TAF PUBLISHING

The main objective of this study is to focus precisely on the discussion of the English language algorithms in the direction of grammar and lexical correction errors algorithms. The utilization of the language web-search engine has exploded in its popularity and its potential applications. The majority of search engine algorithms use error detection, which typically is not limited to a particular native language. Thus, the syntax of English web search queries, the problem was identified by automatic speech recognition systems. In an algorithm that takes on corrections for second language learners, a new approach was introduced. In this study, the algorithm proposed will take an input sentence with a preposition error and replaces it with the correct preposition that would relate to this specific sentence. This is based upon a rule-based and statistical approach, making it a hybrid made up of two different phases. This proposed algorithm will be useful for students, educators, and scholars.