An Overview of Natural Language Processing (NLP) in Healthcare: Implications for English Language Teaching
This paper investigates how learning environments that are customized to the requirements of individual students can be created using natural language processing (NLP), and how it impacts English language training (ELT).
Abstract
Artificial intelligence has made tremendous impact in every aspect of the world. It is being widely used in every field to generate desirable outcomes within stipulated time-frame with efficacy and accuracy. The healthcare industry has been one of the main beneficiaries of Natural Language Processing (NLP) a subfield of the artificial intelligence (AI). This research study deals with the connection between NLP and healthcare with a special emphasis on how it impacts English language training (ELT). Natural Language Processing has definitely made enormous positive impacts in the field of healthcare. The application of Natural Language Processing (NLP) in healthcare has changed patient care, lowered administrative costs, and enabled medical research by enabling sophisticated text and speech recognition, sentiment analysis, and machine translation. These developments in NLP technology, particularly in the field of medical English, which is crucial for medical professionals working in global settings, provide important insights and potential applications in ELT. The language and its usage vary in every field in accordance with the situation. Thus, each variety of English language like Business English, Technical English, Aviation English and so on is unique and the right use of those varieties makes communication better and accurate. This paper investigates how learning environments that are customized to the requirements of individual students can be created using natural language processing (NLP).