Translation Machine Patents (Class 704/2)
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Patent number: 12380284Abstract: A text translation method is described that includes initially acquiring text. Thereafter, first text is determined in the initial text; and second text is determined according to the first text, where the second text is used for describing the first text. Additionally, initial text is translated to obtain initial translation text, and the second text is translated to obtain description translation text. Thereafter, the initial translation text is updated according to the description translation text to obtain target translation text of the initial text.Type: GrantFiled: March 14, 2023Date of Patent: August 5, 2025Assignee: Beijing Baidu Netcom Science and Technology Co., Ltd.Inventors: Ruiqing Zhang, Hui Liu, Xiyang Wang, Zhongjun He, Zhi Li, Hua Wu
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Patent number: 12361296Abstract: In an approach, a processor creates a multi-layered knowledge graph (KG), wherein a first layer is a core KG, a second layer has application-specific structured facts, and a third layer has individualized facts. A processor adapts weights in each layer of the multi-layered KG based on the individualized facts. A processor uses, as input data to the multi-layered KG, individual environmental data. A processor maps the input data to the multi-layered KG in a sequence of the first layer, the second layer, and the third layer. A processor selects, as relevant nodes in the first layer and the second layer, the relevant nodes lying on a selected path from the input data via the first layer, the second layer, and the third layer having the highest average weight value along the selected path. A processor outputs facts of the relevant nodes from the first layer and the second layer.Type: GrantFiled: November 24, 2020Date of Patent: July 15, 2025Assignee: International Business Machines CorporationInventors: Stefan Ravizza, Matthias Biniok, Frederik Frank Flöther, Patrick Lustenberger, David Ocheltree, Saurabh Yadav
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Patent number: 12347196Abstract: A method and system for recording, organizing, and tracing events is disclosed. In some embodiments, the method includes obtaining real-time video data captured using a video capturing equipment. The real-time video data comprises a plurality of sequential image frames and audio data associated with each of a plurality of events. The method further includes extracting first timestamp data and first text data from each of the plurality of sequential image frames, extracting second timestamp data and second text data from the audio data, generating text data associated with each of the plurality of events based on the first timestamp data, the first text data, the second timestamp data, and the second text data, storing the generated text data for subsequent audit, and discarding the real-time video data associated with each of the plurality of events.Type: GrantFiled: March 24, 2022Date of Patent: July 1, 2025Assignee: HCL Technologies LimitedInventors: Simy Chacko, Venkatesh Shankar, Ramesh Gurusamy, Vijay Kulandaisamy
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Generating synthetic user data for training and evaluation of machine learning-based language models
Patent number: 12340178Abstract: A system generates synthetic user profiles. The system receives various user profile parameters including a trajectory representing variation of relevance scores of epochs. The trajectory may be specified using any representation of a graph, including an image representation of a line graph, a set of tuples representing coordinates of the trajectory, or a natural language description of the trajectory. The user profile parameters may specify characteristics of epochs including the number of epochs, the aggregate time period of the epochs, and lengths of various epochs. The system generates a synthetic user profile using a machine learning-based language model. The system generates a user profile comprising a sequence of epochs such that the relevance scores of the sequence of epochs varies over time according to the specified trajectory. The synthetic user profiles may be used for training or evaluation of a machine learning-based models or systems based on such models.Type: GrantFiled: November 19, 2024Date of Patent: June 24, 2025Inventor: Yashraj Panwar -
Patent number: 12333268Abstract: Systems and methods for handling multilingual queries are provided. One example method includes receiving, at a computing device, an input, wherein the input comprises a multi-lingual query comprising at least a first source language and a second source language. The multi-lingual query is translated, word for word, into a destination language to produce a monolingual query, with the word order of the multilingual query and the word order of the monolingual query being the same. The monolingual query is processed using natural language processing to map the mono-lingual query to a natural language query in the destination language.Type: GrantFiled: February 8, 2024Date of Patent: June 17, 2025Assignee: ADEIA GUIDES INC.Inventors: Ajay Kumar Mishra, Jeffry Copps Robert Jose
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Patent number: 12333264Abstract: Systems and methods are provided for use of use of fuzzy-match-based translation suggestions to augment machine translation of input sentences or other texts. A machine translation system may use a model trained to translate a source language input to a target language output based on pseudo-randomly selected translation suggestions in the target language, while at inference time the machine translation system may use translation selections associated with source language samples that have a high degree of similarity to the source language input to be translated. To efficiently use the translation suggestions, they may be encoded in context with the source language input to be translated, and the machine translation system may use the encoded translation suggestions with to generate a translation in the target language.Type: GrantFiled: March 21, 2022Date of Patent: June 17, 2025Assignee: Amazon Technologies, Inc.Inventors: Cuong Hoang, Prashant Mathur, Marcello Federico, Devendra Singh Sachan
