132 results about "Translation service" patented technology

Embodiments of the present disclosure may include a method for a smart sign language translation service with a visual assistant with artificial intelligence.

Video relay services, communication systems, non-transitory machine-readable storage media, and methods are disclosed herein. A video relay service may include at least one server configured to receive a video stream including sign language content from a video communication device during a real-time communication session. The server may also be configured to automatically translate the sign language content into a verbal language translation during the real-time communication session without assistance of a human sign language interpreter. Further, the server may be configured to transmit the verbal language translation during the real-time communication session.

Video relay services, communication systems, non-transitory machine-readable storage media, and methods are disclosed herein. A video relay service may include at least one server configured to receive a video stream including sign language content from a video communication device during a real-time communication session. The server may also be configured to automatically translate the sign language content into a verbal language translation during the real-time communication session without assistance of a human sign language interpreter. Further, the server may be configured to transmit the verbal language translation during the real-time communication session.

The invention provides a front-end general multi-language switching method, device and equipment and a medium, and the method is based on a frame-independent post-processing principle, translating logic is executed in the last stage of a construction process, and JavaScript codes compiled by various front-end frames are directly processed. The method comprises the following steps: identifying a to-be-translated text based on AST analysis in a compiling stage by constructing a tool plug-in; generating a unique hash identifier for the text and replacing the unique hash identifier with a translation function call; integrating a plurality of third-party translation services to realize batch automatic translation; and generating a language package mapping table, and providing a global t translation function to realize language switching during operation. The method acts on an ending link of a construction process through configuration, and realizes non-inductive support for any front-end technology stacks such as Vue, React, pure JS and the like. The method is suitable for front-end project multi-language reconstruction of medium and large projects, and the development and maintenance efficiency of multi-language projects is greatly improved.

Instead of using address translation cache (ATC) to translate addresses for host queues, bypass the ATC and directly use translated addresses. When creating the submission queues (SQ) or completion queues (CQ), the controller receives the untranslated addresses from the host, and the device is responsible for translating the untranslated addresses before accessing the host queues. The host queue pointers will directly use the translated addresses while bypassing the ATC. When bypassing the ATC, different flows can be used such as create queue command flow and invalidate operations. In a create queue command flow, the firmware (FW) performs address translation by interacting with a translation agent (TA) to receive the translated addresses. With an invalidate flow, the controller scans all untranslated addresses provided by the host at the queue creation time and compares the untranslated addresses against the invalidated address.

The invention relates to the technical field of scenic spot explanation systems, in particular to an intelligent tour guide robot and AR scenic spot explanation system, and the system comprises a cloud server side which comprises a scenic spot 3D model database, an augmented reality resource package database, a deep learning semantic understanding service module and a multi-language text translation service module; the intelligent tour guide terminal comprises an intelligent tour guide robot, and the robot is provided with a walking mechanism, a voice recognition module, a voice synthesis module, a natural language processing module and a human-computer interaction interface; the AR glasses terminal comprises AR glasses, and the glasses are provided with a camera, a display screen, a processor, a memory and a communication module; through the combination of deep learning semantic understanding and neural machine translation, the accuracy of cross-language communication is improved, and the ability of the system to understand the cultural background is enhanced. The AR technology and the knowledge graph are fused, so that unprecedented knowledge visualization experience is created, and abstract historical and cultural knowledge becomes vivid and perceptible.

A peripheral device includes a bus interface and an Address Translation Service (ATS) controller. The bus interface is to communicate over a peripheral bus. The ATS controller is to communicate over the peripheral bus, including sending address translation requests and receiving address translations in response to the address translation requests, to cache at least some of the address translations in one or more Address Translation Caches (ATCs), to estimate one or more statistical properties of the received address translations, and to configure the one or more ATCs based on the one or more statistical properties.

A computer-implemented method and a smart-learning and knowledge retrieval system (SLKRS) are provided for imparting adaptive and personalized e-learning based on continually artificially learned unique characteristics of a knowledge seeker. A chatbot platform with a chatbot interface provides for interaction between the knowledge seeker, a parent, a teacher, or another stakeholder. The chatbot platform allows multiple channels of engagement. The chatbot platform provides translation services comprising text to speech and speech to text service. The chatbot platform integrates third-party services into its responses to the user and queries from the user through the integration module. The chatbot platform performs pattern recognition and checks simplified and rephrased questions against a knowledge base. The chatbot platform uses conversation audits to train artificial intelligence and machine learning algorithms, to generate an appropriate response to the query of the knowledge seeker.

Address translation service management techniques are described. These techniques are based on metadata that may be used to provide a prompt as an insight to memory access, and based thereon, optimize the use of a translation lookaside buffer to control which entries are maintained in a queue and manage address translation requests.

