With the increase in exchange programs, many international students worldwide can face communication problems. Dur-ing lectures, usually English language is used for the commu-nication between students and teachers. However both sides, not necessarily being native speakers of English, may misun-derstand each other. In this paper we propose a method for correction of non-native English speakers' speech, based on the domain focused electronic document. The method relies on the results of speech recognition (SR) software, and uses them altogether with the document. Our approach consists of three steps. Firstly, document analysis in the preprocess-ing phase. Secondly, finding the document part correspond-ing to sentence from SR software, realised using the Hidden Markov Model (HMM) based method. Finally, the correc-tion by calculating the score for each of candidate sentences, based on the result of SR software. The probability score combines keywords comparison, BM25F method and HMM based method scores. Highest score candidate is chosen as replacement.