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91 results about "Character (computing)" patented technology

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

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

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

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

Real-time multi-modal language analysis system and method based on mobile edge intelligence

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

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

Error correction method and device for Chinese text in power field, storage medium and computing equipment

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

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 classification method, computing device and computer storage medium

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

Chinese named entity recognition method based on multilevel residual convolution and attention mechanism

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

Audio and text synchronization method, computing device and storage medium

The invention discloses an audio and text synchronization method, computing equipment and a storage medium, and the method comprises the steps: obtaining an audio to be matched and a first text, and segmenting the first text to obtain a first statement set; segmenting the audio to obtain an audio fragment set, performing voice recognition on each audio fragment in the audio fragment set to obtaineach fragment statement, combining the fragment statements to obtain a second text, and obtaining a character sequence corresponding to the second text; sequentially extracting a first statement fromthe first statement set, obtaining a first character sequence corresponding to the first statement, extracting a second character sequence from a character sequence corresponding to the second text according to a preset window, matching the first character sequence with the second character sequence, and determining a third character sequence matched with the first character sequence, and establishing a synchronization relationship between the audio fragment corresponding to the third character sequence and the first statement. According to the scheme, accurate determination of the synchronization relationship between the audio fragments and the statements is realized.
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
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