The Error Analyzer is designed to align closely with the real-world workflow of linguistic research. Texts are not only examined in isolation but systematically compared, annotated, and interpreted, and the application brings these stages together into a single environment. Instead of offering fragmented tools, it integrates the full cycle of analysis: importing corpora, annotating and tagging variations, running AI-driven analyses, and finally reviewing and exporting results. Each stage is meant to lighten repetitive manual effort, strengthen consistency in annotation, and make research outputs more transparent and reproducible.
For researchers, educators, and students, this integration ensures a smooth transition from raw data to structured insights. By following the same sequence that scholars naturally adopt in their work, from preparing data, to identifying and classifying variation, to enriching analysis with computational support, and finally to consolidating findings, the application bridges methodological rigor with technological assistance. The following sections describe these key tasks in detail and show how the tool supports each stage of the analytical process.