RETRACTED ARTICLE: Big Data Analytics integrated AAC Framework for English language teaching

The significant growth in the education sector promoted many innovations based on teaching and training the learners. Augmentative and Alternative Communication (AAC) system has helped people with neural disorders learn for years. Still, it meets significant challenges that affect the rate of Language learning skills, specifically English. Big Data Analytics integrated AAC Framework (BDA-AACF) is proposed to train the English language for people with neural disorder. BDA-AACF collects all the language data and segregates it according to its usages. In the AAC system, symbols and letters are viewed, in which the user selects the required data using eyeball tracking assistance. BDA-AACF uses a predictive model to generate all optional sentences to choose from options. The preferred choice is converted into TEXT-SPEECH model for the listener to listen and vice versa. Simulation analysis shows that the proposed BDA-AACF recognizes the sentences and predicts the word-formation with improved sensitivity factors, stability, and response rate following conventional methods.