions of Research

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  • @INPROCEEDINGS{10.4108/eai.30-10-2023.2343091,
        author={Lisnawita  Lisnawita and Juhaida Abu Bakar},
        title={Prospects for Lexical Simplification: Bibliometric Analysis and New Directions of Research},
        proceedings={Proceedings of the 2nd International Conference on Environmental, Energy, and Earth Science, ICEEES 2023, 30 October 2023, Pekanbaru, Indonesia},
        publisher={EAI},
        proceedings_a={ICEEES},
        year={2024},
        month={4},
        keywords={lexical simplification publication trends bibliometric analysis research   topics},
        doi={10.4108/eai.30-10-2023.2343091}
    }
    
  • Lisnawita Lisnawita
    Juhaida Abu Bakar
    Year: 2024
    Prospects for Lexical Simplification: Bibliometric Analysis and New Directions of Research
    ICEEES
    EAI
    DOI: 10.4108/eai.30-10-2023.2343091
Lisnawita Lisnawita1,*, Juhaida Abu Bakar2
  • 1: Universitas Lancang Kuning, Pekanbaru, Indonesia
  • 2: School of Computing, Universiti Utara Malaysia, Malaysia
*Contact email: Lisnawita@unilak.ac.id

Abstract

This research investigates trends and advances in the field of Lexical Simplification (LS), namely efforts to simplify text. We used data from the Scopus database to see the types of publications that appeared most frequently. As a result, conference papers were the largest (65.6%), followed by journal articles and conference reviews. We also found that the num-ber of publications fluctuated every year, with 2016 and 2020 being the peaks, indicating that there is a need to be more consistent and produce more publications in the future. This research also highlights the important contributions of several researchers and universities. From a language perspective, LS research mostly uses English, but some also uses Span-ish and Mandarin. The main publication source is Lecture Notes in Computer Science. Keyword analysis shows that the main topics of this research are Lexical Simplification (18.34%), natural language processing systems (15.65%), computational linguistics (9.54%), semantics (7.85%), and Complex Word Identification (6.85%). These findings help understand the current state and future directions of LS research, emphasizing the im-portance of language variety and improving the quality of publications in this field.