22 results about "Word selection" patented technology

This invention discloses a spoken language understanding method based on multi-view expert fusion and interest lexical selection, belonging to the field of natural language understanding and semantic parsing technology. The method includes: extracting hidden state sequences from the input utterance using a shared encoder; constructing a multi-view expert fusion module containing utterance view experts, block view experts, and lexical view experts to generate multi-granularity expert features; generating intent aggregation features and slot aggregation features through a task decoupling gating mechanism; performing interest lexical selection on the intent aggregation features, calculating lexical importance scores, generating weighted intent representations, and predicting multi-intent labels; and inputting the slot aggregation features into a decoder with diagonal mask constraints to generate a position-aligned slot label sequence. This invention enhances the model's dynamic focusing ability on key intent signals and can be applied to intelligent dialogue systems, virtual assistants, and vertical domain semantic parsing scenarios.

This application relates to a method, apparatus, device, and medium for generating advertising text in the field of computer technology. The method includes: acquiring the title of an advertised product and its reference advertising text; using a text generation model's encoder-decoder network to decode the title time-step by time to obtain decoded feature information, and determining its generation probability distribution mapped to a first reference vocabulary referenced by the encoder-decoder network; using a text generation model's encoder to obtain encoded feature information of the comprehensive text composed of the product title and its reference advertising text, and determining its key feature information relative to the decoded feature information as a pointer probability distribution; calculating and determining a matching weight based on the encoded feature information and the decoded feature information, and smoothly weighting the generation probability distribution and the pointer probability distribution with the matching weight to obtain an optimized probability distribution; and determining the lexical units of the target advertising text based on their word selection in the first reference vocabulary or the comprehensive text. This application can generate high-quality advertising text.

The present specification provides a text word selection method and device, wherein the text word selection method comprises determining initial text containing a to-be-selected word region and a candidate word set corresponding to the to-be-selected word region; performing text processing on the initial text based on the to-be-selected word region and the candidate word set to obtain target text; and performing word segmentation on the target text and inputting the segmented target text into a mask language model to obtain a target vector of a target segmented word in the segmented target text, wherein the mask language model adopts a sparse attention mechanism; determining a target probability value of each candidate word in the candidate word set relative to the target vector based on a word table, and determining a target candidate word based on the target probability value. The text word selection method accurately predicts the answer to the candidate word fill-in by using the mask language model with the sparse attention mechanism and combining the word table.

The invention discloses a large language model fingerprint construction method and system based on maximum activation component coverage, and belongs to the field of artificial intelligence model verification. The invention aims to solve the problems of blind cue word selection and low model component coverage efficiency in existing fingerprint construction. The method comprises the following steps: acquiring a candidate sensitive prompt word set; for each cue word in the set, determining a key component set which is activated by the cue word in the original model and is composed of an attention head, a feedforward network and the like; selecting a target cue word set by adopting a maximum coverage selection strategy (such as a greedy algorithm), and maximizing the weighted coverage rate of key components commonly activated by the set; and finally, forming a model fingerprint by the target cue word set and the expected output thereof. According to the method, the widest coverage is realized by using the least cue words, the discrimination ability, verification efficiency and reliability of fingerprints are remarkably improved, and the verification cost is reduced.

Disclosed in the embodiments of the present disclosure are a method for keyboard input in a three-dimensional (3D) space, and a head-mounted display device, a medium and a product. A specific embodiment of the method comprises: in response to a typing operation performed on an associated physical keyboard being detected, determining a candidate word list on the basis of at least one key position corresponding to the typing operation, wherein an input cursor is displayed in a window corresponding to the typing operation, and the window is displayed in a 3D space of a head-mounted display device; determining a spatial dimension of the window corresponding to the typing operation; in response to it being determined that the spatial dimension represents a two-dimensional window, generating candidate word bar position information on the basis of two-dimensional position information of the input cursor in the window; and on the basis of the candidate word bar position information, displaying a candidate word bar in the window, wherein at least one candidate word in the candidate word list is displayed in the candidate word bar. The embodiment can support input in a 3D space, and can enable a word selection box to dynamically focus near an input box.

