An Overview of a State of the Art on Developing Soft Computing-Based Language Education and Research Systems: A Survey of Engineering English Students in Uzbekistan
Аннотация
This manuscript presents a state of –the –art overview on developing soft computing-based intelligent systems relevant to language education and research to inspire technology-savvy teacher-researchers to create their interactive tools. In this regard, two important fields (Natural Language Processing and Data Analysis) of computer science have been considered as the main directions of that linguistic computation because of their amazing software applications like automatic writing tutors, text summarizers, and so-called corpus-based apps. The paper also outlines some ethical considerations of system usage so that system designers should devise relevant design features in the future thereby teachers overcoming some classroom challenges. Unlike previous methods of studies on computer-assisted language teaching and research, our work devises a multidisciplinary method to reach the state-of-art. Through this method, we summarize the relevant literature source from two perspectives, linguistic and computational ones. The rationale of this method by the survey of engineering English students confirms that fuzzy logic-based Natural Language Processing and Data Analysis approaches can be employed effectively in language education and research. Finally, based on the multidisciplinary literature review method, the manuscript produces an overview of state-of-the-art performance as the outcome.