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Patent number: 12327089Abstract: A first natural language understanding (NLU) model associated with a first language is obtained. A second natural language understanding model associated with a second language different from the first language is obtained. The second NLU model is functionally consistent with the first NLU model. A change to a functionality of the first NLU model is detected. In response to detecting the change to the functionality of the first NLU model, the change is automatically propagated to the second NLU model.Type: GrantFiled: June 12, 2024Date of Patent: June 10, 2025Assignee: ServiceNow, Inc.Inventors: Shiva Shankar Ramanna, Mimi Yu, Anantha Sai Ram, Akanksha Aggarwal, Erin Yu
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Patent number: 12299407Abstract: The present disclosure provides a model training method and apparatus, an electronic device, and a storage medium, and relates to the field of artificial intelligence, in particular, to the field of natural language processing and deep learning. A specific implementation solution includes: constructing initial training corpora; performing data enhancement on the initial training corpora based on an algorithm contained in a target algorithm set to obtain target training corpora, wherein the target algorithm set is determined from multiple algorithm sets, and different algorithm sets are used for performing data enhancement on corpora with different granularity in the initial training corpora; and performing training on a language model based on the target training corpora to obtain a sequence labeling model, herein the language model is pre-trained based on text corpora.Type: GrantFiled: August 26, 2022Date of Patent: May 13, 2025Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., INC.Inventors: Huihui He, Leyi Wang, Duohao Qin, Minghao Liu
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Patent number: 12282747Abstract: A method includes: acquiring an input sentence in a first language in a current round of conversation; translating the input sentence in the first language to obtain an input sentence in a second language, according to dialogue contents in the first language and dialogue contents in the second language that have a mutual translation relationship with the dialogue contents in the first language in historical rounds of conversation; invoking a multi-round conversation generation model to parse the input sentence in the second language in the current round of conversation to generate an output sentence in the second language in the current round of conversation; translating the output sentence in the second language in the current round of conversation to obtain at least one candidate result in the first language; and determining an output sentence in the first language from the at least one candidate result in the first language.Type: GrantFiled: July 21, 2022Date of Patent: April 22, 2025Assignee: UBTECH ROBOTICS CORP LTDInventor: Li Ma
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Patent number: 12277145Abstract: The present disclosure relates to the technical field of information retrieval, and discloses a method for constructing an entity relationship graph, including: performing entity recognition and an operation of uniting like terms on the text to be processed to obtain a standard text entity set; performing grammatical structure analysis on the text to be processed, to obtain a grammatical relationship graph; selecting the node connected to the connection edge in the grammatical relationship graph as a target connection node and performing vector conversion to obtain a text vector, and analyzing a text entity relationship between the target connection nodes according to the text vectors; constructing a knowledge graph according to the standard text entities and the text entity relationship to obtain the entity relationship graph corresponding to the text to be processed. The present disclosure can improve the accuracy of the text entity relationship graph.Type: GrantFiled: March 8, 2024Date of Patent: April 15, 2025Assignee: Beijing Hydrophis Network Technology Co., Ltd.Inventor: Feng Hong
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Patent number: 12277927Abstract: Systems and methods are provided for obtaining, training, and using an end-to-end AST model based on a neural transducer, the end-to-end AST model comprising at least (i) an acoustic encoder which is configured to receive and encode audio data, (ii) a prediction network which is integrated in a parallel model architecture with the acoustic encoder in the end-to-end AST model, and (iii) a joint layer which is integrated in series with the acoustic encoder and prediction network. The end-to-end AST model is configured to generate a transcription in the second language of input audio data in the first language such that the acoustic encoder learns a plurality of temporal processing paths.Type: GrantFiled: March 15, 2022Date of Patent: April 15, 2025Assignee: Microsoft Technology Licensing, LLCInventors: Jinyu Li, Jian Xue, Matthew John Post, Peidong Wang
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Patent number: 12272383Abstract: Systems and techniques for validation and generation of localized content for audio and video are described herein. The systems and techniques provide for training of twin neural networks to evaluate performance characteristics, sometimes referred to as content-auxiliary characteristics, of a localized performance. The localized performance may be validated or improved by identifying misalignment in the performance characteristics to ensure that localized content preserves content as well as creative intent and performance ability in the final product. The machine learning models trained using the techniques described herein may be used in connection with auto-localization processes to automatically generate high quality localized audio and video content.Type: GrantFiled: January 14, 2024Date of Patent: April 8, 2025Assignee: Amazon Technologies, Inc.Inventors: Rohun Tripathi, Angshuman Saha, Naveen Sudhakaran Nair