The invention discloses a letter fly input system, and relates to the technical field of computer input. The system inherits the advantages of an existing mainstream input method, a 36-key Dvorak real keyboard serves as a hardware basis, and slender rectangular touch screens are additionally arranged on the left side and the right side to replace traditional control keys and mouse functions; a three-in-one framework of'hardware reconstruction + semantic innovation + modal collaboration 'is constructed on the software level, an existing mainstream input method lexicon and a coding engine are reused, candidate words of multiple input methods are displayed in a partition mode through a 9 * 9 large-capacity word window, and cross-scheme word selection can be achieved without switching modes; a'specific word-cue word-choice box 'linkage mechanism is innovated, a functional module is triggered by a specific word easy to remember an initial, and operations such as application control and website access are realized in cooperation with cue word numbers; and cross-device adaptation of the PC and the mobile phone end and sharing of configuration and lexicon data are supported. According to the system, the problems that a traditional keyboard is poor in portability, switching of multiple input methods is tedious, and the function and portability are contradictory are solved, integration of character input and application control is achieved, the operation efficiency and cross-device experience are improved, and the system is a significant upgrade of an existing input method.

The invention discloses an input method, a related device, electronic equipment and a storage medium, and the input method comprises the steps: obtaining a plurality of mapping rules in response to a first character sequence of a selected word on a screen in an input process; wherein the mapping rule comprises a second character sequence and a visual pattern associated with the second character sequence; selecting a target rule from the plurality of mapping rules based on a matching result between the first character sequence and the second character sequence in each mapping rule; and carrying out replacement display on the current cursor based on the visual pattern in the target rule. According to the scheme, the feedback and individuation requirements in the input process can be met at the same time.

A method receives audio data from a call. Services are performed to process the audio data to automatically generate a response, wherein the services include converting the audio data to input text, inputting the input text into a model to automatically generate a text response, and converting the text response to an audio response. Supplemental words are selected based on the input text. The method determines a type of service based on services performed to generate the audio response and determines a position in the response to insert the supplemental words based on the type of service. The supplemental words are provided for insertion in the call at the position to supplement the audio response.

The invention discloses a mobile robot vision book checking method and system, and the method comprises the steps: obtaining a spine image, recognizing a book name text in the spine image, and obtaining a book name recognition result; determining at least one word to be corrected based on the book name recognition result and a pre-constructed candidate word bank; performing recall operation on the word to be corrected to obtain a candidate set; calculating the comprehensive score of each candidate word in the candidate set; and based on the comprehensive score, selecting the candidate word with the highest comprehensive score to replace the word to be corrected so as to output a corrected book name. After the spine image is obtained and the book name text is recognized, the word to be corrected is determined based on the pre-constructed candidate word bank, and then intelligent correction of the book name recognition result is realized through the processes of candidate word recall, comprehensive score calculation and optimal candidate word selection. Text recognition errors caused by factors such as spine deformation, non-standard fonts and partial shielding in the visual recognition process are effectively overcome, and the accuracy and robustness of book name recognition are remarkably improved.

The application discloses a text processing method, comprising: collecting original text, and performing data preprocessing on the original text to obtain a list of candidate words; obtaining an anchor word in response to a selection input of a user according to the list of candidate words; processing a preset initial model according to the anchor word to obtain a theme word extraction model corresponding to the original text; and extracting theme words from the original text according to the theme word extraction model to obtain the theme words. The text processing method can preprocess the original text to obtain the list of candidate words, further generate the anchor word according to the selection of the user in the list of candidate words, and then extract the theme words from the original text according to the theme word extraction model, so that the text information is effectively screened with a purpose by referring to the anchor word given by the user.

The embodiment of the invention provides a webpage word cutting function implementation method and device, equipment and a storage medium. The webpage word cutting function implementation method comprises the steps that in response to word selection operation on a pdf page, a corresponding word selection event object is captured, event information is packaged in the word selection event object, and the event information comprises target text content; analyzing event information in the word selection event object to obtain event parameters; and calling a target word cutting function interface, and realizing a target word cutting function according to the event parameters. According to the technical scheme provided by the embodiment of the invention, the text content selected in the pdf page is packaged into the event object with the readable attribute. According to the method, the event object is analyzed to obtain corresponding event parameters such as text content, and finally the event parameters are input into the word cutting function interface, so that the corresponding word cutting function is realized, and the problem of capability failure or degradation of the word cutting function when facing a pdf page is solved.

This relates to an information processing system capable of generating images that visualize the impression of items, services, etc., that are associated with scent. [Solution] The information processing system comprises an acquisition unit, a display word selection unit, a color determination unit, and a display word placement unit. The acquisition unit acquires text data relating to the impression of the subject, information on the type of scent of the subject, and information on the display type of the communication image. The display word selection unit uses an empathy word library containing multiple empathy words to select a display word from among multiple words included in the text data that is the same as an empathy word included in the empathy word library and will be placed in the communication image. The color determination unit uses relationship information between the type of scent and the color imagined from that scent to determine an image color to color the display word from the information on the type of scent of the subject acquired by the acquisition unit. The display word placement unit places the display word colored with the image color within the display type.

AI-driven definition generation system and method disclosed herein guides an artificial intelligence (AI) engine to provide contextually relevant definitions of words given in a passage. The AI-driven definition generation system includes an online learning platform such that a user can select any word given in a passage on the online learning platform to instantly receive a contextually relevant definition of the selected word. The definition is generated as per the reading level of the user and the context of the surrounding passage. The AI-driven definition generation system achieves this by integrating user profile information, analyzing the surrounding text of selected words, and using an AI engine guided by a content generation system.

1. The name of the design product: large model assisted reading graphical user interface of electronic equipment. 2. The use of the design product: vivo blue heart large model capacity combined with knowledge base to assist users in reading electronic books. Users can interact with the large model in real time. 3. The design points of the design product: in the change state diagram 3. 4. The picture or photo that best indicates the design points: change state diagram 3. 5. The use of the graphical user interface: text area sliding word selection in the main view, click "AI reading companion" function to call out the change state diagram, the selected word in the main view will be input as a prompt word into the large model dialog box, and then the user can dialogue with the large model about the context content of the book. Books can be selected as a unified pre-knowledge base for reading and answering questions. 6. The human-computer interaction mode of the graphical user interface: long press and click AI reading companion in the main view to open change state diagram 1; click the input text below change state diagram 1 to call out change state diagram 2; click the back key in change state diagram 2 to open change state diagram 3; click the back key in change state diagram 3 to open change state diagram 4.

A word evaluation value acquisition method, including a document display step in which a display unit 300 displays a document composed of a plurality of sentences, a word selection reception step in which an input unit 200 receives selection of a word included in the document, a word evaluation reception step in which the input unit 200 receives an evaluation result indicating any of the plurality of index values with respect to a selected word that is the word whose selection has been received in the word selection reception step, and a decoration step in which the display unit 300 applies a decoration allocated to an index value corresponding to the evaluation result received in the word evaluation reception step to the selected word and a word having the same spelling as the selected word included in the document.

The invention discloses a character input method system, relates to the technical field of character input including Chinese and foreign languages, and aims to solve the problems of frequent page turning, cumbersome switching and low word selection efficiency of an existing input method. According to the core scheme, the system comprises a word library module which has a mixed sorting and word self-creation function; the 9 * 9 word window module is used for numbering 81 word grids, positioning colored tapes, omitting display of long words and supporting zooming and displaying and hiding; the multi-meaning code key module is used for automatically switching functions along with an input stage of ambiguous word list letters / numbers and trimeaning word auxiliary strokes; the page turning and screen loading module is used for FH page turning, ambiguity key serial number screen loading and four-code unique automatic screen loading; the binary syllabification, the wubi and the like are displayed in the word window in a partition mode and do not interfere with one another, and the input method is not switched any more. The input method system serves as a special input method system, provides a tool for character moving like flying for a user through 81-word page turning reduction, near-key word selection efficiency, multi-mode adaptation (Pinyin, Wubi, strokes and the like) and multi-device adaptation (PC / tablet / double-screen mobile phone and the like), has the advantages of being multiple in mode, few in page turning and high in screen loading speed, is suitable for various electronic devices with universal keyboards, and has wide application prospects. And other input methods can be integrated in the future.

A text entry apparatus, storage medium and method where users type by tapping their fingers in place, called TapGazer, is presented. Users can tap anywhere as long as the identity of each tapping finger can be detected with sensors. The ambiguity between different possible input words is resolved by selecting target words with gaze. If gaze tracking is unavailable, ambiguity is resolved by selecting target words with additional taps.

A computer-implemented system for multiplayer word guessing gameplay includes a room management module configured to generate room identifiers and control session access. A word selection module enables host users to select target words and retrieves associated information from dictionary databases. A hint generation module provides hints based on selected difficulty levels, wherein beginner level provides three hints, novice level provides two hints, and expert level provides no hints. A scoring module calculates scores based on word characteristics, hint usage, and guess accuracy. A performance tracking module maintains records across game sessions and accumulates points over time. The system coordinates multiplayer sessions through room-based architecture, provides structured difficulty progression through integrated hint availability variation, and implements comprehensive scoring mechanisms that account for multiple gameplay factors while maintaining persistent performance records.

Techniques for augmenting automated speech recognition neural networks with scalable vocabularies are described. A cluster is selected from a plurality of clusters of similar sounding words based on a score, the score representing a similarity between an embedding of the cluster and an audio embedding of an utterance generated with an automated speech recognition encoder neural network. A bias factor is calculated based on a similarity between an embedding of a word in the selected cluster and the audio embedding. The audio embedding of the utterance is biased by the bias factor.

The invention relates to the technical field of artificial intelligence, and discloses a text input recommendation method and device, computer equipment and a storage medium in the fields of financial science and technology and medical health. According to the method, when a newly added input word is detected, context information corresponding to the newly added input word is obtained, and a target intention label is determined according to the context information; performing predictive analysis on the newly added input word, the context information and the target intention tag through a preset input recommendation model to obtain at least one initial recommendation word; filtering and sorting all the initial recommendation words to obtain a recommendation word sequence, and sending the recommendation word sequence to a client; and when a recommended word selection instruction corresponding to the recommended word sequence sent by the client is received, determining a target input word from the recommended word sequence according to the recommended word selection instruction. According to the method, the availability and accuracy of text input recommendation words are ensured, and the text input efficiency is improved.

The application provides a professional vocabulary construction method and device, medium and program product. Professional corpus and general corpus are obtained, and word extraction processing is performed on the professional corpus and general corpus to obtain an initial vocabulary and a general vocabulary. The professional part-of-speech association degree of each candidate word in the initial vocabulary is determined according to the general vocabulary, and a seed word set is extracted from the initial vocabulary according to the professional part-of-speech association degree. In the initial vocabulary, each seed word in the seed word set is taken as a seed point, and the initial vocabulary is clustered based on the seed point corresponding to each seed word and a preset clustering algorithm to obtain a candidate word set. The professional vocabulary is determined according to a preset word selection condition and the candidate word set. The technical problem of how to quickly construct a professional vocabulary without data accumulation or artificial annotation is solved. The technical effect of not needing artificial annotation, improving the construction efficiency and word selection accuracy, and reducing the construction cost is achieved.

The invention discloses a data processing method and device, equipment and a storage medium, and is applied to the field of artificial intelligence. According to the scheme, after the target word is collected, the first statement, the second statement and the third statement containing the target word are generated according to the target word, then the at least three reference words are generated, the first statement, the at least three reference words and the target word are processed, and the first question, the second question and the third question are obtained. The first problem is a problem selected according to the understanding of the statement after the statement is analyzed, the second problem is a problem of word selection and blank filling, and the third problem is a problem of semantic judgment. In the data processing method, after the target word is determined, a series of problems can be automatically generated according to the target word, human participation is not needed, and the construction efficiency of the test benchmark is greatly improved.