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91 results about "Character (computing)" patented technology
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In computer and machine-based telecommunications terminology, a character is a unit of information that roughly corresponds to a grapheme, grapheme-like unit, or symbol, such as in an alphabet or syllabary in the written form of a natural language.
Data entry for personal computing devices
InactiveUS20050223308A1Quickly and easily replaceAdd partsSpecial data processing applicationsInput/output processes for data processingGraphical user interfaceText entry
In one aspect of the present invention the user can rapidly enter and search for text using a data entry system through a combination of entering one or more characters on a digitally displayed keyboard with a pointing device and using a search list to obtain a list of completion candidates. The user can activate the search list to obtain a list of completion candidates at any time while entering a partial text entry with the data entry system. When the search list is active, a list of completion candidates is displayed on a graphical user interface for the user to select from and the user can perform one of several actions. The user can deactivate the search list and return to modifying the current partial text entry and other text. The user can select one of the completion candidates in the search list and use the selected completion candidate to replace the partial text entry which the user is currently entering. When the user deactivates the interactive search list, the user can immediately continue adding to or modifying the current partial text entry being entered, and may re-invoke the search list to further search for completion candidates based on the modified partial text entry. In the second case, the selected completion candidate is used to replace the partial text entry that the user is currently entering, and the data entry system begins monitoring for a new partial text entry from the user.
Owner:602531 BRITISH COLUMBIA
Prosodic hierarchy model training method, text-to-speech method and text-to-speech device
ActiveCN105244020AImprove performanceFew influencing factorsSpeech synthesisNatural language processingGranularity
The invention discloses a prosodic hierarchy model training method for text-to-speech and a text-to-speech method and a text-to-speech device by a prosodic hierarchy model. The training method includes: training massive non-tagged corpus data to obtain character vectors of individual characters; obtaining textual features and tagging corresponding to the trained data according to the character vectors and prosodic tagging data; based on a deep neural network and a bidirectional LSTM (long-short term memory) neural network, training the prosodic hierarchy model according to the textual features and tagging of the trained data. The training method has the advantages that when a character granularity based dictionary in the training method is compared with a traditional word granularity based dictionary, entry scale is decreased effectively, requirements of the model and resource files on computing resources and memory spaces are lowered, and usability of a prosodic prediction model in embedded intelligent devices is guaranteed while performance of the prosodic prediction model is improved.
Owner:BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
System and method for OCR output verification
A system and method for computing confidence in an output of a text recognition system includes performing character recognition on an input text image with a text recognition system to generate a candidate string of characters. A first representation is generated, based on the candidate string of characters, and a second representation is generated based on the input text image. A confidence in the candidate string of characters is computed based on a computed similarity between the first and second representations in a common embedding space.
Owner:XEROX CORP
Method of data entry
InactiveUS20020145592A1Learn to useAccurate and fast and easy to implementCathode-ray tube indicatorsInput/output processes for data processingData entryInput device
A method for transforming ordered sequences of keystrokes entered on a keypad with nine or more keys into a full complement of alphanumeric characters, such as might be entered from a computer keyboard. The method can be utilized using any device that permits an operator to select one of nine or more positions in a particular sequence. The positions are arranged in a three by three or larger rectangular matrix. Example input devices include a computer keyboard, numeric keypad, a touch pad, and a digitizing pad The sequence and order of positions selected is suggested by the shape of the character as normally drawn by hand Using shapes already known to users makes the method easy to learn Using exact key sequences makes the process fast, accurate and easy to implement on a computing device by using a simple lookup table method
Owner:SCHAUER LYNN A
Text information processing method and device
ActiveCN110765996AImprove accuracyCharacter and pattern recognitionNatural language data processingPattern recognitionInformation processing
The embodiment of the invention discloses a text information processing method and device, and relates to the field of cloud computing. A specific embodiment of the method comprises the steps of identifying a to-be-processed text from an image comprising the to-be-processed text; inputting the to-be-processed text into a pre-trained recurrent neural network language model, and identifying wronglywritten characters in the to-be-processed text; inputting the wrongly written characters in the to-be-processed text into a pre-trained text error correction model to obtain similar characters corresponding to the wrongly written characters; and determining correct characters corresponding to the wrongly written characters in the similar characters by utilizing the text error correction model based on the coherence of the to-be-processed text, and replacing the wrongly written characters with the correct characters to obtain an error correction text of the to-be-processed text. The wrongly written characters are recognized through the pre-trained recurrent neural network language model, and the correct characters of the wrongly written characters are obtained through the pre-trained text error correction model, so that the error correction text is obtained, and the accuracy of a recognition result is improved.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD
Method for displaying long texts
ActiveCN104731445AImprove visual effectsGuaranteed full displayInput/output processes for data processingData feedCharacter (computing)
Owner:HUIZHOU DESAY SV AUTOMOTIVE
Encryption method and device for font library
ActiveCN101887713AImprove confidentialityTo achieve the purpose of anti-tamperingDigital data protectionCathode-ray tube indicatorsInformation processingDot matrix
The invention relates to an encryption method and an encryption device for a font library in the field of character information processing. The font library comprises internal code information and dot matrix information. The encryption method comprises the following steps of: performing distributed computing on the internal code information with a first key to generate a secondary key; encrypting the dot matrix information with the secondary key to generate dot matrix data cipher text information; and encrypting the dot matrix data cipher text information or the combination of the internal code information and the dot matrix data cipher text information with the secondary key to generate a verification code. The encryption method and the encryption device for the font library provided by the embodiment of the invention have the advantages of preventing illegal users from replacing the font library and thus effectively improving the confidentiality of the font library.
Owner:SHENZHEN EXCELSECU DATA TECH
Ink correction pad
ActiveUS7701449B2Character and pattern recognitionCathode-ray tube indicatorsComputer graphics (images)Character (computing)
User interfaces for editing text in pen-based computing systems include: (a) a display portion that displays text; and (b) a correction interface that displays an editable text portion corresponding to at least a portion of the text. The correction interface accepts input via a stylus to enable changes to the editable text portion on a character-by-character basis (e.g., to add, delete, or change individual characters). The correction interface further may include or associate with a “suggestion list” portion that includes alternative(s) to substitute into the editable text portion and / or a “task list” portion that displays potential actions available through the interface. The invention also relates to systems, methods, and computer-readable media to activate, provide, and operate such interfaces.
Owner:MICROSOFT TECH LICENSING LLC
Character recognition method, device and equipment and readable storage medium
ActiveCN111126410AFew parametersReduce computational complexityNeural architecturesNeural learning methodsMorphingComputation complexity
The embodiment of the invention discloses a character recognition method, device and equipment and a readable storage medium. The method comprises the steps of cutting an image with characters to be recognized into a plurality of character strips according to the arrangement direction of the characters, obtaining feature maps of the character strips by utilizing a full convolutional network recognition model, performing deformation processing on the feature maps of the character strips to obtain a feature sequence, carrying context information, of the character strips, and predicting the characters in the character strips based on the feature sequence. The convolution operation does not depend on the state of the previous step and is irrelevant to the length of the input sequence, so thatparallel computing can be performed, the modeling process of the feature sequence is greatly accelerated, and compared with a recurrent neural network, the convolution network has the advantages of fewer parameters, lower computing complexity, less occupied memory space and running time and easiness in deployment.
Owner:ANHUI IFLYTEK INTELLIGENT SYST
Real-time multi-modal language analysis system and method based on mobile edge intelligence
InactiveCN110958625AMeet various needs of analysisSave computing resourcesResource allocationCharacter and pattern recognitionInterference (communication)Algorithm
The invention discloses a real-time multi-modal language analysis system and method based on mobile edge intelligence, and the system comprises three types of mobile edge intelligent servers: a mobilebase station (MGS), an unmanned vehicle (UGV) and an unmanned aerial vehicle (UAV), and the computing resources of the three types of mobile edge intelligent servers are sequentially reduced, and themoving flexibility is sequentially improved. According to the real-time multi-modal language analysis system, language data of a user is divided into three modalities, namely characters, voice and images, and a calculation task is allocated to a proper MEI server to be executed according to the calculation and analysis difficulty and the size of required calculation resources. According to the method, a real-time multi-modal language analysis and calculation problem in a dynamic environment is constructed, then a task unloading matrix and a resource allocation matrix are generated through a deep learning online optimization method, and meanwhile, movement path planning of an MEI server is automatically implemented according to channel conditions and interference during communication. Thetrained DNN can be suitable for a dynamic scene in which the number of multi-modal computing tasks changes, and has very high practicability.
Owner:HUNAN NORMAL UNIVERSITY
Error correction method and device, and computing equipment
PendingCN112784582AImprove error correction performanceNatural language data processingNeural architecturesAlgorithmCharacter (computing)
The embodiment of the invention discloses an error correction method and device and computing equipment. The method comprises the steps: according to pinyin features of characters in a to-be-corrected statement, detecting the first probability of each character in the to-be-corrected statement, the first probability being used for representing the possibility that the character is an error character; determining a first feature of each character in the statement to be corrected according to the first probability; according to the font characteristics of the characters in the to-be-corrected statement, detecting a second probability of each character in the to-be-corrected statement, the second probability being used for representing the possibility that the character is an error character; determining a second feature of each character in the statement to be corrected according to the second probability; fusing the first feature and the second feature to obtain a fused feature of each character in the statement to be corrected; and determining an error correction result of the to-be-corrected statement according to the fusion feature. According to the embodiment of the invention, the error correction effect can be improved.
Owner:INDUSTRIAL AND COMMERCIAL BANK OF CHINA
Certificate identification method and device, computing device and storage medium
PendingCN111639648AGuaranteed accuracyAvoid errorsCharacter recognitionAlgorithmCharacter (computing)
The invention discloses a certificate identification method and device, a computing device and a storage medium. The method comprises the steps of detecting at least one character block in a to-be-identified certificate image; identifying each character of the at least one character block to obtain a character identification result of each character block; matching the at least one character blockand the character identification result of each character block with layout structure information corresponding to the certificate image; and based on a matching result, determining element content corresponding to each certificate element of the certificate image. Therefore, adverse effects of light rays, backgrounds, segmentation errors and the like can be avoided, and support is provided for guaranteeing certificate identification accuracy.
Owner:ZHEJIANG DAHUA TECH CO LTD
Error correction method and device for Chinese text in power field, storage medium and computing equipment
PendingCN114118065AImprove error correction performanceData processing applicationsSemantic analysisLinguistic modelCharacter (computing)
The invention discloses an electric power field Chinese text error correction method and device, a storage medium and computing equipment, and the method comprises the steps: inputting a sentence in an electric power field Chinese text needing error correction into a trained electric power field pre-training language model, and obtaining a prediction character sequence of each word in the sentence; screening the predicted character sequence of each character to obtain a semantic candidate set of each character in the sentence; respectively inputting the same sentence into a pinyin confusion dictionary, a font confusion dictionary and a power field user-defined confusion dictionary to obtain a pinyin confusion set, a font confusion set and a user-defined confusion set of each character in the sentence; and performing error correction on characters in the sentence based on the semantic candidate set, the pinyin confusion set, the font confusion set and the user-defined confusion set. According to the method, the pre-training language model is adopted to replace a statistical language model, the text error correction scheme for the power industry is constructed, and the text error correction effect can be effectively improved.
Owner:STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +3
Supporting platform-independent typesetting for documents
InactiveCN102612690ANatural language data processingSpecial data processing applicationsComputer graphics (images)Character (computing)
The present invention relates to a supporting platform-independent typesetting for documents. Some embodiments of the present invention provide a system that typesets and renders a document in a platform-independent manner. During operation, the system first obtains the document, wherein the document includes text content and associated style information including one or more fonts. The system also obtains platform-independent font metrics for the one or more fonts, wherein the platform-independent font metrics include information that can be used to determine the positions of individual characters in a rendering of the document. Next, the system uses the platform-independent font metrics to determine how the document is divided into line fragments and pages. Finally, the system uses the determined division while rendering the document, so that the division of the document into line fragments and pages is the same across different computing platforms.
