284 results about "Translation system" patented technology

The invention discloses a real-time translation recognition system under a cloud service framework, belongs to the technical field of real-time translation, and solves the problems that an existing translation system is insufficient in real-time performance, poor in scene adaptability, weak in privacy protection, slow in model evolution and the like. The dynamic model management engine obtains adaptive slices from a model slice factory according to scenes, equipment states and network quality and distributes the adaptive slices to edges, and the adaptive slices are distributed to a cloud-side collaborative reasoning system; the cloud-side collaborative reasoning system comprises a cloud-side collaborative reasoning system, a cloud-side collaborative reasoning system, a cloud-side collaborative reasoning system and a cloud-side collaborative reasoning system; the multi-modal perception engine fuses audio, images and dialogue history to generate a structured context vector and improve translation context fitting degree, the cloud edge cooperation engine takes an edge model as a core, processes different complexity tasks in combination with a cloud end, and constructs a data closed loop by incremental learning and a federation engine to realize model optimization and privacy protection; according to the system, the real-time performance, accuracy and safety are improved through cloud edge collaboration, dynamic adaptation and continuous learning, and the system is suitable for multi-scene real-time translation.

The invention relates to an intelligent real-time language synchronous translation system and a terminal thereof. The system comprises a voice segmentation module used for carrying out semantic analysis on target voice to be translated and segmenting the target voice according to obtained semantic information to obtain voice units; the scene recognition module is used for analyzing the voice unit to obtain scene information; the syntactic rhythm analysis module is used for converting the voice unit into a text, performing syntactic analysis, and analyzing the voice unit in combination with the information and the semantic information to obtain voice rhythm information and statement structure information; the semantic optimization module is used for correcting the semantic information based on the statement structure information, the scene information and the voice rhythm information to obtain optimized semantic information; and the speech translation module is used for translating the optimized semantic information based on the target language to obtain a target language translation. According to the system, through multi-module cooperation, voice semantics can be accurately mastered, different scenes are fitted, and the accuracy, smoothness and practicability of translation are effectively improved.

An automatic online voice translation system and method, comprising a virtual translator, a SIP gateway, and a storage, wherein the SIP gateway receives a call from a caller, when the virtual translator is not activated, the SIP gateway establishes a communication between the caller and the agent by streaming in real-time caller's voice directly to the agent and agent's voice directly to the caller, and when the virtual translator is activated, the SIP gateway creates audio files based on the received voice streams of both the caller and the agent, and sends the created audio files to the virtual translator for translating the caller's voice into a language understood by the agent, before transmitting the voice to the agent. In another embodiment, a contact center platform is used for applying features such as call recording, Interactive Voice Response (IVR) service, and conferencing service to the call.

The invention relates to the technical field of language translation, and discloses a multi-language intelligent translation system based on artificial intelligence, and the system comprises an acquisition module which is used for receiving externally inputted voice information or text information; the corpus management module is used for receiving the text information transmitted by the acquisition module; the translation quality improving module is used for providing semantic mapping data based on the corpus management module; the privacy and security module is used for receiving the translation result generated by the translation quality improvement module; and the cloud-end cooperation module is used for coordinating task scheduling among the acquisition module, the corpus management module, the translation quality improvement module and the privacy and security module. Semantic mapping data of high resources and scarce languages is generated through a corpus management module and is called by a translation quality improvement module; the translation quality improving module generates target language output through context modeling and multi-stage translation, efficient cooperation of multi-language and scarce language translation can be achieved, and translation efficiency and accuracy are improved.

The invention discloses a voice translation system based on a Bluetooth headset, which relates to the technical field of voice translation of Bluetooth headsets and comprises a voice acquisition module, a voice speed detection module, a rhythm evaluation module, a voice regulation and control module and a text verification module. The rhythm evaluation module is used for extracting rhythm characteristic information in a user voice signal collected by the Bluetooth earphone in the voice speed fluctuation time period, analyzing the rhythm characteristic information and evaluating the intensity of statement rhythm mutation in user expression in the voice speed fluctuation time period; and the voice regulation and control module is used for selecting and executing a corresponding voice processing strategy according to the evaluation result, and carrying out dynamic regulation and control in the execution process. According to the method, the problem that statement rhythm mutation caused by speech speed fluctuation cannot be dynamically regulated and controlled is solved, intelligent adaptation and whole-process response of a speech processing strategy are realized, structural optimization is performed on a translation result, and translation accuracy and semantic coherence are remarkably improved.

