55 results about "Sentence analysis" patented technology

A system and methods for matching between search requests and relevant data (web pages, online documents, essays, online text in general, images, video, footage etc.). The system comprises three components that can work separately or together and can be integrated with other search engine methods in order to further improve the relevancy of search results. The system can find similarity between different document and measure the distance (in similarity) between documents. The three components are: Context based understanding, comprising putting the documents in the context of aspects of the human knowledge external to the documents, Partial Sentence analysis and 100 percentage points to keyword/tag sets.

The invention discloses a database SQL infusion protecting method based on self-learning, comprising a learning phase and a filtering phase. The learning phase works in safe environment. At the moment, all SQL sentences are legitimate SQL sentences generated by an application system. A knowledge model (knowledge base) of the legitimate SQL sentences can be constituted by analyzing the sentences as well as analyzing and summarizing the characteristics of the sentences on the basis of sentence analysis results. The filtering phase works in real environment. At the moment, all SQL sentences are assumed to be possibly illegitimate SQL sentences. The sentences undergo pattern matching with the knowledge base established in the safe environment. If the matching is successful, the sentences are legitimate SQL sentences, otherwise, the sentences are illegitimate SQL sentences. The database SQL infusion protecting method has the advantage that an SQL infusion protecting system based on learning the legitimate SQL sentences can greatly reduce the false report rate and missing report rate which are caused by traditional SQL infusion protection, and the defending capability of the whole system can be improved.

The invention discloses a clustering method for question sentences in a question-and-answer platform and a system thereof. The technical scheme is as follows: the question sentences in the question-and-answer platform is analyzed according to the semantic feature of the question sentences to obtain analysis results; the semantic feature comprises the question type and the comparison feature of the question sentences and thesaurus correlative to the content of the question sentences; and aiming at the question sentences which is analyzed by the semantic feature, a clustering algorithm for evaluating the semantic similarity of the question sentences is adopted to obtain clustering results of the question sentences in the question-and-answer platform. The system comprises a question sentences analysis module and a clustering algorithm module. Aiming at the problem that the clustering method for the question sentences in the question-and-answer platform and the system thereof are not existed in the prior art, the technical scheme of the invention fills the gap, thereby not only realizing fast and exact clustering method and system in the question-and-answer platform, but also improving user experience.

A system for extracting relations between measurements within an unstructured text and ontology concepts of at least one domain ontology stored in a domain ontology database is provided. The system includes an annotation unit adapted to process sentences of the unstructured text to derive tokens and measurements within the sentences. The derived tokens are annotated with ontology concepts mapped to the tokens. The system also includes a concept analyzing unit adapted to analyze, for each annotated sentence including at least one derived measurement, the annotated ontology concepts mapped to the derived tokens of the sentence to identify the ontology concepts related to the at least one derived measurement and to rank the identified related ontology concepts according to calculated relation strengths of the relations between the identified related ontology concepts and the respective measurement of the annotated sentence.

The invention relates to a data linage analysis method and device. The method comprises analyzing query sentences based on mode configuration to recognize target tables, target fields, source tables and source fields in the query sentences; obtaining metadata defined by various database systems or users and performing accurate matching on fuzzy fields of the query sentences through the metadata; generating data lineage relationships of the query sentences according to the field tracing sequence of the recognized target fields and source fields; analyzing the data lineage relationships of a plurality of the query sentences through multi-layer sentence analysis. By means of the method and the device, data lineage of various general structured sentences can be analyzed flexibly.

The invention discloses an automatic metaphor rhetoric sentence analysis and judgment method based on part of speech, syntax and a dictionary. A randomly input sentence is taken as a processing object, and the method comprises the following steps: (1) segmenting words and carrying out part-of-speed tagging; (2) deleting a modifier based on syntactic analysis; (3) deleting redundant ingredients based on a simple subordinate clause; (4) deleting redundant ingredients based on a metaphoric word; (5) reducing a range of a candidate body and a candidate metaphorical object by virtue of dependency relation; (6) screening the candidate body and the candidate metaphorical object according to the dependency relation formed by corresponding words of root nodes; (7) extracting the candidate body and the candidate metaphorical object according to a simple metaphoric sentence extraction rule; and (8) realizing automatic analysis and judgement on a metaphor rhetoric sentence based on automatic judgement of a metaphor rhetoric technique. The method disclosed by the invention is high in automation degree and high in judgement accuracy rate and can be widely applied to automatic metaphor rhetoric analysis and judgment systems of the fields of natural language deep understanding, machine translation, computer-assisted instruction and the like.

