10 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 relates to the field of language and character information processing, in particular to a supplementation labeling system for uniquely distinguishing three groups of homomorphic abnormal sound phonemes of'machine / product, odd / seven and sparse / west 'through machine-readable symbols in a Chinese pinyin system, an input method, electronic equipment and a computer readable storage medium, and aims to provide a pinyin supplementation labeling system. On the premise of keeping the original spelling of the Pinyin scheme unchanged, the pronunciation of the product, the pronunciation of the seven and the pronunciation of the west are uniquely distinguished by using the recorded symbols (. J.q.x) of the Unicode, namely the prefix points and the original letters, so that the blind test of 100 thousand news corpora can be achieved, and after the method is adopted, the TTS misreading rate is reduced from 2.8% to 0.07%; the ambiguity of the ASR post-processing homomorphic and abnormal sound field is reduced by 62%, and the recognition accuracy of the whole sentence is improved by 3.4%; in a class test of Chinese as a foreign language, the correct rate of distinguishing initial consonants of learners is improved by 28%, and class hours are shortened by 30%; the symbol occupies 2 bytes, and the expansion rate is stored as lt; 0.5%, almost negligible; the method is completely compatible with Unicode, GB 18030 and ISO 10646, and a new character does not need to be made.

The invention provides a statement recognition method, an electronic terminal and a computer readable storage medium. Comprising the following steps: processing a to-be-identified statement to obtain a feature vector corresponding to the to-be-identified statement; processing the feature vector to obtain boundary information, type information and segment information corresponding to the to-be-identified statement; wherein the boundary information represents the boundary of an entity in the to-be-recognized statement, the type information represents the type of each word in the to-be-recognized statement, and the segment information represents an entity segment in the to-be-recognized statement; and obtaining an identification result of the to-be-identified statement based on the boundary information, the type information and the segment information. According to the method and the device, when the statement is identified, the segment information is added as a reference, the segment information can support the identification of the long entity, and the segment information, the boundary information and the type information are combined, so that the segment-level information and the word-level information can be mutually dependent, the identification accuracy of the long entity in the statement is improved, and the statement identification accuracy is further improved.

The invention relates to a method for analyzing a language structure by using a language expression, which is suitable for analyzing structures of more than 7,000 languages on the earth. The method comprises the following steps of: analyzing a morphologic element and a syntactic structure of a target sentence by a morphologic element and syntactic analysis unit; and based on a pre-training language expression learning algorithm provided by a language expression learning algorithm unit, a language expression calculation unit generates a language expression for the morphologies and syntactic structures of the sentences. Wherein the language expression calculation unit is used for dividing a sentence into an upper left area, a lower left area, an upper right area and a lower right area by taking a sentence center symbol as a benchmark, a subject symbol is distributed in the upper left area, a core verb symbol is distributed in the lower left area, and a verb type symbol is distributed in the lower right area; non-predicate symbols representing remaining phrases other than subjects and verbs are assigned to the right upper region. Furthermore, symbolization specific information including marks (1-4) indicating a person and a character number mark (.) indicating the number of word characters such as nouns and adjectives is added to at least one of the left upper mark, the left lower mark, the right upper mark and the right lower mark of each symbol. By means of the method, the sentences in the specific language can be accurately analyzed into structured syntactic expressions, and therefore the efficiency of language processing such as sentence recognition, semantic understanding, translation and retrieval is improved.

The application relates to the technical field of intelligent interaction, in particular to an artificial intelligence interactive robot, which comprises a sentence recognition module for analyzing a sentence structure, separating a main stem and subsidiary content, marking a grammatical role to generate a semantic structure, a time labeling module for identifying and labeling a time sequence, a path construction module for extracting a historical path and rearranging, an expression cleaning module for identifying and removing redundancy, and an output generation module for connecting a buffer area and a path to generate a complete output. The application separates and reconstructs semantic elements by analyzing and identifying the main stem and subsidiary components through multiple rounds of sentence structure, realizes accurate separation and reconstruction of semantic elements by combining word class role marking, generates a time arrangement list according to a time expression sequence, improves semantic evolution judgment, matches a historical path to construct an expression rearrangement structure and enhance semantic connection, identifies redundant sentences to optimize structure and clarity, and realizes continuity and logical consistency of interactive content.

The invention belongs to the technical field of document processing, and particularly relates to a synonymous sentence recognition method based on semantic feature analysis. Comprising the following steps: segmenting and splicing an input text, and establishing a statement set; performing normalization processing on the statements, eliminating invalid data and performing word segmentation processing; clue words of the candidate synonymous sentences are extracted according to the word segmentation result; screening and filtering, and establishing a statement set index; and generating a translated text by using a machine translation technology, and respectively performing embedded representation on the original statement and the translated text to obtain a polymorphic text representation result. On the basis of semantic representation of the generated words and sentences and translations thereof, word and sentence semantic representation results in various forms can be obtained, synonym features in original words and sentences and translated words are fully utilized to further enhance the accuracy and recognition approach of synonym recognition, judgment on whether the words and sentences are synonymous or not is enhanced, the synonym recognition effect is improved, and the recognition efficiency of the synonym sentences is improved. Efficient data processing of words and sentences and translations thereof is achieved, and a technical basis is provided for practical application of the synonymous sentence recognition method.

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.

To provide computer programs, information processing devices, and communication systems that enable more accurate and convenient information presentation. [Solution] The computer program causes the computer to receive a first sentence in natural language via a predetermined communication application, identify related data for the first sentence, and provide the identified related data along with the first sentence to a first language model that has been trained to output a response sentence for a given natural language sentence. The program then outputs response data based on the response sentence output by the first language model via the predetermined communication application.

This application proposes a communication statement recognition method, apparatus, computer device, and readable storage medium. The method includes: splitting communication text converted from current communication audio into multiple first communication statements; selecting multiple second communication statements from the multiple first communication statements based on attribute information corresponding to each first communication statement; determining the target complaint tendency of each second communication statement based on each second communication statement and a preset classification model; and determining the overall complaint tendency of the current communication audio based on the target complaint tendency of each of the multiple second communication statements. The technical solution of this application can automatically determine the level of complaint tendency in communication audio, reducing the manual and time costs consumed in determining complaint tendency, while improving the accuracy of complaint tendency recognition.

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.