IoT-assisted Smart English Language Translation and Grammar Learning Framework

Improvements in the skills of language interpreters are crucial to the growth of communicative communities.Information and communication technology (ICT)-enhanced media for language education and teaching across various subject areas have developed rapidly in recent years.With its unique characteristics, grammatical learning rates are among the most challenging places for learning the language.Still, even the most cutting-edge e-learning technologies have been poorly implemented and underexplored.This study introduces an internet-of-things-assisted smart english language translation and grammar learning (ISLTGL) platform.The study uses the internet of things (IoT) to perform linguistic modeling and reliability tests.On integrating interactive features to aid in designing an information-assisted translation system.The translator still risks introducing grammatical errors into the target language version of the source text when using the conventional translation approach.The offered translation approach facilitates students' reading of English to comprehend literature.Based on this principle, develop and implement an interactive English translation and grammar learning procedure using corpus and text data sets.This method makes the translation shorter and clearer and effectively addresses the problems of massive volumes of text and significant problems of expression.The system analyzes the translation outputs statistically to assess their accuracy and completeness, providing a benchmark for the ultimate function realization.To help students learn English grammar, the ISLTGL combines the IoT system with the current English language translator.The experimental results demonstrated that ISLTGL improves student participation (97.3%), increases fluency (98.4%), boosts efficiency (94.4%), increases satisfaction (90.7%), and predicts words and sentences (95.7%) with the maximum efficiency compared to current methods for teaching English.