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Patent number: 12263408Abstract: Certain aspects of the present disclosure include systems and techniques for generating content that indicates a sensation associated with audio. One example method generally includes monitoring audio to be played during display of an associated portion of an interactive content stream provided over a communication network to at least one viewing device during an interactive session, and analyzing, via a machine learning component, the audio to determine a sensation associated with at least a portion of the audio. The method may also include determining an effect indicating the sensation, wherein the effect is associated with one or more output devices associated with the at least one viewing device, and outputting an indication of the effect to the associated output devices, wherein the effect is configured to be output along with the audio in real-time with the display of the associated portion of the interactive content stream.Type: GrantFiled: July 21, 2022Date of Patent: April 1, 2025Assignees: SONY INTERACTIVE ENTERTAINMENT LLC, SONY INTERACTIVE ENTERTAINMENT INC.Inventors: Victoria Walker, Olga Rudi, Aslanta Chen, Phoenix Nitta-Hill, Charles McCoy, Steven Osman
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Patent number: 12248758Abstract: A generation device is a device that generates a translated sentence in a second language from an input sentence in a first language to be translated. The generation device includes: an acquisition unit that acquires the input sentence; a normalization unit that converts the input sentence into a normalized sentence that is a grammatically correct sentence in the first language; and a first translation unit that generates the translated sentence by translating the normalized sentence into the second language using first parallel translation data that is parallel translation data between the first language and the second language. The normalization unit generates the normalized sentence by using second parallel translation data that is parallel translation data between a third language and the first language. A data amount of the second parallel translation data is larger than a data amount of the first parallel translation data.Type: GrantFiled: April 17, 2020Date of Patent: March 11, 2025Assignee: NTT DOCOMO, INC.Inventors: Toshimitsu Nakamura, Noritaka Okamoto, Wataru Uchida, Yoshinori Isoda
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Patent number: 12249168Abstract: A method, computer system, and a computer program product for text detection is provided. The present invention may include training a text detection model. The present invention may include performing text detection on an inputted image using the trained text detection model. The present invention may include determining whether at least one of a plurality of bounding boxes generated using the inputted image has an aspect ratio above a threshold. The present invention may include based upon determining that at least one of the plurality of bounding boxes generated using the inputted image has the aspect ratio above the threshold, upscaling any text within the at least one bounding box and performing text detection on a new image using the trained text detection model. The present invention may include outputting an output image.Type: GrantFiled: January 31, 2022Date of Patent: March 11, 2025Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Ophir Azulai, Udi Barzelay, Oshri Pesah Naparstek
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Patent number: 12248598Abstract: Provided is a system and method for processing Compliance Data Subject Requests (DSRs) across a network by providing an executable planning model that contains a DSR domain description language, a DSR action description language, DSR problem templates, and predetermined logical, temporal, and dependency constraints. The DSR domain description language includes domains, with each domain including a domain name, and an object hierarchy representing various objects and their inter-relationship within each domain. The DSR action description language includes at least DELETE, REMOVE, OBFUSCATE, and ENCRYPT actions. The DSR problem templates each correspond to an operation that operates upon a compliance object within one of the domains, using at least one of the DSR actions. An instance of DSR processing may comprise receiving from a user DSR that includes a user object on which DSR processing is required and automatically processing the user DSR by executing the executable planning model.Type: GrantFiled: May 3, 2024Date of Patent: March 11, 2025Assignee: Capeit.ai, Inc.Inventor: Tarique Mustafa
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Patent number: 12242568Abstract: Techniques are disclosed for augmenting data sets used for training machine learning models and for generating predictions by trained machine learning models. These techniques may increase a number and diversity of examples within an initial training dataset of sentences by extracting a subset of words from the existing training dataset of sentences. The techniques may conserve scarce sample data in few-shot situations by training a data generation model using general data obtained from a general data source.Type: GrantFiled: September 6, 2022Date of Patent: March 4, 2025Assignee: Oracle International CorporationInventors: Ariel Gedaliah Kobren, Swetasudha Panda, Michael Louis Wick, Qinlan Shen, Jason Anthony Peck
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Patent number: 12242810Abstract: Methods and apparatuses for performing context completion to messages in a session are provided in the present disclosure. A message may be obtained. It may be detected that there exists context ellipsis in the message. It may be determined whether the message is retained in the current domain of the session. In response to determining that the message is retained in the current domain, a complementary text for recovering the context ellipsis may be selected in the current domain. A completed message may be generated based on the message and the complementary text.Type: GrantFiled: June 17, 2020Date of Patent: March 4, 2025Assignee: Microsoft Technology Licensing, LLCInventors: Pingping Lin, Ruihua Song, Lei Ding, Yue Liu, Min Zeng
