56 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.

A question answering system includes a question-sentence analysis unit, a search unit, an answer-candidate extraction unit, a check-expression generation unit, a check-expression search unit and an answer-candidate correction unit. The question-sentence analysis unit extracts a keyword applied to a search process from an input question sentence. The search unit executes the search process with using the extracted keyword. The answer-candidate extraction unit extracts answer candidates for the input question sentence based on a search result. The check-expression generation unit analyzes the input question sentence to generate a check expression concatenating an analysis result and the extracted answer candidates. The check-expression search unit executes a search process based on the generated check expression. The answer-candidate correction unit selects an output answer to the input question from among answer the candidates based on a search result.

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.

Character data of a word or phrase in a document is designated. Desired data is retrieved from a predetermined database on the basis of the designated character data. One sentence including at least the designated character data is cut out and subjected to sentence analysis. On the basis of a sentence analysis result, specific data is selected from the retrieval result acquired from the database. In addition, character data of a word or phrase in a document is designated. One sentence including at least the designated character data is cut out and subjected to sentence analysis to extract a keyword. A retrieval condition is prepared on the basis of the extracted keyword, and desired data is retrieved from a predetermined database on the basis of the retrieved conditional expression.

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.

This invention relates to a computer information search system based on the understanding of natural languages and a search method, in which, the search is started by the interrogative sentence input by a user and the system outputs a sequential answer according to the related program of the semantic meaning, first of all, articles from the internet and data from the content database are processed by the HNC sentence analysis module to get a being selected solution sentence repository with labels, then the interrogative sentences input by the user is processed by the HNC analysis module to get the HNC structure to enter into the interrogative analysis module for analysis to generate an equal semantic target sentence mode sequence then concept similarity computation is carried out to the words and expression blocks in the being selected solution sentence and target solution sentence mode in the repository by a sentence mode matching module to compare the being selected and target sentences to get the marks of accuracy for the result of the sentence mode match, the semantic relation structure identification match result and the solution to array in terms of the correctness and feeds back the result.

The invention discloses a non-relation type database and relation type database integrated data query method and system. The method comprises steps as follows: S1: a query sentence is input into a query sentence analysis module through a uniform query interface; S2: the query sentence analysis module analyzes the query sentence and then sends the query sentence to a query sentence execution module; S3: the query sentence execution module sends the query sentence to an in-memory database for data query, and if query data exist, the step S5 is performed; if query data don't exist, the next step is performed; S4: a query result obtained in a bottom-layer storage module is processed by a model transformation and data migration module and sent to the in-memory database to be saved, and the step S3 is performed again; S5: the query sentence execution module sends the query result to an application program through a uniform query interface. The bottom-layer complicated environment can be shielded for an upper-layer application program, and a uniform data access interface is obtained.

A high-precision semantic search system oriented to the judicial field comprises a data layer, a word analysis layer, a sentence analysis layer, a sentence feature layer and an application layer, andthe data layer comprises data acquisition and structuralization and is used for collecting judicial data and structuralized data; the word analysis layer comprises fine-grained word segmentation and new word discovery, and is used for realizing correct segmentation of the text into words; the sentence analysis layer is used for performing part-of-speech analysis based on the segmented words, removing interference words according to a judicial scene, further extracting keywords of sentences and establishing a key vocabulary; the sentence feature layer is used for extracting sentence features; and the application layer is used for defining correlation based on the sentence features to realize text search.

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.

There are provided a system and method for providing information using a spoken dialogue interface. The system includes a speech recognizer for transforming voice signals into sentences; a sentence analyzer for analyzing the sentences by their structural elements; a dialogue manager for extracting information on speech acts or intentions from the structural elements, and generating information on system's speech acts or intentions for a response to the extracted information on speech acts or intentions; a sentence generator for generating sentences based on the information on the system's speech acts or intentions for the response; a speech synthesizer for synthesizing the generated sentences into voices; an information extractor for extracting information required for the response from the Internet in real time; and a user modeling means for analyzing and classifying users' tendencies. Information demanded by a user can be detected in real time and provided through a voice interface with versatile and familiar dialogues based on the user's tendencies.

The invention discloses an open dialogue method and system based on man-machine interaction, and the method comprises the steps: carrying out the voice input query by a user, carrying out the voice recognition by a search engine, carrying out the Lucene retrieval, and enabling the retrieval content to be a retrieval pair which is sorted through a corpus and pre-established with an index; transmitting the retrieval result to the mixed vector model, enabling the mixed vector model to generate a model through a pre-trained vector, answers are expanded, and then the expanded answers are transmitted to the sorting model; and enabling the sorting model to return a result through pre-trained parameters. According to the invention, related technologies in the field of natural language processing are utilized; The semantic and grammatical analysis of the questions and the literature library is emphasized, the questions are subjected to comprehensive and detailed semantic analysis, the method and the technology are applied to sentence analysis of the literature library, a standardized question type library is established, the types of the questions and the types of answers which should be answered are standardized, and the retrieval time is shortened.

A speech understanding apparatus includes: a speech recognition unit for recognizing an input speech to produce a speech recognition result; a sentence analysis unit for performing morpheme analysis on a sentence corresponding to the speech recognition result, extracting additional information, and performing syntax analysis; a hierarchy describing unit for describing hierarchy of the sentence; a class transformation unit for performing class transformation on the sentence; a semantic representation determination unit for marking optional expressions for the sentence, deleting meaningless expressions and the additional information, converting the sentence into its base form, and deleting morphemic tags or symbols to determine a semantic representation; a semantic representation retrieval unit for retrieving the determined semantic representation from an example-based semantic representation pattern database; and a retrieval result processing unit for selectively producing a retrieved semantic representation.

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 a calculation method of sentence similarity, which relates to the field of sentence analysis. The method comprises the following steps: acquiring a sentence pair to be calculated; calculating a semantic contribution degree of each word in the pair of sentences to be calculated to obtain a weight vector of the user statement and a weight vector of the standard statement; comparing each word in each sentence of the sentence pair to be calculated with the word of another sentence to obtain inter-word similarity, and calculating a similarity vector of the user sentence anda similarity vector of the standard sentence according to the inter-word similarity; calculating a sentence similarity between the user statement and the standard statement according to a weight vector and a similarity vector of the user statement and a weight vector and a similarity vector of the standard statement. The embodiment of the invention also provides a sentence similarity device and astorage medium, which can effectively improve the calculation efficiency of sentence similarity calculation and the credibility of the calculation result.

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.

A photo image retrieval system stores photo images and a text data, and extracts and displays any photo image using an input retrieval sentence as an index. A photo image database records photo images with information about image capture dates. A text database stores text data. A text data analysis unit parses the text data, and extracts words. An index database establishes a correlation between information about words extracted and information about dates when the text data is entered. A retrieval sentence analysis unit parses the input retrieval sentence, and extracts a retrieval word A date information extraction unit extracts information about the date when the text data is entered by referring to the index database. A photo image extraction unit extracts, using the date as an index, any of the photo images captured on the date. A display unit displays the extracted photo image.

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.