3 results about "Sentence recognition" patented technology

The application belongs to the field of natural language processing, and particularly relates to a method and system for paraphrase recognition based on semantic primitive knowledge and abstract semantic representation, which comprises the following steps: performing word segmentation on a sentence, and performing word-level vector representation and semantic primitive knowledge representation; performing mean value processing on the semantic primitive knowledge representation result, and extracting interactive attention feature information of the mean value processing result by using global semantic information to obtain global semantic primitive representation; performing abstract semantic analysis on a to-be-recognized paraphrase sentence from a sentence structure to obtain a single-root directed acyclic graph, and performing global semantic primitive representation and word-level vector representation; extracting global and local feature information in the order of the directed acyclic graph, and performing distance feature measurement on the information; inputting the distance feature measurement result into a neural network to obtain a recognition result; the application introduces external semantic primitive knowledge to perform semantic representation, the accuracy of the semantic primitive knowledge representation is assisted by global semantic information, and the abstract semantics of a Chinese paraphrase sentence is analyzed to obtain semantic relations, so that the accuracy of paraphrase recognition is improved.

The invention provides a computer-implemented method and system for analyzing texts. The method comprises the steps of identifying one or more sentences of a first text in a first language; identifying one or more sentences of a second text in a second language; translating the identified one or more sentences of the first text from the first language into the second language; processing the sentences of the first text in the second language and the sentences of the second text in the second language into a first representation of the sentences of the first text, and a second representation of the sentences of the second text; and comparing the first representation of sentences of the first text with the second representation of sentences of the second text to identify one or more sentences of similarity between the first text and the second text.

The application provides a sentence processing method and device, electronic equipment and a readable storage medium. When a server for sentence recognition set by an operator acquires voice data to be processed, a first machine learning model or a second machine learning model with different calculation amounts is selected according to the intelligibility of the voice data to be processed, and the sentences in the voice data to be processed are processed by word segmentation and part-of-speech tagging, so as to ensure the accuracy of processing the sentences while improving the speed and efficiency of processing the sentences.