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Patent number: 12229526Abstract: A smart translation system that translates the input content received from an application based on translation metadata and the application is disclosed. It is initially determined if a translation of the input content exists in a user cache. If it is determined that the translation of the input content exists in the user cache, the translation is retrieved from the user cache. Else, if it is determined that the translation of the input content does not exist in the user cache, the domain and language contexts of the input content are determined and an automatic translation engine is selected based on the contexts and the translation metadata. The translated content is presented to the user via the application while maintaining the look and feel of the application.Type: GrantFiled: August 31, 2022Date of Patent: February 18, 2025Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Prakash Ghatage, Naveen Kumar Thangaraj, Kaustubh Kurhekar, Sreevidya Prasad, Sriram Sankaranarayanan
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Patent number: 12229529Abstract: The possibility of a desired program being automatically generated is increased by a program generation device including: a storage unit that stores a set of pairs each constituted by a program and natural language that describes a specification of the program; a search unit configured to search for a first program having a structure that is the closest to a structure of a program to be generated, from the set, by inputting natural language that describes a specification of the program to be generated and natural language included in the pairs to a model that has been caused to learn a relationship between natural language describing a specification of a program and similarity of a structure of the program; and a change unit configured to change the first program to generate a second program that satisfies at least one pair of an input value and an output value.Type: GrantFiled: February 12, 2020Date of Patent: February 18, 2025Inventors: Toshiyuki Kurabayashi, Hiroyuki Kirinuki, Yu Yoshimura
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Patent number: 12229514Abstract: System and method are provided for identification and classification of multilingual messages that would be considered inappropriate in an online interactive portal. The system may include processors to generate a set of data of intended inappropriate multilingual messages to train classification model. The set of data with labels is classified by assigning unique identifiers. The system includes pre-processing module to eliminate unwanted characters from set of data to train classification model. The classification model may be trained by multilingual representation module based at least in part on set of data with labels. The classification model determines whether set of data with one or more labels includes intended inappropriate multilingual messages. Furthermore, feedback loop module is utilised to retrain classification model recurrently to update set of data.Type: GrantFiled: January 25, 2022Date of Patent: February 18, 2025Assignee: Extramarks Education India Pvt Ltd.Inventors: Ritvik Kulshrestha, Gaurav Sharma, Deep Dwivedi, Abhra Das, Suman Gadhawal, Vipin Tripathi
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Patent number: 12205614Abstract: Methods and apparatus are described for evaluating dubbing of media content. Emotions are identified based on combinations of attributes determined for segments of a source language audio and a dubbed audio. The emotions may be compared to determine emotional prosody transfer between the source audio and dubbed audio. Based on the comparison, a notification is generated indicating whether an emotion classification associated with the source audio matches an emotion classification associated with the dubbed audio.Type: GrantFiled: April 28, 2022Date of Patent: January 21, 2025Assignee: Amazon Technologies, Inc.Inventors: Mayank Sharma, Anil Kumar Nelakanti, Palanivelu Balakrishnan, Saravanan Santhamoorthy Theckyam, Honey Gupta
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Patent number: 12205028Abstract: A computer-implemented method for multi-model representation learning is provided. The method includes encoding, by a trained time series (TS) encoder, an input TS segment into a TS-shared latent representation and a TS-private latent representation. The method further includes generating, by a trained text generator, a natural language text that explains the input TS segment, responsive to the TS-shared latent representation, the TS-private latent representation, and a text-private latent representation.Type: GrantFiled: October 3, 2022Date of Patent: January 21, 2025Assignee: NEC CorporationInventors: Yuncong Chen, Zhengzhang Chen, Xuchao Zhang, Wenchao Yu, Haifeng Chen, LuAn Tang, Zexue He
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Patent number: 12204627Abstract: Systems, methods, and non-transitory computer readable media including instructions for interpreting facial skin micromovements are disclosed. An example head mountable system includes a housing configured to be worn on a head of a wearer. The head mountable system also includes at least one detector integrated with the housing and configured to receive light reflections from a facial region of the head and to output associated reflection signals. The head mountable system also includes at least one microphone associated with the housing and configured to capture sounds produced by the wearer and to output associated audio signals. The head mountable system also includes and at least one processor in the housing, configured to use both the reflection signals and the audio signals to generate output that corresponds with words articulated by the wearer.Type: GrantFiled: November 17, 2023Date of Patent: January 21, 2025Assignee: Q (Cue) Ltd.Inventors: Yonatan Wexler, Avi Barliya