Owner:APPLE INC
Language sequence labeling method and apparatus, storage medium, and computing device
ActiveUS20210319181A1Simple structureImproved through linear transformationNatural language translationSemantic analysisHidden layerAlgorithm
A language sequence labeling method and includes: reading a first embedding representation of a language sequence, the first embedding representation including a character-level word embedding representation, a pre-trained word embedding representation, and a global word embedding representation of the language sequence, the global word embedding representation referring to a global context representation of the language sequence; performing first depth transformation (DT) encoding on the first embedding representation based on a first DT recurrent neural network (RNN), to output a first hidden-layer state representation corresponding to each word in the language sequence; and decoding the first hidden-layer state representations of the language sequence, to obtain a labeling result of one or more elements in the language sequence.
Owner:TENCENT TECH (SHENZHEN) CO LTD
Text detection method, computing device and readable storage medium
ActiveCN111582267ASave detection and identification processReduce time complexityCharacter and pattern recognitionNeural architecturesText detectionAlgorithm
The invention discloses a text detection method which is suitable for being executed in computing equipment, and the method comprises the steps: obtaining a to-be-processed image which comprises textinformation, and the text information comprises one or more lines of texts; inputting the to-be-processed image into a first target detection model for detection to obtain a text image containing textinformation; inputting the text image into a second target detection model for detection, and obtaining an individual character detection box containing individual character information; and sortingall the individual character information according to the coordinates of the individual character detection box to obtain complete text information. The invention also discloses corresponding computing equipment and a readable storage medium.
Owner:BEIJING CHESHANGHUI SOFTWARE
Evaluating method for Chinese character writing correctness
InactiveCN104408471AReminder to correct mistakesCharacter and pattern recognitionAlgorithmCharacter (computing)
The invention discloses an evaluating method for the Chinese character writing correctness. The evaluating method comprises the following steps: pre-storing coded information of strokes of standard Chinese characters, then collecting information of strokes of Chinese characters written by a user, coding the strokes of the Chinese characters written by the user, analyzing and comparing codes of all strokes, computing a score, analyzing and comparing the reasonability of Chinese character structures, computing a score, and finally grading the Chinese character writing correctness. By adopting the method, a method which can automatically evaluate whether Chinese character writing strokes, stroke orders and Chinese character structures are correct and timely and accurately remind the user to correct mistakes can be obtained.
Owner:读书郎教育科技有限公司
Interactive notepad for computing equations in context
InactiveUS20140372849A1Text processingSpecial data processing applicationsCharacter (computing)Theoretical computer science
A system, method and computer program product for interactive computing of equations in context includes finding a beginning and an end of a line of text comprising an equals sign and determining if the line is an equation based on any predefined mathematical notation existing in the line; and determining a string variable name comprising all characters and spaces between any two of the predefined mathematical notation, the equals sign and the beginning and the end of the equation wherein the string variable name comprises any Unicode character including a space, a non-breakable space and a plurality of any Unicode characters including numbers, special and non-printed characters. Declaring in the user's electronic notes any computed and numerically unassigned variable(s) in context with the equation and any related variable(s) is further included. An interactive note computation may either be explicitly or implicitly initiated via a button or a contextual expression.
Owner:FREEDMAN ELIA +1
Text classification method, computing device and computer storage medium
ActiveCN111475651AImprove accuracyIncrease speedSemantic analysisEnergy efficient computingText categorizationCharacter (computing)
The invention discloses a text classification method, computing equipment and a computer storage medium, and the method comprises the steps: carrying out the training of an unsupervised corpus, extracting the semantic features of all characters in the unsupervised corpus and the semantic features of all common words, and obtaining a corpus feature set; performing word segmentation processing on the labeled sample corpus to obtain a word segmentation processing result, and determining common words and non-common words contained in the word segmentation processing result; carrying out segmentation processing on the non-common words to obtain each character contained in the non-common words; semantic features corresponding to common words contained in the word segmentation processing result and semantic features corresponding to all characters contained in non-common words are obtained from the corpus feature set; training to obtain a violation classification model according to the obtained semantic features and the annotation information of the annotated sample corpus; and based on the violation classification model, performing classification processing on the to-be-classified text.According to the method, semantic-level content classification can be realized, and the text classification accuracy is improved.
