22 results about "Language technology" patented technology

The invention relates to the technical field of computer programming languages, and particularly discloses a computer language programming method based on business logic. Aiming at the defects of deep coupling of business logic and technology implementation, high cross-domain adaptation cost, hardware operation code redundancy, high asynchronous programming complexity and the like in the prior art, the invention provides the following core schemes: a modularized development framework, a cross-platform adaptive mechanism, an event hierarchical model, a hardware intention analysis engine and a code, namely a document system. According to the method, the development complexity of a multi-field system is remarkably reduced, the business logic expression efficiency and maintainability are improved, the method is suitable for cloud micro-services, embedded equipment and mixed language scenes, and a technical basis is provided for intelligent programming.

This disclosure relates to method and system for mixed language text understanding for Generative Artificial Intelligence (GenAI) models. The method may include receiving a raw parallel corpus of two languages. The method may further include generating a cross-domain codemix parallel corpus and a first set of linguistic features from the raw parallel corpus using statistical and linguistic techniques. The method may further include determining a complexity of each of the plurality of samples of the cross-domain codemix parallel corpus based on a set of complexity parameters. The method may further include sequentially fine-tuning a pre-trained multilingual translation model using each of the plurality of samples in the curriculum learning dataset to obtain a generic pre-trained codemix understanding model.

The present invention provides a character recognition method and system based on language technology, which relates to the field of financial bill recognition. The method includes: obtaining a bank bill image, dividing the bank bill image into grids, and screening according to the fractal dimension of each grid area to obtain a first character candidate area; taking the pixels of the first character candidate area as nodes and calculating topological invariants to eliminate abnormal areas according to the topological invariants to obtain a second character candidate area; generating a topographic map by brightness mapping according to the fractal dimension of the second character candidate area and performing dynamic segmentation path planning on the topographic map to obtain a third character candidate area; performing adhesion detection on the third character candidate area and elastically separating the adhesion points to obtain a target character area. The present invention can accurately distinguish adhesive characters, solve the problem of adhesion of microtext; and can retain the stroke continuity while separating the adhesive area.

The invention discloses a target detection method, electronic equipment, a storage medium and a program product, belongs to the technical field of computer languages, and is used for reducing the time delay of target detection of a large model. The method comprises the following steps: preprocessing a to-be-detected image to obtain a mapping feature sequence of the to-be-detected image in a text embedding space; preprocessing category text information of a target object in the to-be-detected image to obtain a text embedding sequence of the category text information in the text embedding space; and determining detection features of the target object according to a preset query vector, the mapping feature sequence and the text embedding sequence.

In order to prevent semantic data leakage, one or more semantic interpretations of an input text are obtained using a generative pre-trained translator (GPT), where the GPT is to interpret the input text with reference to a target context; and determining whether the input text includes hidden data leaks by checking the semantic interpretation of the input text using a data leak prevention (DLP) system, where the DLP system is used to detect data leaks based on a set of words and phrases of interest. Accordingly, it is possible to prevent hidden data leakage when sensitive information is hidden in text (e.g., by a high-level language technology).

The invention discloses an emotion perception feedback action type non-linguistic interaction robot, which comprises an emotion perception module, a feedback action module and a non-linguistic interaction module, and is characterized in that an emotion perception result is firstly used for judging a target needing to take action; whether the target negative emotion is relieved before and after the action and the relieving degree are evaluated; the feedback action is to increase or decrease the weight of the action in the action library and increase or decrease the occurrence probability of the action based on the evaluation result of the emotion perception on whether the negative emotion is relieved and the relieving degree after the action is adopted; according to the non-language interaction, the robot does not adopt the voice recognition technology and the artificial intelligence language technology, and the robot interacts with the target only through non-language actions. The method has the prominent advantages of prominent effect, excellent environmental adaptability and easiness in popularization.

