Publication

Abstract : Medical transcription is the process of conversion of audio files, dictated by medical experts, to electronicdata files in a predetermined format. The doctor ‘s thoughts are documented, covering medical procedures carriedout on a patient starting from the time the patient enters the clinic or hospital, up until the ailment is treated.A grammar checker is an important asset to hospitals to scrutinize medical transcripts. The transcripts are importantto track a patient’s medical history and need to be error free. The available existing tools are specifically designed todetect faulty grammatical constructs in the generic English language. It is important to improve the intelligence of agrammar checker in a relatively unknown domain and to improve the level of accuracy set by the existing tools whichmostly rely on a set of non-exhaustive rulesets. These are the driving factors to propose a new approach to an oldproblem. Stop words are most commonly occurring words in any language. By exploiting the fact that stop wordsform the backbone of a sentence and by figuring out the common parts-of-speech tags which surround them,a sentence’s grammatical structure can be better understood using statistical methods.