Publication Type : Conference Paper
Publisher : 2nd International Conference on Computational Intelligence and Informatics
Source : 2nd International Conference on Computational Intelligence and Informatics(ICCI’17), JNTU, Hyderabad (2017)
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2017
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.
Cite this Research Publication : G. B. R., Dr. Deepa Gupta, and Sasikala T, “Grammar Error Detection Tool for Medical Transcription using Stop Words – POS Tags ngram Based Model ”, in 2nd International Conference on Computational Intelligence and Informatics(ICCI’17), JNTU, Hyderabad , 2017.