The invention provides an industrial chain intelligent description method and system based on a thinking map. The method comprises the following steps: determining entity attributes corresponding to different industrial entities in an industrial chain according to multi-source industrial data and an entity relationship between the different industrial entities to construct an industrial chain ontology model, in the process of operating the industrial chain ontology model, using a natural language technology and a graph algorithm extraction technology to obtain operation knowledge corresponding to each industrial entity, generating a knowledge database, using the knowledge database to derive an industrial chain structure and an industrial chain risk of an industrial chain, using the industrial chain ontology model to simulate the industrial chain risk, and using the industrial chain ontology model to simulate the industrial chain risk. According to the method, a plurality of risk features included in an industrial chain structure are determined, a visualization technology is utilized to simulate the industrial chain structure and a scene corresponding to the risk features, a real-time knowledge system of an industrial chain is obtained and displayed, and work such as supply chain optimization and industrial planning can be better served by constructing the dynamically updated industrial chain knowledge system.

The invention relates to an agent workflow-based big language technology practice learning platform and a construction method, and the platform comprises an account management module which is used for creating at least one learning account, and / or modifying the account information of a to-be-corrected learning account, and / or deleting a to-be-deleted learning account; the construction module is used for constructing a knowledge database of at least one knowledge field based on an enhanced retrieval generation technology; the interaction module is used for performing learning interaction with the learner; the application development module is used for carrying out application development based on the development requirements; and the control module is used for determining a to-be-interacted module from the construction module, the interaction module and the application development module when a learning request is received, so that the to-be-interacted module executes a dialogue action and a data processing action based on the learning request. Therefore, the problem of relatively high use cost caused by large construction resource demand and relatively weak expandability of a learning platform in related technologies is solved, the applicability of a practical learning platform is improved, and the use cost is reduced.

The invention discloses a harmful text content detection method and device, electronic equipment and a storage medium, relates to the technical field of natural languages, and mainly aims to solve the problem of poor text detection accuracy caused by missing detection and false detection of harmful text content. The method comprises the steps of performing sensitive word matching on a to-be-detected text statement based on a first data set, wherein the first data set comprises a plurality of sensitive words; performing first detection on the text statement matched with the sensitive word based on a semantic detection model to obtain a first detection result, the semantic detection model being obtained by performing model training on a lightweight natural language processing model based on a second data set, statement samples in the second data set are statements including sensitive words and having harmless meanings; and performing second detection on the harmful statements in the first detection result based on a large language model to obtain a second detection result, and generating a harmful text content detection result based on verification information of the second detection result.

The invention discloses a news text generation method based on a text style, and relates to the technical field of false news text research. Comprising the following steps: S1, replacing sentences highlighted by real news with credible but false information through a language loading technology by using a seq2seq model; and S2, performing feature analysis and detection on the generated text by using a pre-training language model. According to the method, a new training corpus is generated through a seq2seq technology based on obviously different text styles and potential intentions, sentences of highlighted text styles and potential intentions of real news are replaced with credible but false information by the training corpus, and the false news detection method based on the text styles is provided accordingly. According to the method, the style characteristics of the false news are obtained by utilizing the pre-training language model, so that the training efficiency and the generalization ability of the model are improved, and the reliability of a false news detection system is guaranteed on the basis.

The application discloses a method and system for mining PQL based on a large language model analysis process, and relates to the technical field of process query language, and the method comprises the following steps: S1, establishing a large language model; S2, knowledge base and explanation preparation; S3, PQL analysis prompt; S4, PQL statement explanation; S5, local highlight display; and S6, PQL statement fine tuning. The method and system can parse the PQL statement input by the user by using the large language model, and convert the PQL statement into natural language text that is easy to understand, so as to help the user quickly understand the specific meaning of the PQL, thereby reducing the understanding requirement of the user for the PQL statement while facilitating the reading and understanding of the user by feeding back the natural language analysis result with high readability without manual intervention.

