213 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 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.

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.

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.

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.

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.

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.

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 invention discloses an infant cry detection and translation system based on voice feature recognition in the technical field of voice recognition. The infant cry detection and translation system comprises a cloud database, an intelligent system and acquisition equipment, the intelligent system comprises an acquisition module, a preprocessing module, an analysis module, a translation module, a feedback module, an input module and an adjustment module. The acquisition module is used for acquiring environment sound and various indexes of a baby; the preprocessing module is used for preprocessing voiceprint information; the analysis module is used for calling the cloud database, analyzing and judging the infant crying reason and analyzing the environment sound condition; the translation module is used for translating the baby cry and sending suggestions to the guardian terminal; the feedback module is used for receiving feedback information; the input module is used for recording feedback information and various indexes of the baby; and the adjusting module is used for adjusting the system sensitivity. According to the system, sound information of the environment where a baby is located is collected through the collection module and is analyzed by the analysis module, and finally the sensitivity of the system is adjusted through the adjustment module.

To provide a translation device 110 capable of displaying an easily understandable translation even when an original text contains words that are difficult to translate literally. A translation device 110 according to the present disclosure includes an original text acquisition unit 10 that acquires an original text to be translated; an annotation target extraction unit 20 that inputs the original text acquired by the original text acquisition unit 10 to an artificial intelligence unit 200 and acquires and outputs annotation target phrases contained in the original text that are difficult to translate from the artificial intelligence unit 200; an annotation addition unit 30 that acquires annotation information corresponding to the annotation target phrases output by the annotation target extraction unit 20 and generates an annotated original text by adding the annotation information to the annotated target phrases; a translation unit 40 that translates the annotated original text generated by the annotation addition unit 30 into a language to be translated, thereby generating an annotated translation; and a display processing unit 50 that displays the annotated translation translated by the translation unit 40 on a display device 400.

The invention relates to the field of sign language translation. The invention discloses a sign language real-time translation system based on multi-dimensional data fusion. The sign language real-time translation system comprises an image information acquisition module, a data processing module and a result display module, the image information acquisition module captures sign language actions of a user in real time through a camera to generate sign language videos, and operates four core task architectures including an HTTP server task, a camera acquisition task, a streaming media transmission task and a video downloading task on the basis of FreeRTOS, the HTTP server task receives a client request, and the video downloading task receives the client request. Comprising an MJPEG video stream, a JPEG single frame capture and a video downloading access endpoint, a built-in CORS cross-domain access support, a camera acquisition task continuously captures JPEG frames with a fixed frame rate, each task is connected with a queue transfer client through semaphore protection frame data to realize efficient collaboration, multi-task parallel processing is realized, the transmission frame rate is accurately controlled to meet the algorithm requirement, and the algorithm requirement is met. And ESP32 dual-core resources are utilized to the maximum extent.

The invention relates to the technical field of big data translation systems, and discloses a language translation system and method based on big data. The method comprises the steps of collecting multi-language historical data, and obtaining a source language text data set, a target language text data set and a translation evaluation data set which are collected within a preset time range; then, executing stability evaluation on the three data sets to obtain a language use stability factor, a translation consistency stability factor and an evaluation reliability stability factor; then, the stability factors serve as key indexes, dense exploration is executed in a translation parameter configuration domain, and priority translation configuration is determined; and finally, translating the input source language text according to the priority translation configuration and a predetermined translation task set to generate a serialized translation data set, analyzing the set by adopting a translation result analyzer, and outputting a final translation result.

The invention discloses an end-to-end speech translation method and translation system capable of controlling duration, which effectively reduces the translation delay by introducing a speech end-to-end scheme. By constructing a brand new token and introducing a token alignment scheme, the length of a translation result is effectively controlled; by controlling the token duration and adding a length control variable, cross-language timbre and rhythm cloning is guided, so that relatively excellent cross-language timbre and rhythm cloning is achieved.

The invention provides a multi-word expression-oriented machine translation differential test method aiming at the problem of inaccurate multi-word expression semantic translation in a mainstream machine translation system. The method comprises the following steps that a word segmentation tool based on deep learning is adopted to divide words into vocabulary units, syntactic labels are distributed in combination with a pre-training sequence marking model, and a dependency analysis tool spaCy is utilized to mark the syntactic relation between the words; converting the tagged corpus into a standard CoNLL format, extracting a multi-word expression of a sentence through an automatic tool, and establishing a test data set of a sentence-level and phrase-level corresponding relationship; inputting the test set into a multi-translation system to generate a translation, and using an alignment tool AWESOME to accurately locate a corresponding relationship between a source language and a target language MWEs; the translation similarity is calculated based on BERTScore, mistranslation, translation omission and non-translation are recognized through an intra-group and inter-group dual check mechanism in combination with a dynamic threshold value, and evaluation of the translation accuracy of machine translation on multi-word expression is completed. According to the method provided by the invention, multi-word expression translation errors can be accurately recognized, and the accuracy of phrase-level semantic translation of a machine translation system is finely evaluated through a differential test method.

In implementation of techniques for translating images based on semantic information, a computing device implements a translation system to receive an input image in a first format, encoded semantic information describing a domain of the input image, and a selection of a second format. The translation system decodes the encoded semantic information using a machine learning model. The translation system then generates an output image in the second format by translating the input image from the first format to the second format using the machine learning model, the machine learning model guided by the decoded semantic information. The translation system then displays the output image in the second format in a user interface.

The invention belongs to the technical field related to sign language translation, and particularly relates to a data integration method of a multi-mode sign language translation system, which comprises the following steps of: S1, acquiring original data collected in the multi-mode sign language translation system through a set original data collection module so as to achieve a collection process of the original data in a data integration process; according to the system, the character / voice data can be converted into structured text information through the arranged data processing and conversion module, output is provided for generation of sign language translation images, meanwhile, gesture action data can be converted into structured text information, and therefore alignment of multi-modal data is achieved, and the accuracy of sign language translation is improved. The accuracy of a translation result in the sign language translation system is improved, the efficiency of bidirectional translation in the sign language translation system is improved, and data in different formats in the multi-mode sign language translation system can be classified and integrated through the arranged data classification and integration module.

The invention relates to the technical field of ship equipment, discloses an off-line large-model intelligent bidirectional translation system oriented to navigation communication guarantee, and aims to solve the problem that navigation communication among different languages depends on networking requirements of translation software or depends on subjective judgment of accompanying translators in the prior art. According to the technical scheme, the communication content is extracted and translated by using the pre-established model, the subjectivity of manual translation is avoided, networking is not needed, and communication among different languages is realized. According to the invention, the effective voice is extracted, so that the influence of environmental noise is reduced; the voice is converted into the text, communication content can be visually displayed, and information omission is avoided. And the translation unit loaded with the text matching model integrated with the special term of the marine communication can translate special words and sentences in the marine communication, so that the translation accuracy is improved. And the audio recording unit and the storage unit can store communication contents and translation contents, so that subsequent redisk is facilitated.

A program translation system may generate a first program source internal representation expressed using a source language representation of a source programming language and a first program target internal representation that is expressed using a target language representation of a target programming language. The system may interpret the first program source and target internal representations with first program data to generate a first program source and target results. The system may, when the source and target results are inconsistent, modify the target language representation. The system may, when the source and target results are consistent, generate a second program source internal representation of a second program. The system may use the second program source internal representation to generate a second program target internal representation of the second program. The system may use the second program target internal representation to generate a second program in the target programming language.