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Patent number: 12197487Abstract: The present application provides a database generation method and apparatus, an electronic device and a medium. The method includes: acquiring an image of a Chinese character, determining, based on the image of the Chinese character, elementary components contained in the Chinese character and positions of the elementary components in the image of the Chinese character; determining position codes corresponding to the positions of the elementary components; and storing the elementary components and the corresponding position codes thereof in a corresponding manner to obtain a component library of a database. Thus, the difficulty of generating the database is reduced.Type: GrantFiled: January 28, 2022Date of Patent: January 14, 2025Inventor: John Chu
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Patent number: 12197883Abstract: Provided is a method for augmented reality-based image translation performed by one or more processors, which includes storing a plurality of frames representing a video captured by a camera, extracting a first frame that satisfies a predetermined criterion from the stored plurality of frames, translating a first language sentence (or group of words) included in the first frame into a second language sentence (or group of words), determining a translation region including the second language sentence (or group of words) included in the first frame, and rendering the translation region in a second frame.Type: GrantFiled: October 13, 2022Date of Patent: January 14, 2025Assignee: NAVER CORPORATIONInventors: Chankyu Choi, Seungjae Kim, Juhyeok Mun, Jeong Tae Lee, Youngbin Ro
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Patent number: 12197920Abstract: Embodiments of a system and a method for classifying blocks of text at varying, possibly simultaneous, and possibly interacting levels of scope (e.g., sentence, paragraph, section, document) are disclosed. A system includes a processor coupled to: a data reader to receive an input comprising of a data stream, and convert the data stream into one or more logical data blocks of varying scopes. The system includes a dependency tree generator to create a dependency tree to define the scope and dependencies of each of a plurality of natural language processors (NL Processors) with respect to each other such that the dependency tree identifies when an input of a NL Processor (depender) depends on an output of another NL Processor (dependee). Each NL Processor is configured based on a type of at least one logical data block of the one or more logical blocks to which it applies.Type: GrantFiled: October 31, 2022Date of Patent: January 14, 2025Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Esteban Alberto Alvarado Solano, Paul Edward Nelson, Mark David Stanger
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Patent number: 12190076Abstract: A source content routing system is described for distributing source content received from clients such as documents, to translators for performing translation services on the source content. The routing system extracts source content features, which may be represented as vectors. The vectors may be assembled into an input matrix, which may be processed using an artificial neural network, classifier, perceptron, CRF model, and/or the like, to select a translator such as a machine translation system and/or human. The translator provides translation services translation from a source language to a target language, post translation editing, proof reading, quality analysis of a machine, quality analysis of human translation, and/or the like and returns the product to the content routing system or clients.Type: GrantFiled: June 7, 2023Date of Patent: January 7, 2025Assignee: SDL Inc.Inventors: Mihai Vlad, Abdessamad Echihabi
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Patent number: 12190073Abstract: To easily construct a translation model environment in which the sentences of a plurality of second languages corresponding to a sentence of a first language can be generated. An internal state changing device 1 includes a change unit 13 configured to change an internal state that is a final hidden state of an encoder, in a translation model that is a learned model constituted by an encoder-decoder model, as the translation model for translating an original sentence that is a sentence of a first language into a translated sentence that is a sentence of a second language.Type: GrantFiled: December 27, 2019Date of Patent: January 7, 2025Assignee: NTT DOCOMO, INC.Inventors: Atsuki Sawayama, Hosei Matsuoka
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Patent number: 12164868Abstract: There is provided a computer-implemented method for ensuring that a large language model (LLM) generates original text, including (i) providing or accessing a database of previous text that the LLM should not generate, wherein the database includes text used to train the LLM; (ii) checking potential continuations generated by the LLM against the database; (iii) when a potential continuation generated by the LLM matches text in the database, adjusting the potential continuation generated by the LLM to no longer match that text in the database, to produce an adjusted potential continuation, and (iv) storing the adjusted potential continuation.Type: GrantFiled: April 29, 2024Date of Patent: December 10, 2024Assignee: UNLIKELY ARTIFICIAL INTELLIGENCE LIMITEDInventors: William Tunstall-Pedoe, Robert Heywood, Seth Warren, Paul Benn, Duncan Reynolds, Ayush Shah, Luci Krnic, Ziyi Zhu
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Patent number: 12159121Abstract: An electronic device is provided. The electronic device includes an input unit configured to receive a voice or text, an output unit, and a processor. The processor is configured to determine context information, translate the received voice or text based on the context information, convert the translated voice or text, and output the converted voice or text using the output unit.Type: GrantFiled: May 21, 2021Date of Patent: December 3, 2024Assignee: Samsung Electronics Co., Ltd.Inventors: Sangmin Park, Yoonju Lee, Gajin Song, Jaeyung Yeo
