Method and algorithm of detection of linguistic defects in scientific texts

We propose the method for automatic identification of signs of linguistic defects in Russian language. The offered method considers semantic, syntactic, morphological and lexical characteristics of elements of text, their context and mutual compatibility. Our experiments demonstrate the applicability of the method for detection of poor grammar and violations of grammatical agreement and government.