220 results about "Text editing" patented technology

The invention relates to the technical field of semantic recognition, can be applied to business scenes such as financial science and technology and medical health, and discloses an interactive code generation method, device and equipment and a medium. And a visual preview interface is generated in combination with the context, multi-round modification through interactive adjustment or text editing is supported, and finally user interface element codes are generated. According to the method, natural language processing, context sensing and visual interactive correction are combined, so that the closed-loop process of interface codes from generation to dynamic adjustment is realized, the customization degree and the service adaptability of a generated result are improved, and the problems that an existing tool template is rigid, semantic understanding is deviated, and a multi-round correction mechanism is lacked are solved.

A data processing system implements receiving a user marking of a textual area in a graphic design image; constructing a prompt including the image, the marking, and instructions to a generative model to identify character(s) in the area, to determine design context attribute(s) of the character(s) with respect to the image, and to create a new image based on one changed design context attribute, the attribute(s) including a character design and semantics of the character(s), and a position of the area in the image; providing the prompt to the model and receive the character(s), the attribute(s), and the new image; providing the character(s), the attribute(s), and the new image to a client device; and causing the client device to display at least one of the new image or an editable text box over the area in the image, the box showing the character(s) based on the attribute(s).

The invention discloses a stylized visual text editing method, a stylized visual text editing system, stylized visual text editing equipment and a storage medium, which are corresponding schemes, and the related schemes aim to solve the problem of style consistency existing in image text editing of an existing diffusion model, and the stylized visual text editing efficiency is improved by combining visual features of a font image and an input text image. The method comprises the following steps of: extracting style embedded information from a text image, and inputting the style embedded information as an enhanced style condition into a diffusion model to realize fine control on a diffusion process, so that the diffusion model can generate a text image with high readability and style consistency, and can realize maintenance of an original text style or style migration based on a reference image.

The invention relates to the technical field of small sample image classification, in particular to a small sample classification method for multi-granularity image-text prototype matching based on a task-driven structure. The method comprises the following steps: constructing a support set and a query set; inputting the two features into a multi-granularity feature set extraction network, and extracting low-level, middle-level and high-level image features by a multi-level image feature extraction network consisting of an image modal input improved ResNet12 and an embedded task-driven mapper selection module; the text mode calls a large language model (LLM) three times successively to progressively generate word-level, sentence-level and paragraph-level semantic descriptions, and a text editor is combined to form multi-view text features; the image and text feature set is input into a semantic graph interactive fusion network, and multi-level information fusion is realized through node and edge construction, cross-modal attention, graph convolution and a gating mechanism; the matching score of each layer is calculated through the fusion features through a multi-granularity prototype matching network, so that classification prediction is carried out, and the performance of the model is optimized by adopting a multi-granularity composite weighted loss function in a training stage.

The present disclosure relates to systems, methods, and non-transitory computer readable media for utilizing a diffusion prior neural network for text guided digital image editing. For example, in one or more embodiments the disclosed systems utilize a text-image encoder to generate a base image embedding from the base digital image and an edit text embedding from edit text. Moreover, the disclosed systems utilize a diffusion prior neural network to generate a text-image embedding. In particular, the disclosed systems inject the base image embedding at a conceptual editing step of the diffusion prior neural network and condition a set of steps of the diffusion prior neural network after the conceptual editing step utilizing the edit text embedding. Furthermore, the disclosed systems utilize a diffusion neural network to create a modified digital image from the text-edited image embedding and the base image embedding.

The invention discloses an intelligent vehicle elastic planning and control method based on large language model guidance under network attack, and belongs to the field of vehicle information safety and control, and the method specifically comprises the steps: firstly, building an intelligent vehicle auxiliary decision making and control system, and installing the system on a to-be-detected vehicle; the automatic driving decision-making unit generates an expected driving intention of the current to-be-detected period; the path planning unit generates a corresponding reference trajectory sequence. A vehicle reachable set estimator calculates a maximum allowable motion reachable range. The scene text editor completes scene description of the driving environment in combination with the perception information and converts the scene description into a structured text; the large language model performs comprehensive judgment on an expected driving intention and a planned reference trajectory sequence based on a maximum allowable motion reachable range and structured text description, and gives a final auxiliary decision variable. And based on the reachable set estimation value, constructing a vehicle motion controller based on data driving, and obtaining a control instruction to complete execution. According to the invention, the adaptability and robustness of the real vehicle operation environment are improved.

The invention provides a rich text editor component, a structured exporting method and a content editing system, and relates to the technical field of computers. According to the method, a componentization packaging module is used for packaging a rich text editor core library into a single file component based on a front-end componentization framework and completing initialization and destruction of an editor instance in the life cycle of the single file component; the attribute parameter module is used for defining and receiving configuration parameters from the upper calling component, and the configuration parameters at least comprise an editor mode type, a content export format and a remote content address; the core logic module is used for realizing key operation logic of the editor; and the business editor module is used for calling the rich text editor component in a declarative mode in a business application page, so that rapid integration without compiling bottom layer codes is realized. According to the embodiment of the invention, the development efficiency and function flexibility of the rich text editor can be improved.

Systems, methods and non-transitory computer readable media for editing user interfaces from free text and / or sketches are provided. Digital data associated with a design of a user interface may be received. A presentation of the user interface based on the design may be caused. A selection of a portion of the user interface may be received. A textual input in a natural language and / or a sketch may be received. The textual input and / or the sketch may be analyzed to determine at least one change to a portion of the design of the user interface corresponding to the selected portion of the user interface. The determined at least one change may be implemented to generate a modified design of the user interface. A second presentation of the user interface based on the modified design may be caused.

The present disclosure describes a technical solution that enables a trained large language model (LLM) to generate a revised text in a manner that enables the LLM to preserve formatting that was present in the original text. When a text-editing instruction is received for a text passage having a formatting tag, the text passage is processed to identify the formatting tag in the text passage. The LLM is prompted to generate a revised text passage, using a prompt that includes the text-editing instruction and that also includes a formatting-specific instruction to format the revised text passage using the formatting tag in the revised text passage. The revised text passage is received and caused to be displayed based on the formatting tag, such that the formatting of the original text is maintained.

The invention discloses a model training method and device and an image processing method and device, and belongs to the technical field of image processing. The method comprises the following steps: acquiring a reference image data set; wherein the reference image data set is used for extracting a photography concept function, the photography concept function comprises an adjustment function and a weighting function, and the adjustment function is used for adjusting image colors and details; adjusting the initial diffusion model based on the photography concept function and a text editing instruction corresponding to the photography concept function to obtain an adjusted diffusion model; and training the adjustment diffusion model based on the training data set to obtain a target diffusion model.

The invention relates to the technical field of cross-modal large models, and discloses a multi-modal large model reasoning optimization method based on adaptive fact guidance, and the method comprises the steps: obtaining visual image data and problem text data, and constructing a query vector; generating a textual fact description according to the real label of the visual image, extracting trusted activation and untrusted activation by combining the visual image and the problem text, and generating a visual-text editing vector; and inputting the query vector into a visual language large model to extract a hidden state in a forward propagation process, and correcting the extracted hidden state by using the visual-text editing vector to generate an optimized answer text. On the premise of not sacrificing the reasoning efficiency, the method adaptively guides the biased activation state of the model to the fact semantic direction, thereby realizing efficient and accurate illusion relief.

The invention provides a Java editor plug-in implementation method and system based on an Eclipse platform, and the method comprises the steps: carrying out the initialization configuration and registration of a plug-in, constructing a text editor interface capable of embedding Eclipse, achieving a grammar highlighting function, achieving a code completion function, achieving a code formatting function, and carrying out the deployment and operation of the plug-in. According to the mode, a novel plug-in system independent of a native JDT editor is constructed, visual editing of the. Java file is achieved, core functions such as grammar highlighting, code complementing and code formatting are integrated, meanwhile, butt joint with a JDT language server is supported to improve semantic analysis capacity, and finally on the premise that lightweight deployment and high compatibility are guaranteed, the semantic analysis capability of the. Java file is improved. And the Java development efficiency and the user experience are improved. By means of the technical scheme, the technical problems that in the prior art, an Eclipse Java editor plug-in is low in function integration level, insufficient in semantic support and lack of key editing functions are solved.

A text editor or a plugin thereto automatically generates authorship tokens to identify content authored by a human author or an artificial author. The authorship tokens are applied to the work while the work is being produced. Thus, subsequent review of the work can identify regions produced by a human author and other regions produced by an artificial intelligence.

The invention provides a formula real-time editing and rendering method of a rich text editor, which specifically comprises the following steps of: acquiring an input formula code of a user, performing incremental rendering, identifying a formula structure through an incremental analysis algorithm based on an abstract syntax tree (AST), and generating intermediate representation data; integrating text paragraphs and formula nodes into a single data stream, wherein each formula node stores the input formula code, the AST, the intermediate representation data and a rendering vector graph; and according to the difference comparison result of the AST, a GPU acceleration interface is called to carry out local redrawing on the change part, and the rendering result is updated and inserted into the cursor position of the rich text editor, so that the real-time editing and rendering method is simple in process and good in editing and rendering effect. The invention further provides a formula real-time editing and rendering system of the multi-platform adaptive rich text editor, computer equipment and a readable storage medium.

An interactive coding environment is provided via an integrated mobile application. The interactive coding environment includes multiple user interface input elements including, but not limited to, a text editor, a virtual keyboard, a virtual autocomplete toolbar, a quick actions toolbar, and a virtual joystick. A user interacts with the coding environment via their user device, such as a mobile device. While coding within the text editor, the user is provided with auto-complete code suggestions and / or code snippets. Suggested inputs are obtained from a predictive model based on the user's input. A virtual joystick is provided to enable easy navigation within a text document shown within the text editor.

The invention discloses an online response system for online text editing, relates to the technical field of online response, and solves the technical problems of insufficient context understanding depth and subjective result integration decision. And establishing a scene-keyword mapping library and a three-dimensional sorting retrieval mechanism, optimizing a retrieval keyword by fusing context information in an associated scene so as to enable response to meet real-time requirements of a user, and avoiding a non-response condition through scene positioning and fuzzy association in a non-associated scene, so that the user experience is improved. A matching degree score, a knowledge base source authority degree, an interaction preference matching degree and a historical behavior tendency degree are incorporated into a scoring model, subjective rules are replaced by objective data, decision-making is dynamically performed based on score difference, decision-making deviation caused by a single index is avoided, the user recognition degree of a conflict processing result is improved, and the user experience is improved. And meanwhile, the credibility of the result is enhanced by processing the process traceability label.

Provided are improved machine learning-based text editing models. Specifically, example implementations include a flexible semi-auto-regressive text-editing approach for generation, designed to derive the maximum benefit from non-auto-regressive text-editing and autoregressive decoding. In contrast to conventional sequence-to-sequence (seq2seq) models, the proposed approach is fast at inference time, while being capable of modeling flexible input-output transformations.

1. The name of the design product: the main body of the dialogue graphical user interface of an electronic device. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the protected part of the graphical user interface in the electronic device. 4. The picture or photo that best shows the design points: change state figure 1. 5. The use of the graphical user interface: the graphical user interface is used for dialogue. The protected part of the graphical user interface is used for dialogue and text editing. The graphical user interface can be interacted with by the user clicking on it or by operating the mouse or tapping the keyboard. The main view shows the main body of the graphical user interface, which includes an editing area on the left and a dialogue area on the right; by selecting part of the text in the editing area and clicking the "AI adjustment" button in the floating toolbar, the graphical user interface changes from the main view to change state figure 1; by selecting an option in the drop-down menu of the "AI adjustment" button, such as "a little richer", the graphical user interface changes from change state figure 1 to change state figure 2, and the selected text in the editing area is replaced by the text modified by AI adjustment. 6. Other circumstances that need to be explained: the part of the graphical user interface shown by the dashed line in each view does not constitute the protected part of the design.

1. The name of the design product: the editing area of the content editing graphical user interface of an electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the claimed part of the graphical user interface in the electronic device. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the graphical user interface is used to edit content, and the claimed part of the graphical user interface is used to edit content. The design 1-design 2 front view shows an editing page for editing and previewing the question and answer content, and the user can switch the question and answer content to be edited by clicking the question on the left side of the design 1-design 2 front view; the design 3 front view shows an editing page for editing and previewing the question and answer content, in response to the user clicking the editing function button of the text editing area, the graphical user interface changes from the design 3 front view to the design 3 change state diagram 1 to show the selectable editing function, in response to the user clicking the content expansion button, the graphical user interface changes from the design 3 change state diagram 1 to the design 3 change state diagram 2 to show the prompt information of the content intelligent editing, in response to the intelligent generation failure, the graphical user interface changes from the design 3 change state diagram 2 to the design 3 change state diagram 3 to show the prompt information of the generation failure; the design 4 front view shows an editing page for editing and previewing the question and answer content, in response to the user clicking the editing function button of the text editing area, the graphical user interface changes from the design 4 front view to the design 4 change state diagram to show the prompt information of the content intelligent editing; the design 5 front view shows an editing page for editing and previewing the question and answer content, in response to the user selecting the text content in the text editing area, the graphical user interface changes from the design 5 front view to the design 5 change state diagram 1 to show the editing function button, in response to the user clicking the content expansion button, the graphical user interface changes from the design 5 change state diagram 1 to the design 5 change state diagram 2 to show the loading state of the intelligent expansion, in response to the completion of the content expansion, the graphical user interface changes from the design 5 change state diagram 2 to the design 5 change state diagram 3 to show the expanded content; the design 6 front view shows an editing page for editing and previewing the question and answer content, in response to the user selecting the text content in the text editing area, the graphical user interface changes from the design 6 front view to the design 6 change state diagram 1 to show the editing function button, in response to the user clicking the content expansion button, the graphical user interface changes from the design 6 change state diagram 1 to the design 6 change state diagram 2 to show the expanded content; the design 7 front view shows an editing page for editing and previewing the question and answer content, in response to the user selecting the text content in the text editing area, the graphical user interface changes from the design 7 front view to the design 7 change state diagram 1 to show the editing function button, in response to the user clicking the content expansion button, the graphical user interface changes from the design 7 change state diagram 1 to the design 7 change state diagram 2 to show the prompt information of the expansion failure. 7. Other situations needing to be explained Other notes: The dashed line in each view of design 1 to design 7 shows part of the graphical user interface, which does not constitute part of the appearance design claimed.