The invention provides an intelligent question and answer processing method, system and device and a medium, and the method comprises the steps: obtaining a question text of a user; the question text is input into an intention recognition model for intention recognition, intention label information output by the intention recognition model is obtained, and the intention label information is used for indicating a plurality of different target execution strategies corresponding to the question text, the target execution strategy is a rule matching strategy, a graph query strategy, a deep reasoning strategy or a legal document task strategy; according to all the target execution strategies, performing strategy processing on the question text to obtain an intermediate answer corresponding to each target execution strategy; and performing content optimization on all the intermediate answers to obtain a target answer of the question text. The method can effectively improve the practicability of knowledge questions and answers, and is beneficial to improving the efficiency of legal document processing. The invention relates to the technical field of natural languages.

This invention provides a dialogue processing method, apparatus, and computer-readable storage medium, belonging to the field of natural language processing technology. The dialogue processing method includes acquiring multiple sets of dialogue streams; determining at least one topic boundary based on the semantics of the multiple sets of dialogue streams; segmenting all dialogue streams into at least two topic segments based on each topic boundary; assigning dynamic weights to memory items in each topic segment, wherein each memory item stores at least one piece of memory information; the dynamic weights are determined at least based on the timeliness of the memory item, its relevance to the current query, and its coherence with the current topic; and, in response to the current dialogue, acquiring multiple candidate memory items from all topic segments, and, based on the dynamic weight of each candidate memory item, filtering and outputting a set of memory items that meets a target length from the multiple candidate memory items.

The application provides a kind of electric power equipment asset management data belonging to class and group recommendation method, comprising: using natural language technology to process the text data of electric power asset management system, obtain effective text data;Effective text data is handled to entity, and knowledge graph is constructed based on entity result;According to the topological structure information of knowledge graph, the influence of knowledge graph node is calculated;Extract the standard entity of user input asset information, and extract the subgraph from knowledge graph that matches the standard entity;According to the theme probability distribution and node influence of matched subgraph, the recommended asset class and asset group are obtained.The application solves the problem that the existing recommendation method for electric power asset data management platform has low recommendation accuracy.

The invention discloses a special medical consultation reply generation method and device, terminal equipment and a storage medium, and belongs to the technical field of natural languages, and the method comprises the steps: obtaining an image text splicing feature according to image data and first text data inputted by a user; a plurality of expert feed-forward networks are selected through a routing network, image text splicing features are processed in parallel through all the expert feed-forward networks, feature processing results of all the expert feed-forward networks are fused in a gating weighting mode, a reasoning result is obtained, evidence retrieval is conducted on the reasoning result through a retrieval enhancement technology, and consistency checking is conducted. When the consistency check is passed, generating a text reply according to a reasoning result; and extracting a text condition constraint from second text data input by the user, and injecting the text condition constraint into the improved condition diffusion model through an attention layer to obtain an image reply. The problem that large model generation reply accuracy is low under the specialized background can be solved.

The present invention discloses an intelligent office assistant system based on natural language processing, which relates to the field of natural language processing technology. When the system is in operation, it obtains user query behavior data to generate a user behavior feature vector B, and uses natural language technology to analyze the user's actual needs to generate a user intention vector I. Subsequently, a similarity calculation is performed with the entry vector R of the rules and regulations inventory to generate a matching result sim(I, R). A personalized recommendation list TC is then generated and compared with the push execution threshold TZ to accurately control the pushed content. The push execution threshold TZ is adaptively adjusted based on the user's operation record after receiving the pushed content, achieving dynamic response to changes in user needs. This provides a comprehensive and efficient solution, overcomes the problem of inaccurate matching caused by relying on keyword searches, effectively avoids the phenomenon of redundant or inconsistent pushed content, and significantly improves information matching efficiency and user satisfaction.

The invention discloses an electric power field hidden danger analysis method, system and device based on a large model and a medium, and relates to the technical field of natural languages, and the method comprises the steps: constructing an electric power hidden danger map according to an accident hidden danger case of a target electric power system; initializing learnable prompt vectors for each type of nodes and edges of the electric power hidden danger map, inputting the learnable prompt vectors into the pre-training large model, and generating a target semantic embedding representation; according to the target semantic embedding representation, performing similarity weighted analysis on the semantic embedding representation between each node and the corresponding neighbor node to generate an enhanced node representation; inputting the enhanced node representation into a preset expert routing model for training, wherein the expert routing model is designed to introduce a task decomposition mechanism and a multi-target joint loss function for dynamic tuning; and inputting target user query information into the trained expert routing model to carry out efficient query, and outputting to obtain an accurate and reliable power field hidden danger coping scheme.