The invention relates to the technical field of agricultural machinery automation, in particular to a weeding machine automatic row control translation system and method based on machine intelligence, and the method comprises the steps that a multi-mode sensing module obtains environment data and crop information data; the environment map construction module outputs row reference parameters through a crop row feature extraction algorithm, integrates the environment data and the row reference parameters, solves the three-dimensional pose of the weeding machine through a beam adjustment algorithm, and constructs a high-precision map of the working environment; the decision control module obtains a target row translation track based on a near-end strategy optimization algorithm, and outputs a control instruction; the self-adaptive execution module is used for driving the weeding execution mechanism to automatically perform row-to-row translation weeding along crop rows; and the self-learning module is used for establishing a row translation performance evaluation index according to the full-link operation data, and dynamically updating a target row translation track through a continuous learning algorithm. Therefore, the problems of high seedling injury risk, poor terrain adaptability, low operation efficiency and the like in the prior art are solved.

Systems and methods for operation and assembly of a helical drive are provided. A helical drive includes a discrete roller assembly-based roller worm including a body portion and a plurality of discrete roller assemblies disposed in a first helical pattern about the body portion. The helical drive includes an engagement structure including a primary axis, wherein the roller worm is configured to rotate about a central axis to cause linear translation of the roller worm along a length of the engagement structure and the primary axis. The engagement structure includes a plurality of tracks disposed along the length of the engagement structure, where each of the tracks is configured to receive at least one of the roller assemblies during the rotation of the roller worm.

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 invention relates to the technical field of data processing, and provides an internet text translation system based on artificial intelligence, a feature extraction module generates genre, style vectors, culture mark sequences and rhythm feature vectors through a deep neural network, the problem that specific attributes of internet texts are difficult to accurately capture in the prior art is solved, and a fine-grained basis is provided for translation; the dynamic translation module dynamically adjusts decoding parameters, interruption opportunity and translation method selection to realize style restoration, culture adaptation and rhythm matching, and overcomes the defects of traditional translation style distortion, culture element processing rigidity and rhythm dislocation; the feedback optimization module enables the system to continuously learn new language phenomena and user requirements through a knowledge vector generation and increment updating mechanism, solves the problem that a static system is poor in adaptability, and improves the accuracy, adaptability and efficiency of internet translation through cooperation of the three mechanisms.

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.

The invention relates to a speech translation method, device and equipment of an end cloud translation system and a medium, and relates to the technical field of intelligent speech translations, the end cloud translation system comprises an audio receiving end and a cloud, the method is applied to the audio receiving end, and the method comprises the following steps: obtaining a first language audio of the audio receiving end; sending the first language audio to a cloud; and receiving and playing a second language audio, wherein the second language audio is translated by the cloud according to the first language audio and then is sent out. The method can be widely applied to cross-border conference scenes, and the cross-language communication efficiency and experience are improved.

The invention discloses a multi-voice common exchange type anti-interference Bluetooth earphone translation system, and relates to the technical field of voice processing. Comprising an audio dynamic state acquisition module, an audio feature preprocessing and data construction module, a dynamic range abnormal feature extraction and quantitative analysis module, an audio system state intelligent evaluation module and a sound source weight adaptive regulation and control module, through a high-precision microphone array, a digital signal processing chip and an audio processing module which are integrated in the earphone, audio dynamic range state characteristic data generated in the operation process of each sound source channel are monitored and captured in real time. According to the method, the audio dynamic range imbalance state is recognized in real time, the sound source weight is adjusted in a self-adaptive mode, interference channel local suppression and main voice channel stable maintenance are achieved, and translation task continuity and recognition accuracy are effectively guaranteed.

The invention provides a document translation method and system, computer equipment and a storage medium, and the method comprises the steps: taking a document associated with steel as a target document, then carrying out the structured fragmentation of the target document, and obtaining a more precise semantic unit; for the content of each fragment, retrieving professional terms from a preset translation term contrast library, constructing prompt words, and performing translation term matching on the text content of each fragment according to the preset translation term contrast library, so that the translation terms of the same text content are the same; inputting the term cues and the original text into a multi-stage large language model, and respectively carrying out literal translation processing, quality evaluation and optimization suggestion, so as to generate interpretation content which is strong in specialty and naturally expresses; and finally, integrating and outputting all the fragmented contents into a structured complete translation document. The translation quality of technical data in the iron and steel industry can be remarkably improved, and the problems that an existing general translation system is not uniform in terms, split in structure, stiff in expression and the like are solved.

Systems and methods for global account identifier translation. Embodiments described herein include a service provider system configured to receive API calls that include an initial identifier, which may be issued by the service provider system and / or associated with a third-party entity. The service provider system may use the initial identifier from the API call to obtain a primary identifier associated with an account. The primary identifier is then used to service the API call to obtain an API call result. The API call result may be transmitted to the device from which the API call was received.

The invention belongs to the technical field of computer vision, discloses a sign language-first aid medical term real-time translation system and method for a pre-hospital first aid scene, belongs to the technical field of computer vision and medical information crossing, and aims to solve the problem that a deaf-mute patient has communication barriers with medical care during pre-hospital first aid. The problems that general sign language translation deviates from medical terms, depends on a network and does not have two-way inquiry are solved; the system is deployed on a Pad terminal with a camera, runs locally and comprises a sign language acquisition unit, a feature recognition unit, a first-aid medical sign language library unit, a term matching unit and a bidirectional output unit. Collecting a sign language video of a patient, extracting hand track and posture features, matching terms in a library, and feeding back to medical care in the form of characters and voice; the system realizes real-time inter-translation, does not depend on the network, adapts to the emergency inquiry process, ensures the accuracy of illness state information, and effectively improves the pre-hospital emergency communication efficiency and the disposal accuracy.

The invention provides a short play subtitle translation system based on artificial intelligence, and relates to the technical field of artificial intelligence, and the system comprises a subtitle recognition module, an erasing module, a translation module and an output module, and can automatically recognize time information, position coordinates and visual style parameters of subtitles in a short play video. And generating a picture sequence without original subtitles in combination with the erasing processing, and translating the recognized original subtitle text into target language subtitles. The system generates target rendering parameters based on explicit style parameters and implicit style embedding vectors, realizes high restoration of fonts, strokes, shadows, gradient, transparency, textures and dynamic special effects, and performs adaptive adjustment according to target subtitle text features. Therefore, the visual consistency and culture adaptability of translated subtitles are improved in a short drama scene with complicated subtitle styles, frequent dynamic changes and obvious cross-culture differences, the audience impression is improved, and the manual post-processing workload is reduced.

A method may include obtaining a data stream with language data for translation by a translation system configured to translate between sign language and other language forms. The method may further include storing one or more portions of the data stream and directing a current portion of the data stream to the translation system. The method may also include providing the stored one or more of the portions of the data stream to the translation system and translating, by the translation system, the current portion of the data stream using the current portion of the data stream and the stored one or more of the portions of the data stream provided to the translation system.

The invention discloses a cross-language double-space alignment and pedigree guidance translation system, and relates to the technical field of natural language processing, and the system comprises a semantic double-space modeling module which is used for constructing a basic semantic space and a language specific semantic space based on a source language text, and forming a unified double-space semantic representation; the semantic mapping and alignment module is used for performing tensor projection and alignment of a source language and a target language based on the double-space semantic representation to generate a semantic representation adaptive to the target language; the translated text generation module is used for receiving the semantic representation and generating a translated text by means of a structure-perceived target language decoder and a language style control mechanism in combination with target language structure features and cultural habits; the structure perception attention module is used for introducing language structure features and improving perception and processing capabilities for different language structures; and the language pedigree guiding module is used for constructing a language pedigree graph and improving the translation effect of the low-resource language. The method is suitable for a multi-language communication scene.

