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.

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.

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.

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.

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.