Owner:ZHANGYUE TECH CO LTD
Feature-based autocorrection
A computing device is described that outputs for display at a presence-sensitive screen, a graphical keyboard having keys. The computing device receives an indication of a selection of one or more of the keys. Based on the selection the computing device determines a character string from which the computing device determines one or more candidate words. Based at least in part on the candidate words and a plurality of features, the computing device determines a spelling probability that the character string represents an incorrect spelling of at least one candidate word. The plurality of features includes a spatial model probability associated with at least one of the candidate words. If the spelling probability satisfies a threshold, the computing device outputs for display the at least one candidate word.
Owner:GOOGLE LLC
Fault-tolerant input method editor
InactiveCN105683873ANatural language data processingInference methodsUser inputCharacter (computing)
A computer-implemented method can include receiving, at a computing device including one or more processors, an input from a user. The input can include one or more characters in a first writing system. The method can further include segmenting the input to obtain one or more segmentations, where each segmentation can include at least one segment including at least one character in the first writing system. A fuzzy model can be applied to the segmentations to obtain potential formal representations for the segmentations. Each of the potential formal representations can be in the first writing system and represent text in a second writing system. A plurality of character candidates can be determined based on the potential formal representations. Each of the plurality of character candidates can be a possible appropriate representation of the user input in the second writing system.
Owner:GOOGLE LLC
Chinese named entity recognition method based on multilevel residual convolution and attention mechanism
PendingCN112926323AReduce overfittingImprove recognition accuracyMathematical modelsSemantic analysisConditional random fieldAlgorithm
The invention discloses a Chinese named entity recognition method based on multilevel residual convolution and an attention mechanism, and belongs to the field of natural language processing. According to the method, a multi-level residual convolutional network of a joint attention mechanism is adopted. In order to solve the problem that the model efficiency is low when a traditional recurrent neural network processes sequence information, multi-stage residual convolution is introduced to obtain local context information in different ranges, the computing power of hardware is fully utilized, and the model efficiency is remarkably improved. In addition, the recurrent neural network cannot effectively acquire global context information due to gradient disappearance and gradient explosion problems, so that the performance of the network is greatly influenced. According to the method, an attention mechanism is introduced into the network, and the importance weight of each character is calculated by constructing the relationship between each character and the sentence, so that global information is learned. Finally, the transition probability of the character tag is calculated by using the conditional random field to obtain a reasonable prediction result, and the robustness of the named entity recognition model is further improved.
Owner:JIANGNAN UNIV
Gesture keyboard input of non-dictionary character strings using substitute scoring
ActiveCN104123012AInput/output for user-computer interactionNatural language data processingGraphicsSpatial model
Owner:GOOGLE LLC
Data processing method and device, identification method and device and computing equipment
PendingCN112836498AImprove Fusion AccuracyAchieve trainingNatural language data processingGraphicsText recognition
The embodiment of the invention provides a data processing method and device, an identification method and device and computing equipment. A plurality of elements obtained by segmenting a training text are respectively expressed as nodes; wherein the element is composed of a single character or multiple characters; the plurality of different types of dictionaries are represented as nodes respectively; edges between the nodes are represented by using an incidence relation between the nodes, and a first graph is constructed; a text recognition model is trained by utilizing the first graph and training labels respectively marked for the plurality of elements; feature words in the text to be processed can be recognized and obtained by utilizing the text recognition model. According to the technical scheme provided by the embodiment of the invention, the text expression accuracy is improved, the model training accuracy is improved, and the text recognition accuracy is improved.
