ENGLISH-DERIVED STARTUP TERMINOLOGY IN UZBEK: MAPPING THE RESEARCH GAP FOR A CORPUS-BASED STUDY

Uzbekistan’s rapidly institutionalising startup ecosystem has accelerated the circulation of English-derived designations such as startup, accelerator, venture, pitch, crowdfunding, MVP and FinTech, yet the evidence needed to describe how these units are adapted, distributed and stabilised in Uzbek remains dispersed across adjacent research domains. This article maps that gap. It compares established English–Uzbek terminology scholarship with the analytical requirements of startup-ecosystem terminology research through a focused gap-mapping review of four national doctoral precedents in information and communication technologies, architecture and construction, and economics. Each precedent is coded against five dimensions derived from distinct research traditions: concept-level naming families, document range, morphological integration, concordance evidence, and institutional attestation. Coding is based on publicly accessible dissertation records and therefore reports what is evidenced in the reviewed record rather than what the full theses contain. Across the four precedents, no dimension is explicitly evidenced as a stated analytical component; 7 of 20 cells are partially evidenced, and institutional attestation is the least visible dimension. Recent Uzbek work on economic anglicisms and on code-switching in startup announcements documents many of the relevant forms without integrating them into a single evidential design. The missing contribution is therefore not a further inventory of translation equivalents but an architecture in which competing designations are analysed as one naming family and in which corpus conventionalisation, institutional attestation and formal codification are coordinated without being conflated. A five-layer design is specified and illustrated with reference to an Uzbek startup-discourse corpus of 1,011 texts and 1,133,478 tokens.