17 results about "Word processing" patented technology

The application provides a query word processing method and device, electronic equipment and storage medium, relates to the technical field of data processing, and aims to improve the experience of searching by a query word. The method comprises the following steps: acquiring a current query scene; acquiring a plurality of candidate query words matched with the current query scene according to the current query scene; estimating the search result of each of the plurality of candidate query words and the total probability of the search result being performed by a user; screening a plurality of to-be-displayed query words from the plurality of candidate query words according to the search result of each of the plurality of candidate query words and the corresponding total probability; and displaying the plurality of to-be-displayed query words.

The prompt word determination method, device, electronic equipment and storage medium provided by the present application relate to the technical field of prompt word processing. The method obtains baseline prompt words and a test case set based on a preset service requirement; performs multi-round response testing on a target model by using the baseline prompt words and the test case set, obtains model behavior logs corresponding to each round of response testing, and obtains a prompt word position effect matrix and a vocabulary sensitivity knowledge base based on the model behavior logs corresponding to each round of response testing; and performs mixed variable space search processing by using the prompt word position effect matrix, the vocabulary sensitivity knowledge base and the model behavior logs corresponding to each round of response testing, to obtain effective prompt words, thereby improving the optimization efficiency of prompt words and enhancing the verifiability of results.

The application relates to the technical field of office automation, and particularly discloses a keyword-driven intelligent generation method and system for a bidding document and a storage medium. The method is implemented through an automatic program deeply integrated in a word processing software (such as Microsoft Word) and aims at the pain points of low manual operation efficiency, errors and non-uniform formats in the existing bidding document preparation process. The core of the method comprises the following steps: intelligently analyzing a bidding document, extracting structured format features and content keywords of the bidding document; constructing and managing a bidding material knowledge base with metadata labels; based on the extracted keywords, performing multidimensional intelligent retrieval and optimal matching in the knowledge base; automatically filling the matched material content into a new document according to the structure of the bidding document, and applying accurate automatic layout. The application realizes intelligent generation from a bidding document to a standardized bidding document, significantly improves the preparation efficiency and quality, and reduces human errors and compliance risks.

This application provides an AI question-and-answer guidance method, comprising: loading an editing function database; detecting the software environment and dynamically adjusting the layout of the AI ​​question-and-answer interface according to the editing function database; receiving a function query command in text or voice form; after the voice query is converted to text, the semantics are parsed using a multimodal query intent recognition algorithm to identify the target function; and retrieving relevant information of the target function through a function database retrieval and matching algorithm, generating a text reply containing the function's purpose and core operation logic on the AI ​​question-and-answer interface, and embedding a function guidance button. The AI ​​question-and-answer guidance method provided in this application establishes a linkage mechanism between AI question-and-answer and editing software functions, realizing a closed-loop process of function query, intelligent guidance, and operation guidance, thereby improving the efficiency of user function search and user experience. This application also provides an AI question-and-answer guidance device and an electronic device.

The embodiment of the application discloses an AI large model cooperative method and system based on multi-dimensional prompt word processing, which comprises the following steps: receiving an input prompt word from a user; calling a lightweight intent recognition model to judge the structured constraint depth of the response to the user input as the target cooperative level; according to the judgment result, calling the target dimension feature module corresponding to the target cooperative level in the multi-dimensional prompt word processing model; filling the feature data into the target dimension feature module to generate a structured output prompt word; the feature data includes feature data corresponding to the input prompt word, a target entity file associated with the user, etc.; sending the output prompt word to the AI large model for processing to obtain the output result of the AI large model. The application can adaptively adjust the calling depth of the multi-dimensional prompt word processing model, and make the output result of the AI large model change from a general suggestion to a customized scheme that fits the target entity, accurately meeting the individualized cooperation needs of the user.

