362 results about "Translation system" patented technology

The invention discloses a network strategy intention translation system and method based on retrieval enhancement. The system comprises an intention acquisition module, a retrieval enhancement module, an intention translation module, a network strategy generation module, a network strategy verification module, a network strategy issuing module and the like. The method comprises the following steps: (1) an intention acquisition module acquires a network strategy intention input by a user in a natural language; (2) a retrieval enhancement module retrieves a retrieval document highly related to the business scene; (3) an intention translation module generates an expected intermediate intention template; (4) a network strategy generation module converts the expected intermediate intention template into a specific network configuration strategy; (5) a network strategy verification module verifies the network configuration strategy; and (6) the network strategy issuing module converts the network configuration strategy into a specific network configuration command and pushes the specific network configuration command to corresponding network equipment.

The invention discloses an international remote translation system based on AI and an implementation method thereof, and belongs to the technical field of artificial intelligence. Comprising a voice input module, an emotion perception module, a predictive simultaneous interpretation module, a language adaptation module based on few-sample learning, a dynamic translation quality evaluation and feedback module and a multi-language cooperative processing module, and can automatically recognize an input language and dynamically adjust a translation model in a multi-language environment. The emotion information in the voice and the text is captured in real time, the translation path is optimized in combination with the context weight, the emotion transmission accuracy and the translation context consistency are remarkably improved, the term requirements of different fields can be rapidly met, the translation quality is continuously optimized through dynamic feedback, the translation accuracy and smoothness are ensured, and the translation efficiency is improved. And the method has wide applicability in multi-language, cross-cultural communication and professional field application, and has relatively high innovativeness and practical value.

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.

According to the method for constructing the efficient sign language translation system based on deep learning, the accuracy and efficiency of sign language translation are remarkably improved through improvement in the aspects of data enhancement and preprocessing, model architecture optimization, real-time translation and interaction, system robustness and adaptability and the like. Through the application of the multi-modal deep learning model and in combination with the computer vision and natural language processing technology, the sign language can be better understood and translated, and diversified communication requirements of users are met. In addition, due to the self-adaptive learning ability and the multi-language support function of the system, the system can be continuously optimized and adapt to the requirements of different users, and the system has wide application prospects and social value.

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.

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 invention discloses an automatic connector butting and tightening device and a using method thereof. The automatic connector butting and tightening device comprises an equipment base. The workbench is arranged on the equipment base; the robot system is arranged on the base, and the robot system is provided with a mechanical arm and a visual camera; the servo translation system is arranged on the workbench, and the servo translation system is provided with a tightening gun and a tightening head; the robot control system is arranged on the base; wherein the visual camera is used for identifying a target interface and a connector, guiding posture transformation and movement of the mechanical arm and assisting the mechanical arm in completing unmanned automatic taking and alignment of the connector. And the servo moving translation system is used for driving the tightening gun and the tightening head to tighten the connector and the female seat, and unmanned automatic tightening is completed. The connection between the work heads and the female seats of excessive wire harness connectors can be automatically completed, and the connector taking by a mechanical arm can be automatically completed; the nut of the connector is automatically tightened; and the whole process is less in human intervention.

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 invention discloses a translation system based on artificial intelligence, intelligent glasses for translation and a translation method. The translation system comprises first intelligent glasses, a first intelligent mobile terminal and a cloud server, and a generative artificial intelligence large language model is configured in the cloud server. The first intelligent glasses pick up a first voice of a first language from a preset direction and send the first voice to the first intelligent mobile terminal. The first intelligent mobile terminal converts the first voice into a first text and sends the first text to the cloud server; and the cloud server translates the first text through the model according to the translation prompt to obtain a second text of a second language and sends the second text to the first intelligent mobile terminal. And the first intelligent mobile terminal converts the second text into a second voice and sends the second voice to the first intelligent glasses for playing. According to the invention, high-precision intelligent translation based on the intelligent glasses is realized, and the product viscosity can be increased.

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.

An object handling system (10) is disclosed, comprising at least one automatic moving shuttle (14) comprising: a moving chassis unit (40) for moving the automatic moving shuttle in a first direction; a payload (50) for supporting at least one object thereon, the payload comprising a plurality of prongs (26); and a payload translation system (52) for translating the payload in at least a second direction towards the receiving surface, the at least second direction being orthogonal with respect to the first direction, the payload translation system specifying that the plurality of prongs are adapted to engage a recessed area within the receiving surface.

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.

Disclosed is an object handling system (210) comprising: an automatically movable shuttle (218) comprising a movable chassis for moving the automatically movable shuttle in a first direction, a payload for supporting at least one object thereon, and a payload translation system, the payload comprising a plurality of prongs; and an automatically movable vehicle (212) movable in a second direction substantially orthogonal to the first direction, the automatically movable vehicle comprising a receiving surface (236) for receiving the plurality of prongs of the payload, wherein the payload translation system of the automatically movable shuttle is for translating the payload towards the receiving surface of the automatically movable vehicle, and the payload translation system causes the plurality of prongs to be adapted to engage recessed areas within the receiving surface of the automatically movable vehicle.

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.

The invention discloses a self-adaptive multi-language inter-translation system, and relates to the technical field of multi-language inter-translation, and the self-adaptive multi-language inter-translation system comprises a voice acquisition module, a language analysis module, a semantic recognition module, a bidirectional translation module and a self-adaptive learning module. The translation process is continuously optimized by analyzing the user feedback and the translation result, so that the translation quality can be continuously improved along with time and data accumulation, meanwhile, the forward and reverse translation function provided by the bidirectional translation module ensures that the user can be well supported whether inputting or receiving information, and the user experience is improved. A user can switch languages at any time according to needs, so that communication is smoother, and free flow of information and communication of multi-culture are promoted.

Disclosed herein are systems and methods for translating and verifying text in a variety of different languages for the same software application. When the text in the application changes. embodiments of the disclosure may include translating and / or verifying only the text that has changed. The system may compare the new screenshot(s) with previously accepted screenshot(s) to locate the text that has changed. The text that has not changed (since the last accepted translation) may not be translated and / or verified once accepted by a translator. The system may highlight the text that has changed so that the translator may focus only on the relevant portions of the user interface and not have to search for the text that has changed. For rejected translations. the system may repeat the process. translating and / or verifying only the rejected text (instead of translating / verifying all text again).

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 Tibetan-Chinese neural machine translation system construction method based on language model knowledge distillation, and is suitable for the field of artificial intelligence and machine translation. Comprising the steps that S1, Tibetan-Chinese bilingual corpora and Tibetan-Chinese monolingual corpora are collected and preprocessed; s2, selecting a neural machine translation model as a student model, and training the student model by using Tibetan-Chinese bilingual corpora; s3, selecting a monolingual language model as a teacher model, and training the teacher model by using Chinese and Tibetan monolingual corpora; s4, carrying out distillation training on the student model, and enabling the output probability of the student model to fit the output probability of the teacher model; and S5, for the student model, calculating the difference between the generated translation and the reference translation, and carrying out iterative training and parameter optimization. The monolingual language model is utilized to guide the neural machine translation model for training, the teacher model only participates in student model training and does not participate in translation decoding, the decoding speed can be increased, the resource and storage requirements can be reduced, and the method is favorable for being deployed in a platform with limited computing resources.

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.