Skip to main Communities My dashboard Log in Sign up Published April 13, 2026 | Version v1 Publication Open THE BASICS OF CORPUS COLLECTION FOR RESEARCH: PRINCIPLES, METHODS, AND PITFALLS Authors/Creators Asrorova, Nargiza Description In the domain of empirical language research, the corpus has emerged as an indispensable tool. A corpus is a large, structured, and principled collection of texts stored electronically, designed to represent a specific language variety, genre, or population (McEnery & Hardie, 2012). From lexicography and discourse analysis to second language acquisition and forensic linguistics, corpora provide researchers with quantifiable evidence of language patterns. However, the validity of any corpus-based study is fundamentally dependent on the quality and methodology of the corpus collection process. This article outlines the foundational principles of corpus collection, including defining research goals, ensuring representativeness and balance, addressing sampling strategies, handling spoken data, and navigating ethical and legal considerations. Files Ilm-fan 2402.pdf Files (207.7 kB) Name Size Download all Ilm-fan 2402.pdf md5:a8092733da42361f367a2fb7daa008fd 207.7 kB Preview Download 48 Views 12 Downloads Show more details All versions This version Views Total views 48 48 Downloads Total downloads 12 12 Data volume Total data volume 2.5 MB 2.5 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.19554511 Markdown [](https://doi.org/10.5281/zenodo.19554511) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19554511.svg :target: https://doi.org/10.5281/zenodo.19554511 HTML <a href="https://doi.org/10.5281/zenodo.19554511"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19554511.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19554511.svg Target URL https://doi.org/10.5281/zenodo.19554511 Resource type Publication Publisher Zenodo Published in Ilm-fan, 4(24), 8-10, 2026. Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 13, 2026 Modified April 13, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies