117 results about "Automatic translation" patented technology

The invention belongs to the technical field of speech translation, and particularly relates to a video speech automatic translation method based on a pre-training model, and the method comprises the following steps: 1, preprocessing video and audio data; step 2, voice recognition and language detection; step 3, machine translation and text post-processing; step 4, speech synthesis and audio mixing; step 5, synchronizing video processing and subtitles; step 6, quality control and multi-dimensional evaluation; 7, carrying out model iteration and data closed loop; and step 8, system deployment and engineering implementation. Through deep fusion of efficient transfer learning of the pre-training model and the multi-modal technology, a high-precision, low-cost and easy-to-expand video speech translation solution is constructed, the time and labor cost of globalized content production is greatly reduced, the cross-language communication efficiency is improved, immersive multi-language experience is provided, and the method is suitable for popularization and application. And a data-driven continuous optimization mechanism is established, so that the system performance is improved along with the increase of the use scale.

The invention discloses a cross-platform self-adaptive internationalization language dynamic switching method based on a database. According to the method, a multi-language resource database table structure is constructed, multi-language resources are stored in a unified mode, and data association and a unique identifier are established; providing a unified universal language request interface, receiving a request query database to obtain resources, writing the resources into a cache layer, and generating a version identifier; establishing a multi-terminal adaptation mechanism, realizing incremental updating of the front-end application according to the cache version identifier, and adapting to different platform and equipment requests; seamless updating of the interface is achieved by means of an event mechanism, and reloading of the application is avoided; an expansion management platform is established, and addition, deletion, modification and check, batch import and automatic translation interface integration of language resources are supported. According to the invention, the problems of dispersed language resource management, inconvenient switching, poor cross-platform compatibility and the like in the prior art are solved, the management process can be simplified, the cost can be reduced, the system performance and expandability can be improved, and smooth and convenient multi-language use experience can be brought to users.

The invention discloses a code translation method and device based on a large language model, and the method comprises the steps: firstly executing an architecture understanding workflow, and forming an architecture design document O1 of a code library; according to the architecture design document O1 of the code library, in combination with the demand document P1, code translation task decomposition workflow is executed, and a task planning list O2 is formed; elements in the task planning list O2 are sequentially extracted, and the code debugging workflow is executed to complete code translation and debugging work. A warehouse-level code architecture understanding workflow, a code translation task planning workflow and a code debugging workflow are constructed based on a large language model (LLM), and the workflows are organically combined to realize automatic translation of warehouse-level codes. According to the method, the limitation of function level translation in the prior art can be broken through, automatic translation of warehouse level codes is realized, the development cost is greatly reduced, and the translation efficiency is improved.

The present application relates to the field of geographical name translation technology, and specifically discloses a geographical name automatic translation method based on a specific rule base, which first splits the geographical name to be translated input by the user to obtain multiple geographical name segments, and loads the corresponding rule base based on the type of each geographical name segment to parse each geographical name segment to obtain multiple initial candidate translated names, and then introduces a natural language processing technology based on deep learning to perform semantic analysis and contextual semantic association encoding on each initial candidate translated name to obtain the global contextual semantic association features of the candidate translated name, and with the help of a large language model, the geographical name is translated based on the contextual semantic information of the candidate translated name to generate a geographical name translation result. By combining a specific rule base and semantic analysis technology, this method can comprehensively consider the language characteristics, cultural background and contextual context of the geographical name, thereby improving the accuracy of geographical name translation.

A disclosed method facilitates translation of natural language queries into query language statements usable to retrieve data from or write data to a particular database. The method includes obtaining a pool of shots. Each shot in the pool includes a natural language query component and a corresponding database translation component. The method further provides for vectorizing the natural language query component for each of the shots into a common vector space; receiving a natural language query from a user interface; vectorizing the natural language query within the common vector space; identifying a subset of vectorized natural language query components that satisfy a similarity metric when compared to the vectorized natural language query; and generating an LLM prompt that includes shots from the pool corresponding to the subset of the vectorized natural language query.

