A Review on Intelligent Language Tutoring Systems andRelevance of NLP in ILTS

An Intelligent Language Tutoring System provides automated tutoring, pedagogical, feedback and assessment strategies for language learning. Language learning revolves around various facets like words, sentences, grammar, pronunciation, syntax and semantics. Mastering these language components requires a well-defined and formalized domain. There is a greater need to validate and structure the rules pertaining to syntactical, grammatical and semantical properties. However with the advancement of Artificial Intelligence and Natural Language Processing techniques, language tutoring systems can facilitate not only grammar and vocabulary based learning, but can also present students with auto generated questions and improvised learner-tutor interactions via natural language dialogue generation. The paper summarizes and briefly discusses the design of various ITSs for language learning and also attempts to analyze various Natural language Processing Techniques used in the design of ILTSs.