Abstract
English for Specific Purposes (ESP) educators often face dilemma in deciding what lexical items to teach their students. In the field of English for Nursing Purposes (ENP), there is no exception on this issue as well. Only by analyzing the nursing corpus made up of essential core textbooks that can provide better insights and guide to both nursing students and educators. This research aims to highlight the 2,000 most frequently used nursing words across the core textbooks of nursing and to profile the types of ‘low frequency’ lexis which comprise the nursing corpus in terms of the General Service List (GSL) and Academic Word List (AWL) lexis coverage. By knowing the frequently used nursing words would further reduce students’ reading deficiency if the students use the 2000-word list.
Highlights
The primary function of a nursing corpus should directly assist nurses in understanding the language for the purpose of communication with each other and their patients, report writing and interpreting information for work purposes
The field of English for Academic Purposes (EAP). Such as English for Nursing Purposes (ENP) has become imperative in bridging the students from their general proficiency English into learning the language in a context
This scenario has become crucial especially when students enroll to higher learning institutions in Malaysia
Summary
The primary function of a nursing corpus should directly assist nurses in understanding the language for the purpose of communication with each other and their patients, report writing and interpreting information for work purposes. The field of English for Academic Purposes (EAP). Such as ENP has become imperative in bridging the students from their general proficiency English into learning the language in a context. This scenario has become crucial especially when students enroll to higher learning institutions in Malaysia. The analysis of the academic English corpora is able to portray the vocabulary types, frequency and range coverage of the texts in different fields which lead to the production of word lists (Nation, 2001).
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