The present disclosure relates to a device-side artificial intelligence (AI) apparatus for providing a multi-party translation service and a method thereof. A device-side artificial intelligence (AI) apparatus capable of translating conversations between a plurality of speakers in real time and a method thereof are provided. The AI device may include: an input module into which utterance speech of a speaker is input; and a processor configured to perform AI processing to translate utterance speech of a speaker into a target language, where the processor is configured to, when utterance speech is input from a plurality of speakers, pre-process the utterance speech, classify the pre-processed utterance speech by speaker, and, when a particular speaker is selected from the plurality of speakers, convert the pre-processed utterance speech into a target language. And extracting an utterance speech of the selected specific speaker from the utterance speech classified by the speaker, and translating the utterance speech of the specific speaker into a target language and outputting the target language.

The invention discloses a multifunctional earphone storage box and a dual-mode audio system, and belongs to the technical field of intelligent software and hardware equipment.The multifunctional earphone storage box comprises a device product, an array microphone, a built-in banded loudspeaker, an earphone cabin cover, a TWS wireless Bluetooth earphone, a Type-c usb charging port, a liquid crystal display panel and a multifunctional button. According to the mobile phone, the text conversion and translation service is supported, the translated and translated text content can be edited and modified, a user can conveniently manage and utilize recording data, the mobile phone APP supports voiceprint information management, a speaker can be created, modified and deleted, and the mobile phone APP is convenient to use, high in practicability and high in practicability. And meanwhile, a large model conference summary capability is requested from a server, summary summarization and to-be-processed extraction are realized, conference efficiency is improved, the system can be used as a mobile phone loudspeaker and an external microphone after Bluetooth audio connection, and the system is suitable for a remote conference scene and is not limited by third-party conference software or a teleconference.

The invention discloses an operating system containerized kernel compatibility method based on mixed binary translation, which comprises the following steps of: constructing a container kernel data structure feature library containing field access frequency through static source code analysis and dynamic runtime tracking, generating a unique identifier consisting of a structure name and a high-frequency field offset sequence for a target structure, and generating a container kernel data structure feature library containing field access frequency; establishing an association graph between the system call and the target field; in a host machine, a static translation service is adopted to decompile a binary code of a container application, instrumentation is performed on a high-frequency site and a low-frequency site respectively, and an intermediate operation code sequence containing an operation code, a field name and double-end offset is pre-generated for the high-frequency site and stored in a cache; during operation, a pre-translation result is preferentially loaded from the cache for a high-frequency site, the pre-translation result is processed by the dynamic translation engine if the pre-translation result is not hit, and the pre-translation result is processed by the dynamic translation engine as required for a low-frequency site, so that efficient conversion combining field-level static preprocessing and on-demand dynamic conversion is realized.

Embodiments of the present disclosure include techniques for enabling software code for different languages. In one embodiment, a user creates a prompt. The prompt may be to generate new code or modify existing code. The prompt may be automatically modified to include one or more instructions to extract code elements from source code and the code elements may be translated. In some embodiments, translation services are incorporated into and IDE or build environment as a plugin.

In various embodiments, a computer-implemented language identification and communication system is provided. The system includes an application engine configured for processing data associated with multiple access devices of a population of users who are users seeking human language translation services and users providing human language translation services. A geolocation module is provided for locating a position of various users, such as the different locations of human language translators. The application engine is further programmed for receiving translator selections from user access devices and establishing communication connections between or among different user access devices.

The invention relates to a kernel mode parallel file system based on a secure container and an implementation method of the kernel mode parallel file system. The system comprises a computing service cluster, a Lustre service cluster, a VIP mapping service component, a cluster planning service component, a high-availability architecture component, a VIP server component and a block storage cluster. The high-availability architecture component realizes high availability of Lustre service through a master-slave service architecture, and the VIP server component simplifies high-availability configuration of Lustre and provides translation service from a VIP to a back-end server IP address. The block storage cluster includes a plurality of object storage targets, each object storage target being associated with a storage engine for providing a data storage service. The system has the advantages of high availability, easy expansibility, support of hot upgrade and rapid fault recovery, low resource consumption and simple maintenance, is seamlessly integrated with a cloud native ecosystem, and improves the efficiency, reliability and usability of infrastructure support in artificial intelligence and high-performance computing scenes.