The application provides a font generation method, device, electronic equipment and system, and relates to the technical field of word processing. The method comprises the following steps: obtaining a standard stroke sequence of a to-be-generated character, and extracting a first character content feature of the standard stroke sequence; obtaining a first single-character image in a handwritten character image, and inputting the first single-character image into a style feature extraction model to obtain a first writing style feature output by the style feature extraction model; extracting a second character content feature of the first single-character image, and removing the second character content feature from the first writing style feature to obtain a second writing style feature without content information; and inputting the first character content feature and the second writing style feature into a decoder to obtain a first target style character corresponding to the to-be-generated character output by the decoder, wherein the decoder is used for fusing a character content feature and a writing style feature. The technical scheme provided by the application can generate personalized fonts and improve the personalization degree of the fonts.

For example, a computing system is provided that includes a machine learning agent which may be required to perform various editing tasks in a word processing application or other text generation environment. The machine learning agent may include one or more machine learning-based language models trained on a set of training data that provides examples of editing performed on long-form text.

The application provides a character recognition method and device, a storage medium and an electronic device, and relates to the technical field of character processing. The character recognition method comprises: disassembling a to-be-recognized character to obtain a component sequence of the to-be-recognized character, the component sequence comprising at least one component element, and the at least one component element being combined to form the to-be-recognized character; if each of the at least one component element corresponds to a writing template, determining feature data of each of the at least one component element; determining feature data of the writing template corresponding to each of the at least one component element; and determining a wrong character recognition result corresponding to the to-be-recognized character based on the feature data of each of the at least one component element and the feature data of the writing template corresponding to each of the at least one component element. Through the scheme in the application, not only wrong character recognition can be performed, but also different character and correct character recognition can be performed, and the recognition accuracy of the to-be-recognized character is effectively improved based on the feature data of the writing template.

This application provides a method, apparatus, and electronic device for processing prompt words using a large-scale language model. The method includes: automatically generating initial prompt words using a large-scale language model; performing synonym replacement processing on words in the content information corresponding to each content module to obtain first candidate prompt words; reconstructing sentences in the content information corresponding to each content module to obtain second candidate prompt words; updating the module structure of the content modules in the second candidate prompt words based on the model output to obtain third candidate prompt words; extracting common information from the content information in the third candidate prompt words, and updating the third candidate prompt words based on the extracted common information to obtain fourth candidate prompt words; and scoring and optimizing the fourth candidate prompt words to obtain the target prompt word. This application can automatically generate prompt words and can comprehensively improve the prompt words from the text level to the structural level, thereby improving the accuracy of the prompt words.

The application relates to the field of computer word processing, in particular to a Chinese blind translation method, system and device combined with rules. The method comprises the following steps: obtaining Chinese character data to be translated; inputting the Chinese character data to be translated into a large language model to obtain Braille translation; the large language model comprises a word embedding layer, a learnable rule layer, an encoding layer and a decoding layer; the Chinese character data to be translated is input into the word embedding layer to generate a word vector, and is input into the learnable rule layer to generate a rule vector; the word vector and the rule vector are fused to obtain a constraint enhanced feature vector; the constraint enhanced feature vector is input into the encoding layer to be encoded, and then is decoded through the decoding layer to obtain the Braille translation. The application combines Braille conversion rules, can solve the problem of converting Braille for multi-sound Chinese characters, and has good application value.

Computer-based processes are disclosed for analyzing and improving document readability. Document readability is improved by using rules and associated logic to automatically detect various types of writing problems and to make and / or suggest edits for eliminating such problems. Many of the rules seek to generate more concise formulations of the analyzed sentences, such as by eliminating unnecessary words, rearranging words and phrases, and making various other types of edits. Proposed edits can be conveyed, e.g., through a word processing platform, by changing the visual appearance of text to indicate how the text would appear with (or with and without) the edit.

