Automated text analyzers

Abstract This chapter introduces (web-based) automated text analyzers (ATAs) in applied linguistics research. It begins by briefly surveying key strands of research involving ATAs and outlining three types of text analysis alongside questions commonly addressed by these tools. The core of this chapter presents a conceptual framework for the typology and implementation of ATAs, structured around four continuum dimensions: (1) pre-built corpus platform vs. custom corpus platform , (2) developer-oriented vs. user-oriented , (3) focused vs. versatile , and (4 ) descriptive vs. interpretive . The framework is illustrated through five practical studies showcasing the application of various types of ATAs in applied linguistics research, including L2SCA, Coh-Metrix, Sketch Engine, #LancsBox, Voyant Tools, and Wmatrix3. The chapter also discusses ethical considerations and methodological challenges associated with ATA use. It concludes by outlining future directions for ATA development and research, including improving annotation accuracy, enhancing qualitative interpretability, and expanding analytical capacities across languages and modalities.