20 results about "Translation system" patented technology

The application relates to a frictional electric self-power supply fault detection platform and method of a screw ball reducer, and belongs to the field of reducer performance testing. The detection system is placed on the ground and is in communication connection with a signal output system, the reducer, the signal output system, a translation system and a rotation system are respectively placed on support tables of a support system, the reducer is connected between the translation system and the rotation system, the rotation of the rotation system drives the rotation of the reducer, transmission is realized through a shaft coupling, and is transmitted to the translation system. Advantages are that: the integrated synchronous detection of the dynamic performance and the fault state of the reducer is realized; the high-fidelity transmission of the rotating end signal is ensured through the conductive slip ring and the double-path signal acquisition; real-time waveform display and synchronous recording of key parameters are supported, the test precision is high, the anti-interference capability is strong, and the screw ball reducer can be widely applied to performance verification and reliability testing of screw ball reducers in the fields of industrial robot joints, balance cars and the like.

The Abstract of the Disclosure is provided to allow the reader to quickly ascertain the nature of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. In addition, in the foregoing Detailed Description, it can be seen that various features are grouped together in various examples for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claims require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed example. Thus, the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separately claimed subject matter.

The application discloses a picture-text recognition and translation system based on semantic recognition, which comprises a document analysis module, an image local text recognition module, a context perception module, a translation instruction generation module and a picture-text reorganization module; the document analysis module can separate original picture-text mixed arrangement documents into continuous text sets and image region sets; the image local text recognition module can obtain local text segments and determine basic semantic vectors by processing the image region sets; the context perception module can calculate the semantic correlation degree S of the basic semantic vectors and each paragraph vector; the translation instruction generation module can generate translation input sequences; and the picture-text reorganization module can generate translated image sets through the visual attributes and position information of original image regions, and then obtain bilingual translation documents. The application can make full use of complete semantic contexts provided by document main texts by the context perception module to realize the translation of image local texts.

An expansion dock for a translation device, and a control method and a translation system, which belong to the field of translation devices. The expansion dock for a translation device comprises: a communication module, which is in wireless communication connection with a plurality of translation devices, receives, on the basis of a wireless communication connection, first information to be translated that is sent by any translation device, and sends translated second information to the other translation devices, wherein the language types of the second information correspond to the other translation devices, and the language types of the second information comprise at least one language type which is different from that of the first information; and a control module, which is used for receiving the first information transmitted by the communication module, translating the first information into the second information, and sending the second information to the other translation devices by means of the communication module.

The application relates to a bidirectional real-time translation system, equipment and method based on exclusive voiceprints and hardware identity, which comprises target individual special real-time translation equipment, human special real-time translation equipment, a mobile terminal APP and a cloud service system. The target individual special real-time translation equipment is internally provided with an unalterable identity recognition ID hardware, and locally stores a voiceprint feature white list library only for a single target individual (including pets, babies, speechless and disabled double obstacle crowds and the like), which is used for collecting the voice of the individual, translating the voice into a human understandable language in a local offline mode and outputting; the human special equipment locally stores a voiceprint white list of a specified user, which is used for collecting the voice of the user, converting the voice into a signal perceivable by the target individual in a local offline mode and outputting; the APP communicates with the equipment and the cloud, and is used for configuring parameters, uploading samples and receiving model updates. The application is widely applied to the communication scene of pets, babies, speechless and disabled double obstacle crowds and other people.

A speech translation processing apparatus including a speech inputter and a speech outputter operated in cooperation with a wearable speech input / output apparatus worn on a user, includes a translation speech acquirer acquiring translation speech in a user language or the other language that is translated and generated on the basis of a spoken speech in the user language or the other language input through the wearable speech input / output apparatus or the speech inputter, and a translation speech output controller performing control such that the acquired translation speech is output from at least one of the speech outputter and the wearable speech input / output apparatus in an output mode according to a translation condition. According to such a configuration, it is possible to provide a user-friendly translation system.

