Title:
TEACHING LEXICO-SEMANTIC COMPLEXITY IN STUDENT ACADEMIC WRITING: CORPORA AND CORPUS TOOLS

Authors:
Christoph Haase

Abstract:
This contribution surveys methods to enhance the teaching of English for Academic Purposes via computer-aided corpus methods. It introduces data generated from a custom-made algorithm to automatically assign a score for the lexico-semantic complexity of a given text. It also presents findings from corpus studies that investigate the linguistic parameters of academic texts. The tool utilizes the WordNet project, which is part of the semantic web initiative. The texts analyzed in the study come from the self-compiled corpus project CUJOE which includes various registers of student academic writing, in contrast to other corpus data from specified academic texts and popular science articles. The article involves suggestions for using the tool to promote self-assessment of semantic complexity in the teaching of academic writing.

Keywords:
Academic English, English for Academic Purposes, Teaching Academic Writing, Learner Corpora, Corpus Analysis

DOI:
https://doi.org/10.37500/IJESSR.2024.7622

Date of Publication: 31-12-2024