A specialized vocabulary list from an original corpus of digital science resources for middle school learners

Abstract

• A digital science corpus from middle school resources was assembled. • The corpus consists of approximately 2.7 million tokens. • A type-based specialized list was extracted using three instruments and seven inclusion criteria. • The lexical coverage of the lists was compared with the lexical coverage of four other secondary science lists. • The list could be used as a tool for specialized vocabulary learning in science classrooms where digital science resources are used.