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Patent number: 12135949Abstract: Systems and methods for evaluating a pre-trained artificial intelligence (AI) model using layered prompts. The system obtains a set of application domains in which the AI model will be used, and a set of guidelines that define one or more operational boundaries of the AI model. The system determines a set of layers, where each layer is associated with corresponding guidelines and mapped to a set of variables and benchmarks. Each variable represents an attribute within the guidelines and each benchmark indicates the degree of satisfaction of the AI model with the guidelines. The AI model is dynamically evaluated against these benchmarks using a series of assessments. Subsequent assessments are dynamically constructed based on the outcomes of previous assessments. Scores are assigned to the AI model for each layer by comparing the expected and actual responses. The results are then displayed in a graphical user interface (GUI).Type: GrantFiled: June 28, 2024Date of Patent: November 5, 2024Inventors: William Franklin Cameron, Miriam Silver, Manjit Rajaretnam
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Patent number: 12131586Abstract: Communication systems, methods, and non-transitory machine-readable storage media are disclosed herein. A communication system may include a communication device configured to receive a video stream including sign language content and any content indicators associated with the video stream during a real-time communication session within a single communication device or between a plurality of communication devices. The communication system may also include a translation engine configured to automatically translate the sign language content into word content during the real-time communication session without assistance of a human sign language interpreter. Further, the communication system may be configured to output the word content translation to a communication device during the real-time communication session.Type: GrantFiled: April 9, 2021Date of Patent: October 29, 2024Assignee: Sorenson IP Holdings, LLCInventors: John Carlock, Conrad Maxwell
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Patent number: 12118593Abstract: A device, system and method for processing images that include amounts is provided. A receipt image is received at a controller of a computing device. The receipt image is rendered, at a display screen, the receipt image comprising a total amount region including a total amount of expenses in the receipt image. A total amount field, including a submission total amount associated with the total amount, is rendered at the display screen adjacent the receipt image. A link between the total amount region and the total amount field is rendered at the display screen, at the total amount region of the receipt image. Input is received confirming the submission total amount, via an actuatable option rendered at the display screen in association with the total amount field. The submission total amount is transmitted, via a communication interface, to an expense management system.Type: GrantFiled: July 23, 2020Date of Patent: October 15, 2024Assignee: AMADEUS S.A.S.Inventors: Jean Pierre Boutherin, Jose Da Cruz, Nicolas Guillon
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Patent number: 12112140Abstract: An electronic device includes a memory storing at least one instruction, and a processor configured to execute the at least one instruction to: input a first text into a first neural network model and acquire a first translation text; input the first translation text into a second neural network model and acquire a first liberal translation text; identify whether the first liberal translation text is to be outputted based on the first text and the first liberal translation text; output the first liberal translation text according to the identification result; based on a second text being received subsequently to the first text, input the first and second texts into the first neural network model and acquire a second translation text; and input the identification result and the second translation text into the second neural network model and acquire a second liberal translation text corresponding to the second translation text.Type: GrantFiled: February 7, 2022Date of Patent: October 8, 2024Assignee: SAMSUNG ELECTRONICS CO., LTD.Inventors: Beomseok Lee, Hyojung Han, Sathish Indurthi, Mohd Abbas Zaidi, Nikhil Kumar
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Patent number: 12093660Abstract: A server accesses a natural language query. The server facilitates a mapping of the natural language query to a vector using a query-to-vector engine. The server matches the vector to an intent representing a prediction associated with the natural language query. The server provides a response to the natural language query based on the intent.Type: GrantFiled: June 5, 2023Date of Patent: September 17, 2024Assignee: Zoom Video Communications, Inc.Inventors: Justin Bryce Betteridge, Connor Isaac Brinton, Samuel John Wenke
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Patent number: 12087322Abstract: A method for providing sentiment analysis of a natural language service request to automatically identify and map a user state of mind by utilizing artificial intelligence is disclosed. The method includes receiving, via a graphical user interface, a raw input, the raw input including a computer file corresponding to a natural language request; parsing the raw input into component parts; annotating, by using a model, each of the component parts with a predetermined indicator, the predetermined indicator corresponding to the user state of mind; mapping, by using the model, the component parts based on the predetermined indicator; compiling the mapped component parts into a structured input, and determining, by using the model, a quality that corresponds to the structured input.Type: GrantFiled: April 8, 2021Date of Patent: September 10, 2024Assignee: JPMORGAN CHASE BANK, N.A.Inventors: Eugene Mariotti, Kevin J McNamara