The invention provides an automatic positioning method of software failures in a unit test. The automatic positioning method comprises the following steps: A. adopting a group of test examples meeting the covering requirements, executing a tested program, and judging whether the executing result of the test examples is identical to an expected result or not; B. analyzing edge information on a path according to an executing path corresponding to each test example and determining a suspicious space formed by edges on the path; C. performing statistics on covering times of the test examples passed or not passed for each edge in the suspicious space and calculating the degree of suspiciousness of each edge under an appointed executing mode; D. calculating the degree of suspiciousness of a node of an adjacent sentence; and E. sequencing failure nodes according to the degree of suspiciousness and mapping orderly to the tested program to generate a failure positioning report to assistant the user to examine the failures. With the adoption of the method provided by the invention, the calculating workload of sentence analysis can be reduced, and the failure positioning efficiency is improved by taking logic relationships among the sentence nodes into consideration.

An apparatus for deriving a consultation result communicating with an interlocutor apparatus on the basis of Resource Description Framework (RDF) triples is provided. It includes a user decision making information management unit, an input sentence analysis unit, a consultation unit configured to collect a set of RDF triples concerning the keyword of the input sentence from the RDF triple repository, to send the keyword of the input sentence, a set of RDF triples converted from the input sentence and a set of RDF triples concerning the keyword of the input sentence to an interlocutor apparatus, to create a set of final consultation triples by checking and modifying some consultation triples received from the interlocutor apparatus, and a consultation result output unit configured to create a consultation sentence from the final consultation triples.

A photo image retrieval system that stores a plurality of photo images and a plurality of text data, and extracts and displays any of the photo images using an input retrieval sentence as an index. The system includes: a photo image database that records data of the photo images together with information about image capture dates; a text database that stores thereon the text data; a text data analysis unit that parses the text data in the text database, and extracts words of the text data; an index database that establishes a correlation, for recording, between information about the words extracted by the text data analysis unit and information about dates when the text data is entered; a retrieval sentence analysis unit that parses the input retrieval sentence, and extracts a retrieval word in the retrieval sentence; a date information extraction unit that extracts, using information about the retrieval word in the retrieval sentence as an index, any of the information about the date when the text data including the retrieval word is entered by referring to the index database; a photo image extraction unit that extracts, using as an index the date when the text data including the retrieval word is entered, any of the photo images captured on the date by referring to the photo image database; and a display unit that displays the photo image extracted by the photo image extraction unit.

The invention discloses an intelligent question-answering method and system based on a power grid domain scheduling scene knowledge graph. The method comprises the following steps: obtaining questioncorpora in a power grid domain scheduling scene; performing named entity identification on the problem corpus to obtain a named entity identification result; converting the named entity identificationresult into entities and attributes in the knowledge graph; carrying out sentence pattern classification on the converted result to obtain a sentence pattern classification result; conducting semantic analysis on sentence pattern classification results, and if sentence analysis results are understandable sentence patterns, extracting triple information related to the knowledge base; generating acypher query statement based on the triple information; obtaining a query result from the Neo4j knowledge base; and inputting the query result into a question and answer template in the scene classification model to generate an answer. Semantic analysis is performed on questions through a natural language processing technology, entity links and attribute links are combined to be converted into gallery query statements, results are queried from a knowledge base, and answers are obtained in combination with question and answer templates.

The invention discloses to a semantics analysis method for verb ambiguous structure slaking in sentence analysis. It includes semantics mode construction that is used to express ambiguous structure and semantics analysis method used to realize judgment, slaking and computing to ambiguous structure. The advantages of the invention are that: transforming the ambiguous structure to sentence and making computing, and inference procedure of the ambiguous structure reasonable.

