Sentence type recognition method and apparatus, electronic device, and storage medium

A sentence type recognition apparatus, comprising:

• a semantic recognition model, configured to segment a target sentence determined from a to-be-recognized classroom teaching speech into a plurality of words, and process a word vector of each of the plurality of words, to obtain semantic representation information of the target sentence, wherein the semantic representation information comprises a plurality of pieces of dimension information;
• and
• a classifier, configured to select, from a plurality of candidate sentence types, a sentence type corresponding to the semantic representation information as a sentence type of the target sentence, wherein
• the classifier comprises a second probability calculation model and a second decision-making unit;
• the second probability calculation model is configured to:
• calculate, when the plurality of candidate sentence types comprise only a question and a non-question, an inner product of the plurality of pieces of dimension information and normalize the inner product, to obtain a probability that the sentence type corresponding to the semantic representation information is the question;
• and
• the second decision-making unit is configured to determine, based on the probability, that the sentence type corresponding to the semantic representation information is the question or the non-question.

A non-transitory computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the following operations:

• determining a target sentence from a to-be-recognized classroom teaching speech;
• segmenting the target sentence into a plurality of words, and processing a word vector of each of the plurality of words to obtain semantic representation information of the target sentence, wherein the semantic representation information comprises a plurality of pieces of dimension information;
• selecting, from a plurality of candidate sentence types, a sentence type corresponding to the semantic representation information;
• and
• determining the sentence type corresponding to the semantic representation information as a sentence type of the target sentence, wherein
• the operations of selecting, from a plurality of candidate sentence types, a sentence type corresponding to the semantic representation information comprises:
• calculating, when the plurality of candidate sentence types comprise only a question and a non-question, an inner product of the plurality of pieces of dimension information and normalizing the inner product, to obtain a probability that the sentence type corresponding to the semantic representation information is the question;
• and
• determining, based on the probability, that the sentence type corresponding to the semantic representation information is the question or the non-question.