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Patent number: 12086560Abstract: Implementations of the disclosure provide a method, system and computer program product for model localization. In an implementation of the disclosure, a method for model localization includes parsing a model to identify translatable terms, generating a seed file associating each of the translatable terms with a corresponding tag and replacing each translatable term in the model with a corresponding tag and submitting each of the translatable terms to machine translation for a target language to produce a different translation file mapping each tag from the seed file with a translated term in the target language of a corresponding one of the translatable terms. Then, the model may be deployed in a data analytics application using the different translation file to dynamically translate each translatable term into a corresponding translated term within a user interface to the data analytics application.Type: GrantFiled: May 18, 2022Date of Patent: September 10, 2024Assignee: Google LLCInventors: Andrew Leahy, Steven Talbot
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Patent number: 12073189Abstract: Systems and methods for automatic evaluation of the quality of NLG outputs. In some aspects of the technology, a learned evaluation model may be pretrained first using NLG model pretraining tasks, and then with further pretraining tasks using automatically generated synthetic sentence pairs. In some cases, following pretraining, the evaluation model may be further fine-tuned using a set of human-graded sentence pairs, so that it learns to approximate the grades allocated by the human evaluators. In some cases, following fine-tuning, the learned evaluation model may be distilled into a student model.Type: GrantFiled: June 2, 2023Date of Patent: August 27, 2024Assignee: Google LLCInventors: Thibault Sellam, Dipanjan Das, Ankur Parikh
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Patent number: 12074720Abstract: In some aspects, a computing device may access audio information comprising an audio stream from a client device. The computing device may provide an audio segment from the audio stream to a language identification process of the computing device comprising a machine learning model that is trained to identify a language of a plurality of languages within recorded speech. The computing device may identify an identified-language of the plurality of languages for the speech based at least in part on the audio segment. The computing device may provide the identified-language to the client device. Numerous other aspects are described.Type: GrantFiled: April 29, 2022Date of Patent: August 27, 2024Assignee: Zoom Video Communications, Inc.Inventors: Awni Yusuf Hannun, Sebastian Stüker
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Patent number: 12067362Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.Type: GrantFiled: April 17, 2023Date of Patent: August 20, 2024Assignee: UNLIKELY ARTIFICIAL INTELLIGENCE LIMITEDInventors: William Tunstall-Pedoe, Robert Heywood, Seth Warren, Paul Benn, Duncan Reynolds, Ayush Shah, Luci Krnic, Ziyi Zhu
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Patent number: 12019997Abstract: Provided is a method of training a real-time simultaneous interpretation model based on external alignment information, the method including: receiving a bilingual corpus having a source language sentence as an input text and a target language sentence as an output text; generating alignment information corresponding to words or tokens (hereinafter, words) in the bilingual corpus; determining a second action following a first action in the simultaneous interpretation model on the basis of the alignment information to generate action sequence information; and training the simultaneous interpretation model on the basis of the bilingual corpus and the action sequence information, wherein the first action and the second action represent a read action of reading the word in the input text or a write action of outputting an intermediate interpretation result corresponding to the read action performed up to a present.Type: GrantFiled: September 24, 2021Date of Patent: June 25, 2024Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTEInventor: Young Ae Seo
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Patent number: 12008304Abstract: In some embodiments, a method can include generating a resume document image having a standardized format, based on a resume document having a set of paragraphs. The method can further include executing a statistical model to generate an annotated resume document image from the resume document image. The annotated resume document image can indicate a bounding box and a paragraph type, for a paragraph from a set of paragraphs of the annotated resume document image. The method can further include identifying a block of text in the resume document corresponding to the paragraph of the annotated resume document image. The method can further include extracting the block of text from the resume document and associating the paragraph type to the block of text.Type: GrantFiled: May 6, 2022Date of Patent: June 11, 2024Assignee: iCIMS, Inc.Inventors: Eoin O'Gorman, Adrian Mihai
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Patent number: 12008318Abstract: Exemplary embodiments relate to the automatic generation of captions for visual media, including photos, photo albums, non-live video, and live video. The visual media may be analyzed to determine contextual information (such as location information, people and objects in the video, time, etc.). A system may integrate this information with information from the user's social network and a personalized language model built using public-facing language from the user. The personalized language model captures the user's way of speaking to make the generated captions more detailed and personalized. The language model may account for the context in which the video was generated. The captions maybe used to simplify and encourage content generation, and may also be used to index visual media, rank the media, and recommend the media to users likely to engage with the media.Type: GrantFiled: October 13, 2020Date of Patent: June 11, 2024Assignee: META PLATFORMS, INC.Inventors: Ying Zhang, Shengbo Guo
