| dc.contributor.author | Nykyporets, S. S. | en |
| dc.contributor.author | Никипорець, С. С. | uk |
| dc.date.accessioned | 2025-08-27T06:49:55Z | |
| dc.date.available | 2025-08-27T06:49:55Z | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | Nykyporets S. S. Applying corpus query language (CQL) to the development of technical lexical competence in future engineers in Ukraine // Збірник тез учасників курсу з корпусної лінгвістики «Corpora for Linguists», Kyiv, Ukraine. P. 39-40. DOI: https://doi.org/10.5281/zenodo.16905607. | en, uk |
| dc.identifier.uri | https://ir.lib.vntu.edu.ua//handle/123456789/48750 | |
| dc.description.abstract | This study explores the potential of CQL-based queries in identifying and systematising technical vocabulary for subsequent integration into teaching practice. Particular attention is given to how authentic corpus data can inform the development of learner-oriented materials in English for Specific Purposes (ESP) courses. The research utilises open-access English-language corpora – primarily the English Web 2021 (enTenTen21), alongside linguistic software tool such as Sketch Engine. | en |
| dc.language.iso | en_US | en_US |
| dc.publisher | Київський національний університет імені Тараса Шевченка | uk |
| dc.relation.ispartof | Збірник тез учасників курсу з корпусної лінгвістики «Corpora for Linguists», Kyiv : 39-40. | uk |
| dc.relation.uri | https://zenodo.org/records/16905607 | |
| dc.subject | Corpus Query Language (CQL) | en |
| dc.subject | technical lexical competence | en |
| dc.subject | ESP | en |
| dc.subject | technical vocabulary | en |
| dc.subject | university education | en |
| dc.title | Applying corpus query language (CQL) to the development of technical lexical competence in future engineers in Ukraine | en |
| dc.type | Thesis | |
| dc.identifier.doi | https://doi.org/10.5281/zenodo.16905607 | |
| dc.identifier.orcid | https://orcid.org/0000-0002-3546-1734 | |
