-
公开(公告)号:US20240281489A1
公开(公告)日:2024-08-22
申请号:US18646079
申请日:2024-04-25
申请人: Aum Mehta
发明人: Aum Mehta
IPC分类号: G06F16/9538 , G06F40/232 , G06F40/242 , G06F40/295 , G06F40/30 , G06V30/10
CPC分类号: G06F16/9538 , G06F40/232 , G06F40/242 , G06F40/295 , G06F40/30 , G06V30/10
摘要: A personalized language and vocabulary learning system, method, and application is disclosed. A computer-implemented system for language and vocabulary learning is described. The system includes a software tool, browser extension, or mobile application that generates a customized list of words based on content being read, listened, or watched. The tool identifies unfamiliar words, fetches comprehensive vocabulary data, and allows users to review, and revise collected words. It filters out common words, utilizes advanced natural language processing algorithms, and offers customization options. Users can add words to their vocabulary lists, generate flashcards or quizzes, and view familiarity levels with a highlighting module. The tool is compatible with various browsers and operating systems, can be integrated into existing applications, and offers options for reminders, audio or video presentations. It serves as a valuable resource for easily accessing and learning from a comprehensive vocabulary database, aiding in language learning and vocabulary expansion.
-
公开(公告)号:US12067354B2
公开(公告)日:2024-08-20
申请号:US16668501
申请日:2019-10-30
发明人: Matthew Berkland , Daniel D. Martin
IPC分类号: G06F40/174 , G06F3/04895 , G06F40/111 , G06F40/18 , G06F40/232 , G06Q40/12
CPC分类号: G06F40/174 , G06F3/04895 , G06F40/111 , G06F40/232 , G06F40/18 , G06Q40/123
摘要: Simplification of complex input strings is utilized for user convenience, such that the user may input a complex input string in lieu of performing an external calculation and inputting the result thereof. The simplification identifying at least one operator in the complex input string indicative of a mathematical operation, identifying a first sub-string and a second sub-string in the input string, comparing the first sub-string to an expectation identification associated with the input field to determine a significance of the first sub-string, comparing the first sub-string to a range expectation associated with said significance to determine if the first sub-string meets the range expectation, and calculating a simplified input string by performing the mathematical operation on the first sub-string and the second sub-string.
-
公开(公告)号:US20240256768A1
公开(公告)日:2024-08-01
申请号:US18103195
申请日:2023-01-30
申请人: Walmart Apollo, LLC
发明人: Adithya Rajan , Weiqi Tong , Zheng Yan
IPC分类号: G06F40/232 , G06F16/2455
CPC分类号: G06F40/232 , G06F16/24552
摘要: A method including extracting queries from historical search query data. The method also can include spellchecking each of the queries (i) using a first spellcheck model and (ii) using a second spellcheck model. A latency of the first spellcheck model is lower than a latency of the second spellcheck model, and an overall accuracy of the second spellcheck model is higher than an overall accuracy of the first spellcheck model. The method additionally can include determining first queries of the queries in which, for each of the first queries, a first respective spellcheck output from the first spellcheck model is different from a second respective spellcheck output from the second spellcheck model. The method further can include adding at least a portion of the first queries to a spellcheck cache for runtime spellchecking. Other embodiments are described.
-
4.
公开(公告)号:US20240249075A1
公开(公告)日:2024-07-25
申请号:US18425657
申请日:2024-01-29
发明人: Sally Gao , Hella-Franziska Hoffmann , Nina Hristozova , Elizabeth Roman , Nicolai Pogrebnyakov , Yue Feng , Masoud Makrehchi , Tate Sterling Avery , Shohreh Shaghaghian , Borna Jafarpour
IPC分类号: G06F40/279 , G06F3/0481 , G06F40/109 , G06F40/137 , G06F40/166 , G06F40/232 , G06F40/242 , G06F40/258 , G06F40/284 , G06F40/289 , G06V30/416
CPC分类号: G06F40/279 , G06F3/0481 , G06F40/109 , G06F40/137 , G06F40/166 , G06F40/232 , G06F40/242 , G06F40/258 , G06F40/284 , G06F40/289 , G06V30/416
摘要: The present disclosure is directed towards systems and methods for detecting deviations between documents and portions thereof, extracting information from text and detecting deviations between obligations. Information is extracted by identifying defined terms and their definitions in input text as well as by identifying portions of different input texts relevant to a point of interest and detecting deviations in those portions between the different input texts.
-
公开(公告)号:US20240169149A1
公开(公告)日:2024-05-23
申请号:US17977973
申请日:2022-10-31
IPC分类号: G06F40/232 , G06F40/253 , G06F40/263
CPC分类号: G06F40/232 , G06F40/253 , G06F40/263
摘要: A computer implemented method includes receiving text corresponding to a span of text. Language detection is performed on the received text to generate multiple language candidates. The received text is also proofed over multiple languages to generate multiple language proofing critiques. A most likely language is generated for the received text as a function of the language candidates and the multiple language proofing critiques.
