Conversely if the complexity measure is low, the user can confidently choose the suggestion. If a sentence is complex, the user should not be overtly reliant on the correction suggested by the system. To have an idea on how strongly we can rely on such a correction, it will be useful to devise a measure of sentence complexity with respect to the grammar correction task. A methodology needs to be devised for correcting the mistakes committed by users and also to provide relevant examples for supporting the suggested correction. The problem is to automatically detect and correct an ungrammatical Bangla sentence having postpositional and nominal inflectional errors. For Bangla language, this work needs to be done denovo. Little research has been done on detection and correction of grammatical errors in such languages. Automatic detection and correction of grammatical errors in a morphologically rich and free word order language like Bangla is a non trivial task. As a consequence, it has been felt that automatic detection and correction of grammatical errors will be of immense help as an aid for language learning. These errors are due to their lack of knowledge of the target language and influence of their previously learnt language. Even after years of learning, a person is prone to commit mistakes. Learning a new language is an integral part of human life.
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