The present invention provides a speech translation system based on Bluetooth earphones, comprising a first translation Bluetooth earphone, a second translation Bluetooth earphone, a speech signal processing center, and a translation module. The speech signal processing center includes a Fourier transform module, a signal cross-correlation processing module, a determination module, and a gain module. The first and second speech signals collected by the first and second translation Bluetooth earphones, respectively, undergo time-frequency signal processing and signal cross-correlation processing to determine the location of the sound source, and the first and second speech signals are gain-increased for recognition and translation by the translation module. The present invention also provides a speech translation method using Bluetooth earphones. The speech translation system of the present invention solves the problem of inaccurate recognition and translation, improves communication efficiency, and significantly reduces unnecessary speech recognition and translation.

Systems, processes, and device configurations are provided for dynamic chat translation and interactive game control. Methods can include receiving a communication for a user of an electronic game and converting the communication using localization settings and machine learning models for language processing to replace one or more segments of the communication. An updated communication with the replaced segments can be output to provide automatic conversion of information in the user's understanding. By automatically and adaptively outputting speech or text of a game chat and / or game output (e.g., non-player character (NPC) chat), a user can obtain improved understanding. Further, the systems and methods include detecting user reactions (including using eye tracking data) to evaluate the communication conversion and update the processes and models for communication conversion.

The present application belongs to the technical field of artificial intelligence and intelligent wearable devices, and specifically relates to a real-time multi-language speech translation system based on single-screen interaction of earphone compartments, which comprises an overlapping three-stage pipeline architecture combined with dynamic segmented speech processing, a ring-shaped semantic buffer area and a screen refresh synchronization mechanism; the earphone compartment integrates a double-microphone array and a single-color electronic ink screen. Through technical means such as overlapping pipeline processing mechanism, dynamic segmented window adjustment, hardware-level mutual exclusion control, layered reasoning architecture and electronic ink screen local refresh, the real-time multi-language speech translation function with low delay, high fidelity and bidirectional naturalness is realized in the single-screen interaction scene of the earphone compartment, and the synergistic effect of various technical features solves the timing coupling conflict between speech recognition, translation generation and screen rendering, effectively improving the user experience and system energy efficiency.

The application provides a training method and device of a translation model and a storage medium. The method comprises: obtaining a text to be trained, the text to be trained comprising at least a source input sentence and a standard target sentence corresponding to the source input sentence; predicting a target sentence based on the source input sentence by using a translation model to obtain a first predicted target sentence; calculating a confidence probability for each word position in the target sentence based on the standard target sentence and the predicted target sentence; and determining a combination of the standard target sentence and the predicted target sentence as a target sentence input of the translation model based on the confidence probability. The scheduling sampling strategy provided by the application greatly reduces the exposure bias problem of the NMT model, greatly improves the translation quality, and can be used to improve an online translation system.

This invention proposes a translation method and system based on resource sharing, belonging to the field of translation resource scheduling technology. The method includes the following steps: S1: obtaining the resource performance parameters of the translation terminal; S2: determining the resource sharing mode of the virtual machine based on the resource performance parameters of the translation terminal; S3: determining the target virtual machine for the current translation sequence based on the resource sharing mode of the virtual machine and the mode requirements of the current translation sequence; S4: inputting the current translation sequence into the target virtual machine for translation, and outputting a translation result that meets the mode requirements of the current translation sequence. The system includes at least one translation terminal, on which multiple virtual machines run to implement the method. This invention enables real-time matching and scheduling of translation sequences and virtualized translation resources, thereby improving translation efficiency.

This invention relates to a method for optimizing a language-aware routing encoder for a large language model used in multilingual translation, belonging to the field of artificial intelligence technology. It includes: selecting the corresponding encoder based on the language pairs and translation direction of the input data; setting separate encoders for different language pairs and translation directions to generate prefix representations; performing dimensionality transformation on the encoder output and concatenating it with the instruction text and source language text embeddings; receiving the complete input and outputting the translation result; calculating the loss and updating only the encoder's relevant parameters. During training, only the encoder and related modules are updated, thereby achieving effective modeling of the translation characteristics of different language pairs without affecting the original capabilities of the large language model. By introducing a language pair-aware routing and independent encoding mechanism, this invention effectively reduces the risk of language interference and semantic confusion in multilingual translation, improving the stability and overall performance of the multilingual translation system across different language pairs.

A diagnostic translation system for a vehicle includes a telematics device configured to communicate with a backend server via a network, a CAN bus in signal communication with one or more electronic vehicle systems, and a controller having one or more processors and a non-transitory computer-readable storage medium. Diagnostic trouble code (DTC) translation files are preloaded onto the non-transitory computer-readable storage medium. The controller is programmed to request and receive, via the CAN bus, raw DTCs from the one or more electronic vehicle systems, and perform, using the DTC translation files, a local real-time diagnostic translation of the raw DTCs into a human-understandable format.

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.

This invention provides an information processing device, a translation method, and a program that can reproduce and translate the distinctive speech patterns of characters into other languages. [Solution] The manga translation system 10 extracts lines in the first language associated with character profiles that indicate the attributes of the characters from the manga panels, translates the extracted lines from the first language to the second language, and the correction unit corrects the lines translated into the second language so that the language is appropriate to the associated character profile.

Systems and methods for providing a cross-lingual PDF analysis and translation system specifically designed for the energy industry. The cross-lingual PDF analysis and translation system uses various methods (e.g., tag-based or paragraph-based document extraction and mixing) to create a cross-lingual mixed document dataset by modifying HTML files from multilingual web pages. The cross-lingual mixed document dataset is used to retrain a LayoutXLM model, enabling the LayoutXLM model to further build cross-lingual relations by evaluating the model on various form understanding benchmarks.

The application provides a hybrid translation system and method based on an embedded system and edge AI, comprising an embedded proxy server module, an edge AI translation server module, a text classification decision module, a dynamic content monitoring module and a translation closed loop module. The application greatly reduces the deployment difficulty, improves the convenience and flexibility, has a wide range of applications, and has high practicability and innovation by taking the embedded system as a carrier. Through the embedded proxy+edge AI hybrid translation architecture, plug and play, privacy security and offline availability are realized. Through length+term density dual text classification, industrial professional text translation is accurately adapted. Through dynamic load balancing scheduling, low delay, high accuracy and high stability are considered.

The embodiment of the present application provides a binary translation optimization method, a binary translator and an electronic device, wherein the method comprises: when a narrow write operation instruction is translated, updating a state mark of a first register in a preset state table according to a write bit width of the narrow write operation on the first register; the state mark is used for indicating whether high bits of a corresponding register need to be cleared and recording an effective bit width of the corresponding register; when a read operation instruction is translated, obtaining a state mark of a second register corresponding to the read operation from the preset state table; if it is determined that a read bit width of the read operation is greater than the effective bit width indicated by the state mark of the second register, inserting a first clear instruction before a translation result of the read operation instruction; the first clear instruction is used for clearing specified high bits of the second register. The present application can simplify a target machine code sequence generated by translation, greatly reduce redundant operations, and improve execution efficiency of a translation system.

The disclosed subject matter provides a docking station for a translation device, a control method, and a translation system. The docking station includes a communication module in wireless communication connection with at least a first translation device and a second translation device, the communication module configured for receiving first information to be translated sent from the first translation device and sending translated second information to at least the second translation device based on the wireless communication connection, a language type of the second information corresponding to the second translation device and the second information comprising at least one language type different from that of the first information; and a control module configured for receiving the first information transmitted by the communication module, translating the first information into the second information, and sending the second information to at least the second translation device via the communication module.

This invention discloses an AI projection translation system, relating to the field of language translation. The system includes a motherboard, a first voice board, and a second voice board. The first and second voice boards have identical structures and are respectively positioned on opposite sides of a light screen. Compared with existing technologies, the advantages of this invention are: it achieves bidirectional visual translation projection through a single optical engine combined with a light screen and mirroring technology; it replaces the traditional dual-screen structure with a single projection optical engine, significantly reducing the number of display modules and related circuits while ensuring visibility from both sides; it projects the translated text onto a transparent projection screen and performs real-time mirroring, ensuring that the text seen by users on both sides of the screen is readable in the forward direction, eliminating the need to turn around or adapt to reversed content; by projecting the translation onto a large screen, both parties can clearly view it from opposite ends of the conference table, overcoming the limitation of close-range viewing on small screens, making it suitable for various occasions such as meetings, negotiations, and teaching.