Devices, systems, and techniques are disclosed that implement the training and deployment of automatic transcription-based translation systems using language models. The techniques include: processing, using a first speech-to-text (S2T) model, an initial input that includes spoken language in a first language to generate a transcription of the spoken language; and processing, using a second S2T model, a second input to generate a translation of the spoken language into a second language. The second input includes at least a representation of the spoken language and the transcription of the spoken language.

The invention discloses a sign language translation system and method based on lightweight mask enhancement, and the method comprises the following steps: 1, employing an inter-frame difference technology to recognize and reject redundant frames having no substantial contribution to motion expression, and further distinguishing the foreground and background information of sign language motion through a local dynamic mask module; step 2, inputting the sign language video optimized by the lightweight mask module to a visual module; accurate and comprehensive visual features are generated; 3, converting the visual features obtained from the visual module into language features suitable for language processing; and step 4, the language module receives the language features converted by the mapping module, and processes the language features in combination with an encoder-decoder model mBART to improve the quality of the output text. According to the method, the accuracy and efficiency of sign language-to-spoken language translation are remarkably improved; the method not only optimizes the use of computing resources, but also greatly enhances the readability and semantic coherence of translation results, and provides powerful technical support for realizing more popular and convenient sign language communication.

An object processing system is disclosed that includes a carrier for receiving an object on a receiving surface thereof, said receiving surface being adapted to move the object thereon in at least one transfer direction; a horizontal translation system for moving the carrier in a horizontal direction that is generally orthogonal to the transfer direction; a vertical translation system for moving the carrier in a vertical direction; and a payload stability system including a plurality of emitters that each emit a detectable field over a portion of the receiving surface, and a plurality of receivers for receiving the detectable field from each of the plurality of emitters and providing a plurality of detection signals, said payload stability system providing payload stability information responsive to the plurality of detection signals.

The invention discloses an automatic video translation system based on FFMPEG, TTS and Wav2Lip, and relates to the technical field of automatic translation processing, the automatic video translation system comprises a video processing unit, a translation synthesis unit and a mobile terminal, the video processing unit comprises a video input module, a video acquisition module, a preprocessing module, an audio extraction module and a video extraction module; the video input module is sequentially connected with the video acquisition module, the preprocessing module and the audio extraction module; the video extraction module is connected with the translation synthesis unit; according to the invention, face key points in a video frame are detected and tracked by using a computer vision technology through a mouth shape synchronization module, related voice features are extracted based on a face tracking result, and accurate synchronization of figure mouth shapes and voice contents in a translated video is ensured through technical means of image-to-image feedback circulation and the like; the translated video looks more natural and smooth, and the watching experience of audiences is improved.

The invention discloses a style and style aligned DOCX format document translation system, which comprises the following steps of: analyzing a DOCX format document through a document analysis tool to obtain an XML format text; each Paragraph object style label in the XML format text is simplified; the simplified XML format text is sent into a large language model to obtain a translation XML format text; carrying out XML label integrity verification on each XML format text of the translation; if the verification result meets the integrity requirement, original style tags are restored according to the corresponding sequence of the text in the XML format of the translation; and generating the reduced text in the XML format of the translation into a document in the DOCX format of the translation through a document analysis tool. According to the method, the problem of balance between format fidelity and translation quality in professional document translation is effectively solved, the pattern alignment accuracy and translation efficiency are remarkably improved, and the method is particularly suitable for professional document translation scenes, such as legal contracts and technical manuals, in which formats need to be strictly reserved.

The invention discloses a tablet computer real-time speech recognition and translation system based on side cloud collaboration, which relates to the technical field of speech processing, and comprises a speech noise reduction module for performing multi-stage enhancement by adopting beam forming and a deep residual network, performing multi-channel feature fusion in combination with adaptive noise estimation and an attention mechanism, and performing speech recognition and translation. Obtaining clean voice data after signal-to-noise ratio optimization; the language recognition module inputs the clean voice data into a language recognition network, extracts a voice feature vector, performs language recognition through a language clustering model and generates a language tag; and the translation module is used for carrying out semantic optimization through semantic understanding and context modeling according to the preliminary recognition text, and carrying out translation processing by utilizing a neural network translation model to generate a translated text. According to the invention, the technical effect of effectively improving the signal-to-noise ratio of the voice signal in a complex acoustic environment is realized.

