Abstract
English language has become a widely used common language around the globe. The language is also considered as the first global lingua franca (a mutually known language). It has become a part and parcel of almost every field. As a result, many people are dedicating their time and effort to learn the language. It has also become an integral part in the process of jobs and various other opportunities. Thus, this paper proposes a natural language processing-based solution which is used to detect one’s proficiency level through checking their grammar, vocabulary and sentence formation. A paragraph is given as input through voice or text to the prototype system. After the input is taken, natural language processing-based method is used to check the above-said levels and give the level and an enhanced text as output. Finally, English proficiency level of the person is given based on the paragraph he/she has written. This paper is developed using natural language processing.
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Brahmananda Reddy, A., Vaishnavi, P., Jahnavi, M., Sameeksha, G., Sandhya, K. (2022). Enhancing English Proficiency Using NLP. In: Reddy, A.B., Kiranmayee, B., Mukkamala, R.R., Srujan Raju, K. (eds) Proceedings of Second International Conference on Advances in Computer Engineering and Communication Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-7389-4_42
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DOI: https://doi.org/10.1007/978-981-16-7389-4_42
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