The invention relates to the technical field of semantic analysis, in particular to a multi-language semantic analysis system, which comprises a context monitoring module, a syntactic regulation adjustment module, a semantic structure matching module, a syntactic error detection module and a syntactic optimization module, and analyzes an applicable language range and an analysis effect of a rule based on a context change classification result. According to the method, the processing precision of multi-language input is improved by monitoring context changes in real time and specifically adjusting syntactic rules, the semantic analysis system can sensitively adapt to tiny changes in languages by implementing similarity calculation of fine-grained semantic units and historical dialogue data, and the accuracy of multi-language input processing is improved. Dynamic adjustment of syntactic rules is changed according to specific context of texts, adaptability to complex language structures is optimized, a real-time error evaluation and adjustment mechanism is introduced, analysis errors caused by language diversity are effectively reduced, and cross-language application efficiency and user experience are improved especially in the aspects of automatic translation and internationalization of language content.

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

The invention discloses an intention-driven network configuration template generation method, which is characterized in that automatic translation from a user intention to a network configuration instruction is realized by constructing a comprehensive model fusing a graph neural network and a natural language processing model, and specifically comprises the following steps: S1, constructing a network configuration instruction graph; s2, preparing a data set; s3, finely adjusting the BERT model; s4, instruction embedding generation; s5, intention embedding generation; s6, calculating matching similarity; according to the method, knowledge contained in a network configuration document is mined, an instruction graph capable of representing the relation between network configuration instructions is constructed, an incidence relation data set of a private network service deployment intention and the network configuration instructions is prepared, a graph neural network and a natural language processing pre-training model are fused, and through contrast learning training tuning, the network configuration instructions are optimized. The translation from the private network deployment intention to the network configuration instruction sequence is realized, that is, the network configuration template is automatically generated, and the pressure of a service expert on reasoning a configuration scheme in a new scene is relieved.

The invention discloses a multi-mode AI-driven short video automatic translation and speech synthesis system, which relates to the technical field of audio and video and comprises video acquisition, processing, translation and synthesis modules and the like. The video acquisition end receives various audio and video data submitted by a user and detects violation content; the primary processing end identifies formats of compliance data, transcodes the compliance data, separates audio and video streams, and further separates human voices and background voices; the video translation end extracts a human voice signal to generate a target language text, generates an audio stream in combination with rhythm features and a human voice module, and fits the audio stream with background sound; a video synthesis end extracts a lip image frame sequence from a video frame, generates a matched lip vertex displacement coordinate according to an audio frame sequence and renders the matched lip vertex displacement coordinate, and finally compresses, packages and outputs an audio and video synchronization sequence; various AI technologies are applied to the modules, automatic translation and speech synthesis of short videos are achieved, and the generation efficiency and quality of cross-language video content are improved.

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 driving seat automatic translation and rotation device and a paver, and the driving seat automatic translation and rotation device comprises a rack, a seat, a translation mechanism and a rotation mechanism; the translation mechanism is mounted in the rack, comprises a first driving device and is used for mounting the seat on the rack in a sliding manner and enabling the seat to generate translation motion under the driving of the first driving device; the rotating mechanism is mounted on the inner side of the translation mechanism, is rotationally connected with the bottom of the seat, comprises a second driving device and is used for driving the seat to rotate under the driving of the second driving device. The device can realize automatic translation and rotation of the driving seat, is high in integration level, improves the control experience of paver products, can be applied to automatic movement of mobile platforms of other industrial products, and has better popularization and application values.

The invention relates to the field of computers, and particularly provides an automatic translation method and system, based on OCR (Optical Character Recognition), firstly, a user selects a screen as a screen capture area, recognizes the capture area, translates into a target character, displays a translation result, monitors the selected area of the screen in the background, and translates the target character into the target character. Judging whether the content of the text area changes or not. Compared with the prior art, the OCR technology can be used, the translation area is selected as the black box model, and software can be simply Chinese when foreign language software source codes do not exist. A screen capture technology is used, monitoring and dynamic translation of the selected area can be started only by selecting the area once, and screenshot translation does not need to be performed all the time.

