Computerized corpus as a tool for educational technology and learning in the analysis of four-word recurrent expressions

Abstract

The study aimed to investigate the disciplinary variations and the structural/functional features of recurrent expressions in the introduction and literature sections of the Master of Arts (MA) theses in two corpora. It is significant since the bundles fulfil specific functions in the form of formulaic language. The sampling of the study was Turkish and British academic writers. Their essays mainly based on academic argumentative topics were selected as analysis data. Data collection included compilation and categorization of the computerized corpora for possible differences and similarities. Sketch Engine, an online text analysis tool, was used for the analysis. Exploring the usage patterns of recurrent expressions among the native and non-native corpora, we also analysed the four-word recurrent expressions and featured the existing variations of functional and structural aspects. Cross-linguistic analysis revealed that Turkish writers distinguish some features of recurrent expressions more than others Structural expressions encompassed the verb-based, noun and propositional structures. The research, text, and participant oriented recurrent expressions built up the functional groups. The most frequently used functional categories were location and description in research-oriented recurrent expressions. The findings also indicated a positive role of recurrent expressions in the learning of the disciplinary features. Structural similarities were also found, indicating strong functional features for constructing discourse in research writing. The implication is that creating appropriate academic discursive practices with a focus on the properties of the recurrent expressions can be better analysed by employing several online corpus tools.