A Corpus-Based Evaluation of Lexical Coverage in A2-Level EFL Coursebooks

Authors

  • Ömer Faruk Kaya Bursa Technical University
  • Aylin Han Independent Researcher

Keywords:

lexical coverage, EFL coursebooks, vocabulary load, corpus-based analysis, cognates

Abstract

This article reports a corpus-based study of A2-level English as a Foreign Language (EFL) coursebooks, focusing on their lexical coverage, frequency-based vocabulary distribution, and cross-linguistic lexical overlap. Textbook corpora compiled from student books were analysed using the New General Service List (NGSL), the NGSL supplementary word list, and the New Academic Word List (NAWL) to establish vocabulary load and coverage in relation to the 95% and 98% comprehension thresholds. The results show that the coursebooks rely heavily on high-frequency vocabulary. Combined coverage from the NGSL bands, supplementary list, and NAWL ranges from 94.47% to 95.89%, indicating that the materials support comprehension with some instructional assistance, while remaining below the level associated with largely independent reading. NGSL-only coverage remains high (92.15%–93.93%), whereas academic vocabulary contributes minimally. Analysis of Turkish–English cross-linguistic overlap reveals that cognates constitute a small proportion of the lexical input, while false cognates occur at consistently higher rates across materials. These results suggest minimal variation in lexical demands across publishers and provide empirical evidence to inform textbook selection, materials development, and vocabulary pedagogy for A2-level learners.

Author Biographies

Ömer Faruk Kaya, Bursa Technical University

Ömer Faruk Kaya is a Lecturer at Bursa Technical University and a PhD candidate at Uludağ University. His research focuses on corpus linguistics, vocabulary profiling, multi-word structures, and corpus-based  English language teaching.

Aylin Han, Independent Researcher

Aylin Han is an industrial engineer, graduated from Sakarya University, specializing in Python, SQL, and BigQuery-based data analytics. In this study, she was responsible for data collection, data cleaning, and writing the relevant data and analysis sections.

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Published

03/04/2026

Issue

Section

Research Articles