The invention relates to the technical field of video data processing, in particular to a caption automatic translation method and device based on a large model and a storage medium. The method comprises the following steps: acquiring and preprocessing subtitle data and video data to obtain a time axis index table; constructing a semantic model based on the time axis index table to generate a semantic vector; performing feature extraction on the video data to obtain a voice feature vector and a video feature vector, and performing feature fusion on the semantic vector, the voice feature vector and the video feature vector to construct a fusion feature vector; constructing a terminology library and generating a preliminary translation result according to the fusion feature vector; and constructing a subtitle evaluation model according to the preliminary translation result to obtain adaptive subtitles. According to the invention, accurate translation of the subtitle data in the video is realized.

The invention discloses a multi-language internationalization translation method and system, a medium and equipment, and is applied to a distributed control system.The method comprises the steps that a background processing program reads a user visible text wrapped by an internationalization identifier in a source file and stores the user visible text as a json file; the automatic translation large model translates the user visible text to obtain the translated user visible text, and the background processing program stores the translated user visible text into the json file again; when the distributed control system runs based on a source code, automatically loading a dynamic library, matching a user visible text required to be translated of an internationalized identifier package with a json file, and displaying the user visible text required to be translated as a translated user visible text based on a result returned after matching, the multi-language version can be obtained without modifying a large number of source codes, the system language switching efficiency is improved, the labor cost is reduced, and the system maintenance efficiency is improved.

The invention proposes, inter alia, a method for automated translation using a sign language, the method comprising at least three of the following steps: - Assignment between a text and a sign glossary, - Assignment between a sign glossary and a skeleton position, - Generation of a gesture execution from a skeleton position, - Generation of a skeleton position from a gesture execution. In addition, an overall device, a module, computer program products, and various applications are proposed.

The invention relates to a classification marking device and marking method for marine T profile welding defects, the classification marking device comprises a translation device, a lifting device, a lineation device and a mounting platform fixedly mounted with welding equipment, and the lineation device is mounted at the lower part of the lifting device; the lifting device is mounted on the translation device in an inverted hanging manner; the translation device is inversely hung on the mounting platform, and the mounting direction is perpendicular to the moving direction of the welding equipment; and the translation device and the lifting device are connected with the motion controller. The marking device is driven by the welding equipment to move, automatic marking can be achieved, the efficiency is high, and the labor requirement is low; defect classification marking: different marks can be marked on the surface of the T-shaped profile through cooperative work of movement of an automatic translation device and welding equipment, so that classification marking of welding defects is realized; the chalk is pressed on the surface of the T-shaped profile through the elastic element, reliable marking can be achieved, it can be guaranteed that the marking device and the T-shaped profile cannot extrude each other, and equipment safety is guaranteed.

A method and a system for using a large language model (LLM) to automatically translate textual instructions into executable software code via skill distillation and composition are provided. The method includes: receiving a request for performing a task and a prompt; providing, as an input to an LLM, the first request and a response to the prompt; receiving, from the LLM, a set of code that implements a function that corresponds to a skill that is usable for performing the task; generating a test that relates to the task; performing the test by executing the set of code and checking whether the task has been successfully completed; and when the task has been successfully completed, storing the set of code in a skills library. Sets of code stored in the skills library may then be accessed and combined in order to perform larger tasks.

The embodiment of the invention provides a multi-language switching method and device.The method comprises the steps that under the condition that a multi-language item is compiled, all translated texts in the multi-language item are translated to obtain a multi-language resource file; under the condition of running the multi-language project, receiving a switching instruction carrying a target language, and obtaining a target language resource file corresponding to the target language from the multi-language resource file; and querying from the target language resource file to obtain a target translation text corresponding to each translated text, and replacing the translated text with the target translation text. According to the method, all the translated texts are automatically translated in the project compiling stage, the multi-language resource files can be generated after compiling is completed, language resource switching can be automatically completed during project running, existing service codes do not need to be manually modified, and therefore the labor cost of multi-language / internationalized project development is saved.

The present application relates to a Chinese-English automatic translation model training method, device, computer equipment, storage medium and computer program product. The method comprises: using a positive sample library storing positive samples as a first training sample set, training the original translation model to obtain a first-order translation model; using a negative sample library storing negative samples and a random portion of positive samples in the first training sample set as a second training sample set, training the first-order translation model to obtain a second-order training model; randomly selecting a number of samples from the second training sample set to perform a recurrence test on the second-order training model, and calculating the translation probability; judging whether the translation probability is greater than a preset probability threshold; if so, terminating the training.