The invention relates to a sentence analysis system for English grammar learning, which relates to the technical field of English learning. The system comprises a shell; the front side of the shell is provided with a touch display screen; the shell is internally provided with a memory, a CPU and a speech recognition chip; two horns are symmetrically arranged at the upper edge of the front side of the shell; a microphone is arranged at the lower edge of the front edge of the shell; the CPU is respectively connected with the memory, the horns, the touch display screen and the speech recognition chip; the speech recognition chip is connected with the microphone; English texts and speech in the standard grammar and corresponding Chinese texts and speech are stored in the memory; the CPU compares reading and writing information with the English texts and the speech in the standard grammar stored in the memory; the touch display screen displays right or wrong information and the English texts in the standard grammar; and the microphone simultaneously outputs the speech in the standard grammar. The problems that the English grammar can not be learnt and analyzed in the prior art, and the learning effects are not ideal can be solved.

Provided is at least one processor, and the processor is configured to analyze an image to derive property information indicating a property of a structure of interest included in the image, generate a sentence related to the image based on the property information, analyze the sentence to specify a term representing the property related to the structure of interest included in the sentence, and collate the property information with the term.

The invention provides a sentence analysis method and system based on semantic and syntactic structures. The method comprises the following steps of 1, inputting an original sentence; 2, utilizing the original sentence for generating a preliminary training corpus; 3, obtaining an artificially-corrected training corpus, and defining the training corpus as a middle training corpus; 4, verifying the correctness of middle training corpus labels, and if the labels of the middle training corpus are correct, defining the middle training corpus as a final training corpus and executing the step 5; otherwise, executing the step 3 circularly; 5, inputting the final training corpus into a training model, and generating the training corpus needed by a user in a semi-automatic mode. The training corpus generation efficiency is improved, customization training corpus can be used for training the model, and the correctness of the training corpus can be improved; a result of visualizing semantic role labels is provided; various models can be trained under the same system, and therefore the overall efficiency of the system is improved.

The invention relates to a detection method of a national cipher SM4 block cipher algorithm. According to the method, a lexical, grammatical and semantic analysis method is applied to the detection ofthe national cipher SM4 algorithm, an input test source code is searched for the characteristic values of the national cipher SM4 algorithm for matching, and the characteristic values of the nationalcipher SM4 algorithm are all fixed parameters, so that the algorithm structure has certain regularity. The method is characterized by then designing a word and sentence analysis method of a program language, scanning a source code file character by character by using a lexical analysis method, and identifying the characteristic parameters of a program keyword and a national density SM4 algorithm;combining the processed source code files into syntax phrases by using a syntax analysis method, generating an abstract syntax tree and recording array names of SM4 characteristic parameters; and then using the semantic analysis for type review, and constructing an SM4 linked list according to the syntax tree and an SM4 feature array name; and finally, completing the detection of the SM4 algorithm according to the SM4 linked list.

The invention discloses a sorting system and method based on the natural language analysis. The system comprises a data acquisition module, a data storage preprocessing module, a data retrieval preprocessing module, a database, a business rule module, a natural language analysis system, a data index module and a retrieval display module. The data acquisition module is used for acquiring text data;the business rule module is used to set the rules of the business domain violation words and the business derived vocabulary, and the natural language analysis system is used to extract keywords andsemantic fragments. The data index module is used for creating the index and storing the index pieces in the data index library. The retrieval display module is used for visually outputting the retrieval results after sorting. Through the natural language analysis system, the invention analyzes the content to be analyzed, and obtains relevant keywords and semantic segments. Through the establishment of the relevant business rules and the business derivatives vocabulary, the natural sentence analysis system is perfected to analyze the same type of depth and breadth.

Embodiments of the invention provide a bad information identification method and a device. The method comprises the steps of obtaining to-be-identified text information; processing the to-be-identified text information by utilizing a syntactic analysis tree to obtain a to-be-identified structure corresponding to the to-be-identified text information and to-be-identified constituent words; judgingwhether the to-be-identified structure is matched with a tree structure of a preset tree rule; if the to-be-identified structure is matched with a tree structure of a preset tree rule, matching the to-be-identified constituent words with constituent words of the preset tree rule; if the to-be-identified constituent words are matched with the constituent words of the preset tree rule, identifying the to-be-identified constituent words; according to the method, sentence analysis is carried out on the text, and matching analysis is carried out on the text, the tree structure of the preset tree rule and the composition words in sequence, so that the problem that the traditional rule-based bad information identification generalization ability is low is solved, and the identification efficiency,accuracy and coverage rate of the bad information can be improved.