Owner:ALIBABA GRP HLDG LTD
Language switching method and device, equipment and storage medium
PendingCN111831384AReduce manual workloadReduce development costsExecution for user interfacesProgramming languageCharacter (computing)
The invention provides a language switching method, and relates to the field of computer vision, in particular to the field of cloud platforms and cloud computing. The method comprises the steps of obtaining a source file containing first language characters; converting the source file into a first abstract syntax tree comprising a plurality of nodes; determining a target node containing the firstlanguage text in a plurality of nodes of the first abstract syntax tree; replacing a first language text contained in a target node of the first abstract syntax tree with a calling instruction of a language switching program to generate a second abstract syntax tree; and converting the second abstract syntax tree into an execution file used for presenting the page, and calling the language switching program through the calling instruction when the execution file is executed so as to switch the characters to be presented on the page from the first language characters to the second language characters. The invention further provides a language switching device, switching equipment and a storage medium.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD
Audio and text synchronization method, computing device and storage medium
ActiveCN112133309AEasy to establish synchronization relationshipImprove experienceRecord information storageNatural language data processingCharacter (computing)Speech sound
Owner:ZHANGYUE TECH CO LTD
Text detection, insertion symbol tracking, and active element detection
Detection of typed and / or pasted text, insertion symbol tracking, and active element detection for computing systems are disclosed. In some embodiments, locations on a screen associated with a computing system at which a user always enters or pastes text may be identified, the text potentially including hot keys or other keys that do not cause the appearance of visible characters, and the physical location on the screen where the typing or pasting has occurred may be provided based on the location where the one or more characters have occurred, the location where the cursor is flickering, or the current resolution of both. This may be accomplished by identifying locations on the screen where changes have occurred and performing text recognition and / or inserted symbol detection on these locations. The physical location of the typing or pasting activity allows for the determination of active or focus elements in an application displayed on the screen.
Owner:UIPATH INC
Intelligent auxiliary learning system based on knowledge graph and edge calculation
PendingCN112015920AEasy to learnRecognition is fast and preciseData processing applicationsSemantic analysisPersonalizationPersonalized learning
The invention discloses an intelligent auxiliary learning system based on a knowledge graph and edge calculation. The invention includes converting course question characters and voice data input by alearner into internal representation data of a machine; accessing a knowledge graph module in the server through edge computing, and analyzing the input data under the assistance of the knowledge graph module to obtain language recognition data; synthesizing the analyzed language recognition data input by the learner and the corresponding learning information returned by the knowledge graph module to generate a related question answer; feeding back to learners. According to the invention, intelligent auxiliary learning can be realized; personalized learning services are provided for learners,the learners can obtain effective and accurate learning schemes, the recognition efficiency is improved, resource waste is reduced, accurate recognition can be achieved without establishing a huge recognition database, occupied network resources are reduced, and the phenomena of insensitive reaction, jamming and the like are avoided.
Owner:CHONGQING RADIO & TV UNIV
Question and answer task downstream task processing method and model
The invention discloses a question and answer task downstream task processing method and model, and the method comprises the steps: obtaining a context representation HCKey perceived by key information and a question representation HQKey perceived by key information, and generating a context representation G perceived by a question; calculating an update vector z and a memory weight g based on G, and updating G to obtain an output vector Gg; generating a context granularity vector GC and a sequence granularity vector GCLS, generating an output vector Cout, using softmax to calculate the probability that each character in the context serves as an answer starting and ending position, and extracting a continuous subsequence with the maximum probability to serve as an answer. The invention provides a two-way cascading attention mechanism, and constructs a mechanism taking fine reading and slight reading as a whole and a multi-granularity module based on a granular computing thought, so that the model effectively pays attention to and screens effective information, better understands texts under various granularities, gives out more accurate answers, and improves the accuracy of text analysis. And the performance is improved on the basis of a baseline model.
Owner:四川好久来科技有限公司
Text processing method and device and computing equipment
ActiveCN111274793AGood modelingFew parametersDigital data information retrievalNatural language data processingHidden layerAlgorithm
The invention discloses a text processing method and device and computing equipment. The method comprises the steps that a stroke vector matrix is generated based on stroke information of a single character in a word, the single character is an ideographic character, and strokes are minimum continuous stroke units of the single character; inputting the stroke vector matrix into a first neural network for processing to obtain word vectors of words; word vectors of all words in the word sequence are obtained and input into a second neural network to be processed, hidden layer representation of the word sequence is obtained, and the hidden layer representation is used for representing the distribution probability of the next word of the word sequence.
Owner:ALIBABA GRP HLDG LTD
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