Taking a translation task from Naxi Dongba to Chinese as an example, the invention provides a weak semantic low-resource character machine translation method based on semantic enhancement, which comprises the following steps: S1, designing a Naxi Dongba encoding system, and establishing a Naxi Dongba electronic dictionary; s2, a sufficient number of Naxi Dongba text-Chinese parallel sentence pairs are collected and marked, and a Naxi Dongba text-Chinese parallel corpus is constructed; s3, dividing the data set into a fine adjustment data set and a test data set, and further dividing the fine adjustment data set into a training set and a verification set; s4, constructing a semantic enhancement model based on fine tuning and custom word list embedding; s5, providing an iterative reverse translation method combined with word replacement, and constructing an extended data set; s6, constructing a weak semantic low-resource text machine translation model based on semantic enhancement, adopting an increment updating mechanism, taking the high-quality pseudo-parallel corpus generated in the step S5 as increment, inputting the increment into the semantic enhancement model in the step S3, and adjusting and optimizing the weight of the model through parameters; and S7, inputting the Naxi Dongba coded sentences to be translated into the updated model for translation, and outputting a result. According to the method, translation research from the Naxi Dongba text to Chinese is carried out based on traditional expert experience, automatic translation of the Naxi Dongba text can be achieved, meanwhile, the method has the capacity of continuous learning and adapting to new data, the machine translation effect of weak-semantic low-resource characters is improved, and technical support is provided for research in related fields.

A system is provided.SOLUTION: A guide system for assisting a traveler to acquire spot information, comprising: means for automatically summarizing spot information to be presented to the traveler using a generative model; means for translating the summarized spot information into a local language; means for collecting word-of-mouth information corresponding to a plurality of languages and automatically translating and summarizing the word-of-mouth information; means for displaying specific spot information on a map in response to a user request; and QR code reading means for allowing the user to acquire detailed information of a spot.SELECTED DRAWING: Figure 1

An object of a system according to an embodiment is to improve service experience by responding to an inquiry from a customer immediately and on a 24-hour basis.SOLUTION: A system according to an embodiment includes a natural language processing unit, a learning unit, a transfer unit, a translation unit, an aggregation unit, and a feedback analysis unit. The natural language processor uses natural language processing to understand the intent of the customer's question and generate an appropriate answer. The learner evolves to provide optimal answers from past dialogues. The forwarder automatically forwards the complex query to a human operator. The translation unit supports multiple languages, allows a customer to ask a question in his / her native language, and automatically translates the question to provide an answer. The aggregation unit aggregates inquiry leads of a plurality of services into one application. The feedback analyzer automatically analyzes the feedback from the customer and sends it immediately to the product.SELECTED DRAWING: Figure 1

The utility model relates to the field of injection molding machine discloses a kind of double-injection structure of automatic translation switching, including fixed mould plate and bearing platform, two injection platforms are arranged in parallel on bearing platform, and two injection platforms are each guided and slippage on bearing platform along injection direction, bearing platform is guided and slippage on body along perpendicular to injection platform injection direction, the movement of injection platform is controlled to whole shift oil cylinder, the movement of bearing platform is controlled to translation oil cylinder, positioning module for realizing accurate positioning when injection platform switching is arranged between body, bearing platform, fixed mould plate and injection platform, positioning module includes translation limiting block being arranged on the both sides of bearing platform on body, on-off structure being connectable or disconnectable between the piston rod end of whole shift oil cylinder and fixed mould plate and whole shift limiting block being arranged on bearing platform and limiting the maximum stroke of injection platform retreat, the double-injection structure can be automatically and accurately switched in subsequent after completing initial debugging, time-saving and labor-saving.

Methods, apparatus, systems, and articles of manufacture to translation between sign language and spoken language are disclosed. An example apparatus includes processor circuitry to at least one of instantiate or execute machine readable instructions to identify a plurality of candidate signs across different frames in video; associate a respective gloss to respective ones of the candidate signs; associate a respective confidence score with the respective glosses; identify overlapping frames of the candidate signs; select one or more of the candidate signs as performed signs based on the respective confidence scores and overlapping frames; and convert the performed signs to audio data.