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Patent number: 12001437Abstract: Methods and systems for generating and using a semantic index are provided. In some examples, content data is received. The content data includes a plurality of subsets of content data. Each of the plurality of subsets of content data are labelled, based on a semantic context corresponding to the content data. The plurality of subsets of content data and their corresponding labels are stored. The plurality of subsets of content data are grouped, based on their labels, thereby generating one or more groups of subsets of content data. Further, a computing device is adapted to perform an action, based on the one or more groups of subsets of content data.Type: GrantFiled: September 26, 2022Date of Patent: June 4, 2024Assignee: Microsoft Technology Licensing, LLCInventors: Eric Chris Wolfgang Sommerlade, Vivek Pradeep, Steven N. Bathiche, Nathan Luquetta-Fish
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Patent number: 11995416Abstract: A translation device comprises: a memory that stores first dictionary information including a replacement target term in a first language and a translated word in a second language for the replacement target term in association with each other, and second dictionary information including an alternative term instead of the replacement target term; a controller that replaces the replacement target term included in an input sentence with the alternative term to generate a replaced sentence; and a communication interface that outputs the replaced sentence to an external device and acquires a translation result of the replaced sentence in the second language from the external device. The controller detects a specific character string in the translation result of the replaced sentence acquired from the communication interface, and replaces the detected character string with a translated word associated with the replacement target term in the first dictionary information, to generate a translated sentence.Type: GrantFiled: December 2, 2021Date of Patent: May 28, 2024Assignee: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.Inventor: Tomokazu Ishikawa
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Patent number: 11995415Abstract: A machine translation method includes: receiving a sentence, the sentence including a plurality of words; calling a machine translation model obtained through training, the machine translation model including a partitioning model and a translation model; partitioning the sentence based on the partitioning model and according to word vectors of the words, to obtain to-be-translated blocks, each to-be-translated block including at least one of the words; and translating the sentence based on the translation model and the to-be-translated blocks, to obtain a translation result.Type: GrantFiled: August 16, 2021Date of Patent: May 28, 2024Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITEDInventor: Jun Xie
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Patent number: 11984113Abstract: Method and server for training an Attention-based Neural Network (ANN) to generate a textual output sequence being a content summary to be used as a response to a query. The ANN has an encoder and a decoder sub-network. The method includes, (i) inputting a query and input sequence into the encoder sub-network where the input sequence is a sequence of input groups associated with corresponding content snippets, (ii) generating an encoded representation of the input sequence, which includes generating attention-type outputs for respective words from the input sequence by applying an attention-limiting mask configured to attend only to words from the given input group, (iii) generating a decoded representation being a predicted textual output sequence, (iv) generating a penalty and (iii) adjusting the ANN based on the penalty score.Type: GrantFiled: September 30, 2021Date of Patent: May 14, 2024Assignee: Direct Cursus Technology L.L.CInventors: Aleksei Sergeevich Petrov, Sergey Dmitrievich Gubanov, Sergey Aleksandrovich Gaydaenko
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Patent number: 11983296Abstract: Method, system and product for performing private and non-private tasks in Augmented Reality (AR) systems. A privacy policy of a user using an AR device is obtained. A frame sensor is utilized to obtain frames for processing. An overlay display for the frame is generated. The overlay display is generated based on an execution of a non-private task on a non-trusted device and based on an execution of a private task on a trusted device. The private task and the non-private task are determined based on the privacy policy. The overlay display is displayed by an AR device.Type: GrantFiled: April 24, 2022Date of Patent: May 14, 2024Assignee: SHMUEL UR INNOVATION LTDInventors: Ziv Glazberg, Shmuel Ur
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Patent number: 11983506Abstract: Provided is a method of performing hybrid translation using a general-purpose neural network machine translator by a device, including: (a) receiving an original document configured of a first language from a user terminal; (b) determining a field of the original document by comparing the original document with a standard document for each field stored in a database; (c) generating a primary translation configured of a second language for the original document by using the general-purpose neural network machine translator; and (d) converting some expressions included in the primary translation into expressions in another second language with reference to a professional translation dictionary for the determined field to generate a secondary translation, wherein the expression includes any one of a word, a phrase, and a sentence.Type: GrantFiled: August 24, 2021Date of Patent: May 14, 2024Assignee: TWIG FARM CO., LTD.Inventors: Sun Ho Baek, Chul Ho Baek