The present application relates to the technical field of speech semantics. Disclosed is a wrong sentence detection method. The method comprises: acquiring a target sentence; recognizing the i words included in the target sentence; inputting the i words into a pre-trained language model according to the sequence in the target sentence, and calculating the perplexity and/or log likelihood probability of the target sentence by means of a language model; and if the perplexity of the target sentence is greater than a preset perplexity and/or the log likelihood probability of the target sentence is less than a preset log likelihood probability, determining that the target sentence is a wrong sentence. The present application also provides a wrong sentence detection apparatus and a computer readable storage medium. According to the present application, whether the sentence is a wrong sentence can be recognized.
WRONG SENTENCE DETECTION METHOD AND APPARATUS, AND COMPUTER READABLE STORAGE MEDIUM