👉 Corpus engineering is the process of designing, constructing, and refining large collections of text or speech data, known as corpora, to meet specific research or practical needs. This involves tasks such as selecting appropriate text sources, cleaning and preprocessing the data to remove noise, normalizing formats, and annotating content for linguistic or semantic analysis. Engineers also optimize corpus size, balance representation across languages or dialects, and ensure data quality to enhance the reliability and applicability of subsequent analyses. By tailoring corpora to specific goals—whether in natural language processing, sociolinguistics, or machine learning—these efforts enable more accurate and meaningful insights from textual data.