The invention relates to the technical field of language translation, and discloses a portable multi-language intelligent acquisition and translation system, which comprises a multi-mode acquisition module used for acquiring audio signals and video streams; the environment sensing and scheduling module is used for evaluating the complexity of the current environment so as to dynamically adjust computing resources; the target voice construction module is used for determining a current speaker and extracting a target audio stream of the current speaker, and generating a voice text based on the target audio stream; the analysis module is used for generating visual situation metadata; the translation module is used for generating a preliminary translation result and a corresponding translation confidence score; and the interactive output module is used for carrying out ambiguity clarification to generate a final translation result. According to the invention, audio-visual fusion is carried out on the audio signal and the video stream, and the current speaker is determined in a multi-person noisy environment in combination with the face position and lip movement information of the video stream, so that the interference of background noise and other non-target speakers is eliminated, and the accuracy of subsequent speech recognition and translation is improved.

An address translation system, method and device including a translation extension unit associated with a client and having a client address translation cache storing a client cache of the address translations. When virtual address of a translation request from the client is the same as the virtual address of an address translation of the client cache, the translation extension unit returns the physical address that is mapped to the virtual address according to the address translation to the client without transmitting the translation request to a memory management unit that maintains a page table of all the translations and a translation lookaside buffer with a subset of the translations.

Methods, devices and systems for training a pattern recognition system are described. In one example, a method for training a sign language translation system includes generating a three-dimensional (3D) scene that includes a 3D model simulating a gesture that represents a letter, a word, or a phrase in a sign language. The method includes obtaining a value indicative of a total number of training images to be generated, using the value indicative of the total number of training images to determine a plurality of variations of the 3D scene for generating of the training images, applying each of plurality of variations to the 3D scene to produce a plurality of modified 3D scenes, and capturing an image of each of the plurality of modified 3D scenes to form the training images for a neural network of the sign language translation system.

The present application relates to a translation system for natural medicinal material domain-specific knowledge. The system comprises: a front-end program, a first learning model, a search engine and a natural medicinal material domain-specific knowledge base. On the basis of performing coreference primary term annotation, and coreference annotation of standard translations in multiple languages on natural medicinal material terms in the natural medicinal material domain-specific knowledge base, the search engine is used to search in the natural medicinal material domain-specific knowledge base for a natural medicinal material term extracted by the first learning model from text to be translated, the first learning model generates a translated document in an original format on the basis of a search result, and finally, the front-end program displays a translation result in a target language in a mode matching a display mode of a user interaction interface. By means of the translation system in the present application, a user can conveniently and intelligently perform accurate and standardized translation on related terms and knowledge in the domain of natural medicinal materials on the basis of requirements of the user.

An augmented reality (AR) translation system is provided. The AR translation system may analyze the camera data to determine an object included in a field of view of a camera of the user device. Augmented reality content may be provided that includes a visual translation of an object included in a field of view from a primary language to an additional language of a user. The translated auditory version may also be provided as part of augmented reality content. The user may also add an object in the field of view to a list of translated objects associated with the user based on at least one of a touch input, an audio input, or a gesture input.

The invention relates to the technical field of geographical name address translation, and particularly discloses a geographical name address translation system and matching method based on artificial intelligence and a special name library. Based on a to-be-translated geographical name address text input by a user, multiple candidate geographical entity information descriptions are extracted from a geographical entity information library; and performing deep context semantic interaction matching analysis on the to-be-translated geographical name address text and the information description of each candidate geographical entity by utilizing a natural language processing technology, and performing translation on the to-be-translated geographical name address text by taking the matched standard geographical name address description of the candidate geographical entity as a basis and combining translation knowledge in a special name library. And performing target language translation matching and standardization processing on the standard place name address description to generate a final target language translation place name address. According to the application, the geographic entity information base is utilized to assist in identifying the fuzzy or non-standard place name address input by the user, so that reliable geographic entity anchoring can be provided for the translation process, and the accuracy and consistency of translation are improved.