To provide an automatic interpretation system capable of offering interpretation into multiple languages with high accuracy and at low cost.SOLUTION: A second speech 61 in a second language 131, interpreted by a first interpreter 31, is input into a first terminal device 41. A second speech 62 in a second language 132, interpreted by a second interpreter 32, is input into a second terminal device 42. An automatic interpretation unit 15 of an automatic interpretation system 11 performs processing to interpret a first speech 105 in a first language into third speeches 81-85 in a plurality of mutually different third languages 71-75. A transmission unit 33 associates the first speech, the second speeches 61, 62, and the third speeches 81-85 with each other in a format that allows a terminal device 19 of a recipient 29 to select and output a language, and transmits them as a multilingual speech 99.SELECTED DRAWING: Figure 1

An integrated instant messaging system (100) with an inbuilt translation feature and method for translating a plurality of messages in a respective language of a chat participants by sending a public key by a server (110) to the chat participant for facilitating interaction between the chat participants on a messaging application (150), automatically encrypting, by the public key, the messages of the chat participants; decrypting, by the server (110), the messages of the chat participants, automatically translating, by translation engine (105), the messages to a recipient respective language in real time, sending, and automatically decrypting encrypted translated message by the user device (130), to display the plurality of messages in the respective language on the display interface (145) of the user device (130).

Implementations described herein relate to methods, systems, and computer-readable media to provide automatic translation of voice chat in virtual experiences. The automatic translation may retain context data and / or emotion data extracted from input speech received from a first user. The context data and / or emotion data may be used in translating the input speech into a second language for output to a second user at a user device.

The application discloses a kind of X-ray detection device and method of product detection equipment technical field, the device includes detection mechanism and article placing platform mechanism.Detection mechanism includes upper and lower X-ray source and X-ray sensor.Article placing platform mechanism includes: article placing fixture and detection translation component, article placing fixture is used to fix the detected piece, and detection translation component includes: detection mounting seat, translation adapter plate, translation base plate and translation drive module.Detection mounting seat, translation adapter plate, the layer structure of translation base plate is equipped with the position-avoiding hole that passes through up and down, and projection position is nested layer by layer.Translation drive module is used to drive detection mounting seat and translation adapter plate respectively along left and right direction and front and back direction move.In the X-ray detection device of the application, the automatic translation and overturn of the detected piece, so as to realize the high-precision multi-position, multi-angle automatic detection, significantly improve the detection efficiency and degree of automation.

The utility model discloses a pipeline butt joint structure of an internal pulling device, which comprises a base, an automatic translation positioning butt joint device used for improving pipeline positioning butt joint stability is arranged on the outer surface of the upper end of the base, the automatic translation positioning butt joint device comprises a mounting seat, and a sliding groove is formed in the middle of the outer surface of the upper end of the mounting seat. A guide sliding rail is arranged on the inner surface of the lower end of the mounting base, and a case is arranged on the outer surface of one side of the mounting base. According to the pipeline butt-joint structure of the internal pulling device, the automatic translation positioning butt-joint device is arranged, the structure is simple, the automation degree is high, automatic butt-joint translation of pipelines can be achieved, time and labor are saved, a large amount of manpower and time are saved, labor intensity is lowered, work efficiency can be improved, and the labor intensity is lowered. And the accuracy and stability of pipeline butt joint can be ensured, the problems of leakage and the like caused by inaccurate or unstable manual operation are avoided, and the butt joint quality is improved.

The invention discloses a cross-border e-commerce platform operation system and method supporting multi-language automatic translation, and relates to the technical field of automatic translation, and the method comprises the steps: integrating multi-modal data, including text description, commodity pictures, videos and audios, through a deep learning model, forming a comprehensive data structure, inputting the comprehensive data structure into a multi-modal fusion translation model after intelligent pre-processing, and carrying out the multi-modal fusion translation model; and generating a translation result. The block chain technology is used for verifying and recording the translation result, and tampering resistance and traceability are ensured. The translation model is optimized according to user feedback, a multi-language interface and operation prompts are dynamically adjusted, and personalized experience is provided. According to the method, the problems of difficulty in multi-modal information fusion, irrelevant information interference, insufficient semantic understanding and the like are effectively solved, and the translation accuracy and the user experience are remarkably improved.