-
公开(公告)号:US20240143583A1
公开(公告)日:2024-05-02
申请号:US18486108
申请日:2023-10-12
发明人: Alan Jeffrey Menaged , Elliott Rain Morelli , Daniel Jaebin Park , Jonathan William Price , Daniel Benjamin Rand , Timothy Cao Tran
IPC分类号: G06F16/242 , G06F16/2457 , G06F16/248 , G06F40/232 , G06F40/284 , G06F40/295 , H04L51/02
CPC分类号: G06F16/243 , G06F16/2457 , G06F16/248 , G06F40/232 , G06F40/284 , G06F40/295 , H04L51/02
摘要: A system comprising a client device and a server network, the client device configured to receive a query; transmit the query; receive a populated response; and display the populated response. The server network may be configured to receive the query; tokenize the query; generate an intent-match likelihood for each of a plurality of supported question intents; classify the query based on the intent-match likelihoods; evaluate each of the intent-match likelihoods to a confidence threshold; extract, via a Named Entity Recognition model, one or more entities from the query; determine one or more entity values for each of the one or more entities; query the at least one database to incorporate intent to the one or more entities and the one or more entity values; populate a response template with the one or more entity values and one or more specifics; and store the query and the populated response.
-
公开(公告)号:US20240089516A1
公开(公告)日:2024-03-14
申请号:US18389315
申请日:2023-11-14
申请人: Rovi Guides, Inc.
IPC分类号: H04N21/234 , G06F40/166 , G06F40/232 , G06F40/40 , H04N21/2343 , H04N21/488
CPC分类号: H04N21/23424 , G06F40/166 , G06F40/232 , G06F40/40 , H04N21/234336 , H04N21/4884
摘要: Systems and methods are described to address shortcomings in conventional systems by correcting an erroneous term in on-screen caption text for a media asset. In some aspects, the systems and methods identify the erroneous term in a text segment of the on-screen caption text, and identify one or more video frames of the media asset corresponding to the text segment. The systems and methods further identify a contextual term related to the erroneous term from the one or more video frames. By accessing a knowledge graph, the systems and methods identify a candidate correction based on the contextual term and a portion of the text segment. Lastly, the systems and methods replaces the erroneous term with the candidate correction.
-
公开(公告)号:US11861301B1
公开(公告)日:2024-01-02
申请号:US18177217
申请日:2023-03-02
申请人: The Boeing Company
IPC分类号: G06F17/00 , G06F40/18 , G06F40/242 , G06F40/279 , G06F40/232 , G06T11/20 , G06F40/247
CPC分类号: G06F40/18 , G06F40/232 , G06F40/242 , G06F40/247 , G06F40/279 , G06T11/206
摘要: A method, apparatus, and computer system for grouping parts. Sets of unigrams are generated from text in part lists for parts in a family of parts using natural language processing, wherein a set of unigrams in the sets of unigrams represent components for a part in the parts. A document term matrix is created using the sets of unigrams. The document term matrix describes a presence of components in the parts. A number of unigrams from the document term matrix that has occurrences in the document term matrix that are greater than a common design threshold is removed. Removing the number of unigrams from the document term matrix forms a processed document term matrix. The common design threshold identifies a level of occurrence not useful in differentiating the parts from each other. The parts are clustered into groups using the processed document term matrix.
-
公开(公告)号:US20230334241A1
公开(公告)日:2023-10-19
申请号:US17659823
申请日:2022-04-19
发明人: Elizabeth DALY , Oznur ALKAN , Anup KALIA , Jin XIAO , Bei CHEN , Rahul NAIR
IPC分类号: G06F40/232 , G06F40/211 , G06F40/166 , G06F16/335 , G06N5/02
CPC分类号: G06F40/232 , G06F40/211 , G06F40/166 , G06F16/337 , G06N5/022
摘要: Learning and correcting errors in text input fields to an artificial intelligence (AI) system includes receiving, by the AI system from a target system, an input text. The AI system executes a text processing operation on the input text by applying at least one transformer from a library of transformers to the input text to generate transformed text. At least one proposed correction to the input text is output by the AI system based on an analysis of the transformed text. Feedback data, associated with the at least one proposed correction, is then received from a user of the target system to iteratively learn, by the AI system, which of the transformers need be applied on future input text to accurately generate future proposed corrections on the future input text.
-
公开(公告)号:US11775768B2
公开(公告)日:2023-10-03
申请号:US17941255
申请日:2022-09-09
申请人: Verint Americas Inc.
发明人: Scott Mackie
IPC分类号: G06F40/30 , G06F40/166 , G06F40/232 , G06F40/253 , H04L51/42 , H04L51/212 , H04L51/214
CPC分类号: G06F40/30 , G06F40/166 , G06F40/232 , G06F40/253 , H04L51/212 , H04L51/214 , H04L51/42
摘要: The present invention allows text analysis and routing of an outgoing message. The system intercepts outgoing messages for analysis by a TAS software module. The module assigns an analytical score to the message, then compares the score to a threshold. If the score is below the threshold, the message is transmitted to its ultimate destination. If not, the message may be routed for correction by the message's composer or quality assurance staff. After such correction, the message new analytical score is generated and compared, and, if necessary, the process repeats again.
-
-
-
-
-
-
-
-
-