The application discloses a scene text processing method and device, equipment and product, and relates to the technical field of data processing. The method comprises the following steps: acquiring a multi-modal control signal of a to-be-edited text image, wherein the multi-modal control signal comprises a source image, an erasing mask image, a structure guide image, a style reference image and a target editing instruction; performing feature coding on the multi-modal control signal based on a preset variational autoencoder and a visual language model to obtain corresponding mixed latent features; and performing fusion processing on the mixed latent features based on a preset diffusion model to generate an edited target text image, wherein the preset diffusion model comprises a plurality of diffusion model modules connected in series, and each diffusion model module comprises a superimposed reference position coding mechanism and a region adaptive suppression mechanism. The application realizes decoupling of space layout control and style control of the to-be-edited text image through the above scheme, and can output a high-quality and natural scene text processing result at one time.

This invention discloses a method and system for integrating search and enhanced generation capabilities. The method includes: S1 constructing a basic SQL set, where each basic SQL corresponds to a preset business intent and includes placeholder condition fields; S2 establishing a mapping relationship between fields and noun types; S3 performing intent analysis using a large language model to match the basic SQL; S4 performing query condition reasoning, extracting specific nouns, and performing extended word generation and compound word processing; S5 generating complete SQL according to rules; S6 executing the SQL and dynamically correcting the query results to meet context length requirements; and S7 combining the question and result and inputting them into the large language model to generate an answer. This invention does not require a vector database, adapts to small parameter models, is low-cost, and has strong real-time performance, and can be widely applied to various traditional business systems that require integrated AI dialogue capabilities.

The prompt word processing method, device, equipment, medium and program product provided by the application relate to the field of blockchains. The method comprises the following steps: receiving a prompt word request sent by a client; generating a trace identifier for prompt word information according to the prompt word request; generating a gateway event according to the trace identifier and the prompt word request; uploading the gateway event into an unalterable storage medium; and sending the prompt word request and the trace identifier to a processing module, so that the processing module generates an event record when processing the prompt word request, and uploads the event record into the unalterable storage medium to form a processing link record associated with the trace identifier. The method provided by the application improves the traceability of prompt words and enhances the compliance of processing.

An AI-centric document editing platform is disclosed that integrates a drafting module, a review module, an agent module, and a context processing engine to transform traditional word processors into AI-orchestrated environments. The platform may include reasoning objects comprising prompts, agents, writing styles, and training datasets organized into portable AI repositories. A context assembly system may dynamically generate section-specific sub-files from training datasets and invention materials without model fine-tuning. The platform may reverse-engineer prompt sequences from exemplar documents and execute prompt stacks tailored to document type and cursor position. Injectable islands may provide metadata-rich edit proposals with smart-find, smart-replace, and tracked-change semantics. The system may implement supervised sharing models enabling law firms and clients to exchange repositories under auditable controls. Provenance tracking may trace each generated text span to specific reasoning objects, context materials, and confidence scores, ensuring consistent, legally defensible outputs across patent applications, contracts, and other professional documents.

The disclosure relates to a neural stimulation system (100) for supporting speech and / or language skills of a user (120), comprising: —an electrical stimulation unit (202) that is configured to generate an electrical stimulation signal for the brain (130) of the user (120), wherein the neural stimulation system (100) is configured to support the user (120) by stimulating areas of the brain (130) of the user (120) that are involved in speech and / or language processing and by using stimulation parameters to generate the electrical stimulation signal that are appropriate to enhance the word processing of the user (120).

This invention relates to an end-to-end automated generation and processing method and system for loopable game special effects. It constructs a regularized game special effects video dataset, adjusts the parameters of a pre-trained video generation base model to obtain a vertical game special effects generation model, acquires user input information and inputs it into the vertical game special effects generation model to generate game special effects videos with low-brightness backgrounds, processes the generated game special effects videos, and outputs a sequence of frame images adapted for game engine rendering. The system includes a user end and a server end. The server end includes a prompt word processing module, a model routing and generation module for storing the model and executing the method, and a post-processing module. This invention significantly reduces the production cost and usage threshold of professional game special effects, ensures high availability and standardization of the generated results, smoothly connects the beginning and end of the generated sequence of frames, and ensures that the generated special effects strictly conform to the logical constraints of game design while taking into account creativity and controllability, thus constructing an efficient data production pipeline.