The invention discloses a real-time translation interaction method, system and device based on a double-sided screen device, and the method comprises the steps: translating source language content displayed on a main screen into a target language in real time through a translation server, and then displaying the target language on the main screen, an auxiliary screen or a projection screen; monitoring a control instruction based on the main screen and the auxiliary screen in real time, and synchronously displaying the control content displayed on one screen for the control object in a corresponding area of the same control object on the other screen; according to a trigger request of the voice translation touch button, a voice signal is obtained and translated in real time to obtain target language content, and the target language content is converted into voice through a TTS voice engine and played; a signal source direction is determined by using a time delay estimation algorithm, and environmental noise compensation is carried out by using an adaptive noise compensation algorithm. According to the technical scheme, flexible and convenient multi-mode translation interaction display is realized, the translation communication efficiency is remarkably improved, and the translation interaction experience in a complex scene is improved.

Embodiments of the present application relate to the technical field of communication, and provide a communication method, related devices and storage media. The method comprises: receiving an address translation service (ATS) request from an endpoint (EP). Querying an address translation protection table (ATPT) according to an input / output virtual address (IOVA) to be translated. If the HPA corresponding to the IOVA to be translated does not exist in the ATPT, sending a page scheduling request to a central processing unit (CPU), the page scheduling request being used to instruct the CPU to allocate an HPA for the IOVA to be translated. Querying the ATPT according to the IOVA to be translated again to obtain the HPA corresponding to the IOVA to be translated. Sending an ATS response to the EP. In the embodiments of the present application, when the RC receives the ATS request initiated by the EP and does not query the valid mapping of the IOVA, the RC does not send a failure response to the EP, but triggers the CPU to perform page scheduling, loads the required page from the external storage and updates the page table mapping. The EP can receive a successful response and obtain the HPA mapped by the IOVA, implement address access, thereby reducing the number of interactions with the RC, saving the process, reducing the delay, and improving the address translation efficiency.

Methods, a system, and a device are provided to allow co-watch devices to coordinate text interpretation services while co-watching a video or live event. A server receives an indication that a first co-watch device and a second co-watch device are preparing to co-watch a video or a live event while displaying a text interpretation of a speech component of the video or live event. An indication is sent to a first device of the first and second co-watch devices to operate as a text-processing device, generating the text interpretation, and transmitting the text interpretation to a second device of the first and second co-watch devices. The first device receives a portion of a video, processes a speech component of the portion of the video to generate a text interpretation, and sends the text interpretation to a second device.

The invention provides a method and equipment for displaying digital human sign languages. The method can be applied to a first device, and the method can comprise the steps that first audio data are acquired, and the first audio data comprise audio data of human voice; sending the first audio data to a second device; receiving a first action parameter sequence of the digital human sign language sent by the second equipment; the first action parameter sequence is rendered according to the display speed, a multi-frame image of the digital sign language is obtained, the display speed is related to the completion time of rendering a second action parameter sequence corresponding to second audio data by the first device, and the second audio data is audio data of human voice obtained before the first device obtains the first audio data. In the technical scheme, the device can generate the digital human sign language actions in real time according to the human voice when the user watches a video or a television program, and plays the digital human sign language actions in real time, so as to provide sign language translation service for the hearing impaired user in real time.

The application discloses a privacy protection heterogeneous federated learning method and system based on image translation, which are corresponding solutions, in the solutions: a generated model with local user data semantic retention capability is optimized through an image translation server, a local user performs data enhancement on a local heterogeneous data set by using the generated model, so that the local data presents a state of uniform distribution of class labels, and a classification model of the local user is trained by using transformed data and enhanced data, so that the global model accuracy and the privacy protection capability are balanced. Moreover, there is no interaction between the image translation server and the data classification server, and the image translation server is in a trusted computing environment, so that the privacy protection capability is ensured.

The disclosed technology includes a voicemail translation service of a telecommunications network. The voicemail translation service can receive a voicemail message communicated from a calling party to a called party. The voicemail translation service calls an application programming interface (API) to upload the voicemail message to a transcription service, which completes transcription of the voicemail message in a default language. In response to determining that the default language of the completed transcription does not match a target language of the called party, the voicemail translation service triggers another API to generate a translation of the transcription in accordance with the target language. The voicemail translation service then stores the translated transcription in a voicemail storage system that is accessible by the called party.

The present invention provides a method of an electronic device, the method comprising the operations of: in order to display, using a display, a first user interface (UI) of a first application for a voice over Internet protocol (VoIP) call with another electronic device performed using a communication circuit, executing the first application; on the basis of an indication for establishing the VoIP call, displaying, together with the first UI and using the display, a UI object which receives an input for performing a translation service during the VoIP call with the other electronic device; receiving an input for the UI object; and displaying, together with the first UI and using the display, a second UI of a second application for the translation service on the basis of the input.

Technology is described for adding inserted message data into machine learning modified communications. The method can include receiving message data from a sender to be sent to a recipient. Another operation may be estimating a conversion time to convert the message data to a second language that is different than a language of the sender, using a machine learning translation service. A message insert may be provided or identified that approximates the conversion time. The message insert to be reproduced for the recipient may be sent. The message data may be sent to the recipient as converted to the second language.

The invention relates to the technical field of translation, and discloses a translation system and method and a wearable device, and the translation system comprises a mobile terminal and the wearable device; the mobile terminal comprises application software, a load balancing server and a translation server cluster, and the translation server cluster comprises a plurality of translation servers; the wearable device is used for collecting voice data, processing the voice data and then sending the voice data to the mobile terminal; the mobile terminal is used for translating the voice data after data processing to obtain a translation result and feeding back the translation result to the wearable device, and the load balancing server is used for translating the voice data according to a plurality of translation tasks generated by the application software and the device state of each translation server. And determining to issue each translation task to the corresponding translation server to execute the translation task. The translation system can ensure the translation accuracy, improve the translation efficiency and the translation response speed, and meet the requirements of users in various complex language communication scenes.

The application provides a translation system and a method and device for calling a translation service, multiple basic translation function modules can be created to meet various complex translation requirements in multiple scenes and multiple fields, cloud-native container management and scheduling capabilities are combined on this basis, distributed containerized automatic deployment of various translation function modules in the translation system is realized, whole translation service on the cloud can be quickly and continuously delivered and dynamically expanded, service deployment cost and time are reduced, iteration efficiency is accelerated, and product update cycle is shortened.

An electronic device according to an embodiment disclosed in the present document may comprise: one or more microphones; a communication circuit; at least one processor; and a memory for storing instructions. The instructions may be executed by the at least one processor to cause the electronic device to: acquire a first audio signal including speech data of a first language from the one or more microphones while a call with an external electronic device is established; acquire a second audio signal in which the speech data of the first language is translated into a second language designated by a user; identify speech characteristics of the first audio signal on the basis of frequency analysis of the speech data; determine configuration information related to an output of the first audio signal or the second audio signal on the basis of the speech characteristics; and transmit the first audio signal and the second audio signal to the external electronic device by using the communication circuit on the basis of the determined configuration information. Various other embodiments identified by the present document are possible.

Systems, apparatuses, and methods for determining data placement based on packet metadata are disclosed. A system includes a traffic analyzer that determines data placement across connected devices based on observed values of the metadata fields in actively exchanged packets across a plurality of protocol types. In one implementation, the protocol that is supported by the system is the compute express link (CXL) protocol. The traffic analyzer performs various actions in response to events observed in a packet stream that match items from a pre-configured list. Data movement is handled underneath the software applications by changing the virtual-to-physical address translation once the data movement is completed. After the data movement is finished, threads will pull in the new host physical address into their translation lookaside buffers (TLBs) via a page table walker or via an address translation service (ATS) request.

The invention provides a continuously improved corpus problem classification method, and belongs to the technical field of information processing and corpus construction. The method is realized based on a cluster and comprises the following steps: judging whether the electronic equipment generates parallel corpora or not, verifying the electronic equipment by adopting a verification equipment set, performing pre-submission operation on each parallel corpus stored in a pre-submission corpus, and updating a standard corpus according to a feedback result of the pre-submission operation. The updating comprises the steps of carrying out reclassification on parallel corpora of the standard corpus according to source corpora or target corpora and the like. The cluster is a translation server cluster or a question and answer server cluster. According to the technical scheme, the constructed corpus information can be continuously improved and updated, and corpus input errors caused by subjective deviation accumulation of individual users or devices can be effectively avoided in the updating process; in addition, the updating process is based on a distributed transaction processing mechanism, and the consistency of standards is ensured.

The invention discloses a method and system for improving the voice inter-translation quality of a small language based on a large language model, and belongs to the technical field of intelligent voice translation services. The method comprises the following steps of language information input, speech detection and acquisition, semantic feature and acoustic feature extraction, automatic speech recognition (ASR) model recognition, large language model (LLM) translation and error correction, multi-modal speech synthesis (TTS) model fusion and target language speech signal output. The system comprises the following modules: a language information input module, a voice detection and acquisition module, a voice coding module, an automatic voice recognition module, a large language model translation and error correction module, a multi-modal voice synthesis module and a voice output module. According to the method, the accuracy and the naturalness of the voice inter-translation of the minority language can be remarkably improved, the method adapts to the characteristics of the multi-language minority language of the East Alliance, the industrial-grade application requirements are met, and the problems of low recognition accuracy and acoustic feature loss of the voice inter-translation of the minority language are solved.

To eliminate stress caused by slow response in translation services.SOLUTION: A system for translation services utilizing a next-generation digital infrastructure. In order to eliminate slow response that causes stress, excluding the accuracy of translation, the system includes communication means that has extremely low latency and translation means that includes natural language processing AI.SELECTED DRAWING: Figure 1