A Study on Classical Texts in the Field of Computational Linguistics through Bibliometric Analysis

Abstract

Manuscripts or classic texts written by hand found in papers, barks, and rattans are relics of past generations. According to generated data, Springer Link publishes a total of 111,010 articles concerning classical texts from the year 2015 to 2019. The present bibliometric analysis focuses on three aspects, namely year of publication, type of document, and field of discipline. Data collection in schedules and visual scheduling display the current trends of classical text studies. Bibliometric analysis discovers that the utmost type of publication generated from the classical text neyword is “article” with 6,962,098 hits. The field of research which records the highest search frequency is “Physics” with 30,705, whereas, the field of “Linguistics” only records 1425. However, the analysis concentrates about research on the subdiscipline field of computational linguistics. The Language and Literature subdiscipline records the highest search numbers of 148. Through the bibliometric study, three prominent lexicons revealed from the field of linguistics closely related to classical texts are Language, Corpus, and the Arabic Language. The process of topic visualisation of research papers through a word cloud can reveal these three lexicons. In conclusion, bibliometric analysis related to the field of linguistics not only provides a clear view of current developments of global classical text studies, but it also predicts the future research potential of the field.