A computer-implemented method for generating a control program for an automation system includes receiving input data for a control program of an automation system by a development environment, generating the graphical diagram of the graphical programming language based on the input data with the aid of a graphical editor unit, displaying the graphical diagram in the graphical editor unit, translating the graphical diagram into a textual intermediate representation of the graphical diagram by a translation module, displaying the textual intermediate representation of the graphical diagram in a textual editor unit, and generating the control program based on the textual intermediate representation of the graphical diagram, and / or based on the graphical diagram.

The invention discloses a legal text auditing method and device and a medium. The method comprises the steps of obtaining a to-be-audited legal text; extracting risk terms in the legal text based on a semantic analysis model; the risk terms are input into a legal knowledge graph for retrieval to obtain a first retrieval result, the risk terms are input into a vectorization case semantic library for retrieval to obtain a second retrieval result, and the legal knowledge graph comprises structural data of a plurality of legal provisions and relationships among the legal provisions; the vectorized case semantic library comprises vector data of a plurality of unstructured legal cases; and inputting the risk terms, the first retrieval result and the second retrieval result into a large legal text auditing model, so that the large legal text auditing model outputs an auditing result of the legal text. The method can dynamically adapt to the legal text, and can improve the accuracy of legal text risk identification and the text editing efficiency.

The application provides an editable presentation document automatic generation method, system and device, and the method introduces SVG as an intermediate description language to solve the problem that the output result of the prior art is a non-editable picture. By converting a PPT template into SVG code and combining a prompt word template, the SVG content generated by a large model contains semantic information and conforms to a preset visual style. A conversion mechanism is used to parse and convert the SVG code into editable objects in a standard PPTX file, so that the generated PPT document can maintain the visual effect while supporting text editing and graphic adjustment in mainstream office software. Compared with the prior art, the application can improve the efficiency of making a presentation, enhance the editability of the output file, and meet the personalized customization requirements.

The invention provides a document processing method and device, electronic equipment and a storage medium. The method includes; performing analysis processing on the unstructured document so as to obtain html (Hypertext Markup Language) data and css (Data Service) data of the unstructured document; performing feature extraction processing on the html data and the css data to obtain visual features, semantic features and structural features; and generating a constraint rule of the static reservation area, a constraint rule of the text editing area, a constraint rule of the media replacement area and a constraint rule of the data binding area based on the static reservation area, the text editing area, the media replacement area and the data binding area. According to the document processing method, the conversion effect from the unstructured document to the component can be improved, and the flexibility of component generation is improved, so that various requirements of a front-end framework are met.

An example method includes outputting a graphical user interface including: a graphical keyboard comprising a plurality of character keys, the plurality of character keys including two to eight character keys; a text-editing region; and a word-suggestion region. The method also includes detecting a first user input at a location of the presence-sensitive display associated with a particular character key from the plurality of character keys. The method further includes, responsive to detecting the first user input, determining a first character associated with the particular character key. The method additionally includes outputting the first character for display within the text-editing region and a set of suggested words for display within the word-suggestion region. The method also includes, responsive to receiving a transition input via an input device of the computing device, transitioning a focus region from a location of the text-editing region to a location of the word-suggestion region.

