Using Statistical Machine Translation in Grammatical and Semantic Error Checker

The aim of this research is development of an automatic spell, grammatical and real-word error checker for Persian (Farsi) language. The errors in a text can be classified into spelling errors, grammatical errors and real-word errors. The system preprocesses the text and generates candidates for each grammatical errors and real-word errors. In this research, statistical machine translation is used for detecting and correction the errors.

Project Provider

Behzad Mirzababaei
Email: b.mirzababaei@ut.ac.ir
Former Member

Supervisor Professor

Heshaam Faili
Associate Professor
Tel Number: 61119717
Email: hfaili [AT] ut.ac.ir