The invention relates to the technical field of natural languages, in particular to a conference summary generation method and device, computer equipment, a storage medium and a product. The method comprises the following steps: acquiring a key frame image under at least one reference moment displayed in a video conference and audio data of the video conference; performing data splitting on the audio data to obtain audio sub-data at each reference moment; performing data fusion on the key frame image and the audio sub-data at each reference moment to obtain a conference summary of the video conference; according to the method and the device, the multimodal information of each reference moment in the video conference is subjected to summary generation, so that the conference summary contains the visual information in the video conference, and a user can conveniently search specific conference content from the conference summary in the later period.

The invention discloses a system language setting method and device, electronic equipment and a storage medium, and relates to the technical field of system languages. The method comprises the following steps: acquiring a first language code of each first to-be-loaded language stored in the electronic whiteboard, and calculating a matching degree between each first language code and a current language code to obtain a plurality of first matching scores; determining a first target matching score with the maximum value from the plurality of first matching scores; taking a first to-be-loaded language corresponding to the first target matching score as a target language; thus, the target language most matched with the current language code of the current position of the electronic whiteboard is selected from the multiple first to-be-loaded languages, the language used by a local user is the same as the current language code of the current position, and therefore the target language is set as the system language of the electronic whiteboard, and the user experience is improved. The probability that a system language is matched with a language used by a user can be improved, so that the difficulty of using an electronic whiteboard at the beginning of the user is reduced.

The present disclosure relates to a system and method for generating and / or publishing a multilingual technical publication. The method includes obtaining a technical publication structure tree in a first language, a manual preface in the first language and its content generation rules, mapping relationships and mutual translation relationships between entities in the first language and entities in other languages; creating data modules and entity instances; filling the content of the first language into the content container corresponding to the language in the data module, and generating the content of the manual preface in the first language according to the content generation rules of the manual preface; filling the content of other languages into the content container corresponding to the corresponding language in the data module according to the mapping relationships and mutual translation relationships, and generating the content of the manual preface in the corresponding language; checking whether the content parts of the multilingual are consistent; and in the case of consistency, automatically generating a multilingual technical publication according to the technical publication structure tree, the data module and the content of the manual preface.

This invention discloses a semantically anchored, approximate contrastive learning method and system, relating to the fields of vision and language technology. It involves acquiring image and text data; extracting image embedding vectors and text embedding vectors using an image encoder and a text encoder, respectively; updating dynamic image and text queues through cross-modal momentum contrast and constructing a fused multimodal representation, which serves as a shared semantic anchor; progressively calibrating the image and text embedding vectors towards the shared semantic anchor within the contrastive learning framework to generate calibrated image and text embedding vectors; and performing image-text retrieval based on the calibrated image and text embedding vectors. This invention relaxes the strict requirement for complete semantic alignment of positive sample pairs, effectively mitigating cross-modal semantic bias.

The invention relates to the technical field of water conservancy project construction management, and discloses a water conservancy project construction project collaborative management method and system, and the method comprises the steps: integrating multi-source initial data in an encryption state through employing a federal learning algorithm, and generating a global construction knowledge graph; task work order automatic circulation and information sharing of a construction project are carried out through a real-time communication engine, the construction project is disassembled into a plurality of subtasks, and the priority, the dependency relationship and the resource demand of each task are marked; based on the global construction knowledge graph, a key path method is combined with a particle swarm optimization algorithm, resource constraints and environmental factors are integrated, a construction progress reference plan capable of being dynamically adjusted is generated, and a task execution state is recorded through a block chain; a natural language technology is utilized to intelligently classify and retrieve design drawings, contract files and acceptance reports, so that all participants share information in real time; according to the invention, real-time sharing of project information and efficient communication and cooperation among participants are realized.