The embodiment of the invention provides a media content generation method and device, equipment, a readable storage medium and a product. The method comprises the steps that interaction content associated with first media content and a release control associated with the interaction content are displayed in a content display interface; in response to a trigger operation of the first user on the release control, displaying a content editing interface; on the basis of editing operation triggered by a first user in the content editing interface, first associated content related to the interactive content is generated, and the first associated content is obtained on the basis of text editing carried out on the interactive text and image editing carried out on the basis of the interactive content; and generating second media content, wherein the second media content comprises the first associated content and second associated content related to the first media content. Therefore, the user does not need to manually acquire the image and edit the text to generate the second media content, the generation efficiency of the second media content is improved, and the second media content fitting the first media content and the interactive text historically published by the user can be generated.

Systems and methods are directed to redacting and reinstating personal identifying information (PII) from text data. A PII management system accesses an input text and identifies, using one or more redaction components, PII mentions in the input text to be redacted. A placeholder manager of the PII management system replaces each unique PII string of a final set of PII mentions with a non-PII string to generate redacted text, whereby the non-PII string is generated by the placeholder manager. The placeholder manager also generates a mapping dictionary that maps each unique PII string to the non-PII string that replaces it. The mapping dictionary is used to reinsert one or more unique PII strings after processing of the redacted text. The redacted text is then transmitted to a downstream component for the processing.

The application relates to an RPA process design system based on a VS Code plug-in and belongs to the technical field of process automation. The system comprises a text editing module, a graphical parameter configuration module, an engineering management module and an execution adaptation module. The text editing module loads preset instruction libraries and method signature libraries, receives structured instructions, performs format checking and parameter completion, analyzes and generates a memory instruction sequence list; the graphical parameter configuration module listens to the instruction selection state, generates a parameter form, verifies the validity of input parameters, generates instruction-parameter data and stores the data into a to-be-processed data pool; the engineering management module generates a standard directory structure, performs version control and conflict detection; and the execution adaptation module extracts data and converts the data into an executable script and performs verification. The system can efficiently realize the design, management and execution of an RPA process, and improves the convenience and accuracy of robot process automation design.

1. The name of the design product: the main body of the dialogue graphical user interface of an electronic device. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the protected part of the graphical user interface in the electronic device. 4. The picture or photo that best indicates the design points: change state figure 1. 5. The use of the graphical user interface: the graphical user interface is used for dialogue. The protected part of the graphical user interface is used for dialogue and text editing. The graphical user interface can be interacted by the user's click on the graphical user interface or by operating the mouse or tapping the keyboard. The main body of the graphical user interface shown in the front view includes an editing area on the left and a dialogue area on the right; by inputting a modification instruction in the input bar of the dialogue area, such as "the last paragraph is a bit flat, please increase vivid description, strengthen emotional expression, and appropriately describe some scenes", the graphical user interface changes from the main view to change state figure 1; by clicking the send button of the input bar in change state figure 1, the graphical user interface changes from change state figure 1 to change state figure 2, and the text paragraph corresponding to the modification instruction in the editing area is replaced by the text paragraph modified according to the modification instruction. 6. Other circumstances that need to be explained: the part of the graphical user interface shown by the dashed line in each view does not constitute the part claimed by the design.

The invention discloses a compact family structure text description grammar with high reduction degree. The compact family structure text description grammar comprises a family expression rule and an individual information expression rule. In the family expression rule, parents and children are defined as a group of family members, the parents, the parents and the children and the children are separated by different symbols, and after a group of family data is ended, different symbols are used for expressing ending description. The individual information and the information identifier in the individual information expression rule are respectively expressed by specific characters. The invention defines a structured plain text format for recording family pedigree. The core of the method is to imitate the layout of family trees: intergenerations are vertically distributed, and individuals of the same generation are horizontally aligned. The design has both human readability and machine processability, on one hand, data presentation is clear and visual, and lossless editing by using a text editor is supported; and on the other hand, compared with a traditional format, the data volume of the file is remarkably reduced, and the comfort level of user experience is improved.

The application designs a sensitive data prediction method based on user editing track in a collaborative editing scene, relates to the field of data security, and comprises the following steps: obtaining user historical text data, screening target text containing sensitive data, performing theme division, word segmentation, extracting keywords and position information to establish a text editing track; for each keyword of the text keyword set, a context window mechanism is adopted to select a sensitive word set and divide the sensitive word security level; according to the keyword editing clue, the theme label and the sensitive word set with the level division, a graph attention network is used to construct a user track model based on keywords; inputting the editing process text, identifying the keywords and labels, combining the received person role identity level, and inputting the track graph model to obtain a predicted sensitive word set. The application creates a model based on the user editing track, can accelerate the identification efficiency of sensitive data, reduce the risk of leakage, and improve the sensitive word identification accuracy under different text themes.