A Corpus-based Analysis of the Terminology of the Social Sciences and Humanities

Abstract

This paper was concerned with terminology of the social sciences and humanities in Indonesian scientific papers. Using electronic corpora built from the collection of texts on legal science and administrative science in Universitas Indonesia, the aims of the study was to illustrate how to integrate corpus linguistic method with the communicative theory of terminology (CTT) to examine terminology. Three procedures of corpus analysis were applied to assist in identifying two of the areas that terminological units must fulfil, i.e. the linguistic component and the cognitive component. The keyword and word clusters analysis were used to extract multi-word terms while the collocation analysis was used to derive the most significant sense categories of terms. Using corpus software, vis. WordSmith Tools, the corpus analysis presents some of the results showing that the linguistic component of terminological units can be traced through the technique of keyword and word clusters. In Addition, the cognitive component of terminological units was possible to investigate through the concept of semantic preference, one of the key concepts in corpus linguistics built from the analysis of collocation. Therefore, it can be concluded that a corpus-based approach to study terminology is considered to offer several benefits, especially to the activity concerned with the compilation, description, processing and presenting terms in a more reliable and efficient way. It may also provide an alternative method for creating glossary and for translators to resolve terminological problems.

The 2006–2016 Translation Theory Development in Indonesian Universities: Using Corpus Tools

“…Keyword analysis was applied to identify terms related to TS that were used in the research and the papers. Considering the terms are not always in single words, the words generated by the keyword analysis are then studied by cluster analysis to identify terms in multi-word units (Yuliawati, Suhardijanto, and Hidayat, 2018). By using the keyword cluster feature in WordSmith Tools, the n-gram method, with n = 2 to 3 words, was utilized to identify the terms of TS.…”

Corpus-based analysis of semi-automatically extracted artificial intelligence-related terminology

“…The researchers claim that terminologists need to become familiar with the domain language, perform terminology and keywords extractions, conduct statistical analysis and obtain complementary information about the terms, including semantic, syntactic and collocational clues (ibid.) Terminology research based on corpus analysis has been done in many different fields, such as social sciences, humanities (Yuliawati et al, 2018;Rimkutė, 2012;Markievicz and Rimkutė, 2013;Biel et al, 2018), information technologies (Izwaini, 2005), etc. Therefore, the method of corpus based term recognition and contextual analysis of their structure used in this study is reliable and suitable for exploring the terms of such a rapidly developing field as artificial intelligence.…”

Corpus-Based Terms Extraction in Linguistics Domain for Indonesian Language

“…The researcher is going to extract the term in linguistics domain using the corpus-based terminology approach. The corpus-based terminology approach has been done before by Yuliawati et al (2018) applying the communicative theory of terminology (CTT) and Peñas et al (2002) applying the corpus-based terminology to information access. The similarity between them is the method of specialized corpus compilation to extract the term candidates by comparing the hits of specialized corpus to the general corpus.…”

“…Thus, this research creates the linguistics domain corpus from scientific articles as the specialized corpus. Furthermore, the analysis method is adopted from Yuliawati et al (2018) by applying Mutual Information (MI) score to extract the best term candidates using collocation analysis. The reason to choose the linguistics domain is to extract terms in linguistics domain since there is no similar research in linguistics domain term extraction for Indonesian language.…”

“…To extract the best term in a specific domain, the terms must be figured in three dimensions; cognitive, linguistic, and communicative. Yuliawati et al (2018) applied the CTT analysis on extracting the terms on legal science and administrative science domain resulting in several essential points for the research. The research applies corpus-based terminology research to help the researcher deal with the big quantity of data in the corpora (general and specialized corpus).…”