70 results about "Automatic translation" patented technology

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 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 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.

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.

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.

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.

An object of a system according to an embodiment is to provide a travel plan customized in accordance with preferences and needs of a user.SOLUTION: A system includes a proposal unit, a translation unit, an association unit, a planning unit, and a support unit. The proposal unit analyzes a user's preference and a past travel history and proposes an individually customized travel plan. The translation unit automatically translates the language of the travel destination. The coping unit flexibly copes with an unexpected situation. The planner dynamically adjusts the trip plan according to the user's real-time needs. The support unit provides a plurality of supports to the user during the travel.SELECTED DRAWING: Figure 1

This disclosure provides an automatic translation method, apparatus, device, and medium for deep learning code. The method includes: acquiring source code written on a deep learning framework based on a first heterogeneous computing hardware; parsing the source code to extract its lexical sequence and program dependency graph; inputting the lexical sequence and program dependency graph into a graph-aware cross-attention Transformer model to generate a set of candidate target code that satisfies constraints of lexical consistency, structural consistency, and behavioral consistency; performing API-level replacement and reconstruction on the set of candidates through operator alignment mapping and symbol synthesis search; performing multi-dimensional consistency verification on the reconstructed candidate code; and outputting the verified target code. According to embodiments of this disclosure, the migration of deep learning code between different heterogeneous computing hardware eliminates the need for manual reconstruction and debugging, significantly shortening the adaptation cycle and reducing human resource investment and professional knowledge threshold.

The present application relates to the technical field of video data processing, and particularly relates to a subtitle automatic translation method and device based on a large model and a storage medium. The method comprises the following steps: obtaining subtitle data and video data and preprocessing 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 speech feature vector and a video feature vector, and performing feature fusion on the semantic vector, the speech feature vector and the video feature vector to construct a fused feature vector; constructing a professional term library and generating a preliminary translation result according to the fused feature vector; constructing a subtitle evaluation model according to the preliminary translation result to obtain an adapted subtitle. The present application realizes accurate translation of subtitle data in a video.

The present application discloses an AI-based method and system for automatically and synchronously translating an instant messaging message, a computer device, a storage medium, and a program product. The AI-based method and system for automatically and synchronously translating the instant messaging message is applied to an instant messaging system, and comprises: acquiring a first message text; uploading the first message text to an AI translation processing server; the AI translation processing server translating the first message text into a text in a preset target language, and obtaining a second message text on the basis of the text in the preset target language, wherein the preset target language is preset by a sending end and / or a target receiving end; and sending the second message text to the target receiving end. In the present application, the first text message is automatically translated into the target language, and is immediately sent to the target receiving end.

The utility model discloses an airtight automatic sliding door which comprises a door body. The door beam is fixed on a wall body, and the wall body is provided with a door opening; the door beam is provided with a driving mechanism, the driving mechanism is connected to the top of the door body, a door frame is arranged on the edge of the door opening, a sealing piece is arranged between the door body and the door frame, the door body is driven by the driving mechanism to horizontally move along the door beam, the door body and the door frame are closed through the sealing piece, and air tightness is improved. According to the sliding door, the door body can be driven by the driving mechanism to move automatically, and the air tightness of the sliding door during closing can be improved.

The application belongs to the technical field of automatic translation of texts, and discloses a personalized translation engine based on a large language model and a method for generating translated texts. The method comprises the following steps: obtaining a file to be translated; obtaining an auxiliary model; extracting a label from the file to be translated by using the auxiliary model, obtaining an optimal instruction set; and taking the optimal instruction set as a carrier of the personalized translation engine. The translation engine generated by the method for generating a personalized translation engine based on a large language model is used to translate a translation project file. The construction of the personalized translation engine is simpler and faster than that of a traditional method, and the overall translation accuracy is effectively improved by using the personalized translation engine for translation.

Provided is a webtoon automatic translation system using image information including: a webtoon providing terminal that, while providing a webtoon file containing both text and images to an automatic translation server, selects the language to be translated and receives the translated webtoon after the translation is completed; and an automatic translation server that, after receiving the webtoon file, extracts meta-information describing the images—including characters—in each cut containing dialogues, specifies the speaker for each text using the extracted meta-information, and translates the text by reflecting the meta-information that explains the specified speaker.

A system, apparatus, and method for providing an automated translation engine for translating a prescription into a standardized format is generally disclosed. More particularly, embodiments described in this disclosure relate to a system, apparatus, and method for automatically receiving a prescription form, analyzing information provided on the prescription form, and translating the information into a standardized form that details medication information including medication administration directions that are easy for a reader to understand.

The utility model discloses an automatic translation cleaning device, which relates to the technical field of cleaning devices and comprises a translation mechanism for cleaning a wide plate heat exchanger, the translation mechanism comprises a longitudinal track, a longitudinal moving unit, a transverse track and a transverse moving unit, the longitudinal track is longitudinally arranged on the front side of the wide plate heat exchanger, and the transverse track is arranged on the rear side of the wide plate heat exchanger. The longitudinal moving unit moves up and down on the longitudinal track, and the transverse track is fixed at the front end of the longitudinal moving unit and synchronously slides up and down along with the longitudinal moving unit. By arranging the longitudinal moving unit and the transverse moving unit, the spraying cleaning device can be driven to walk and clean on the front side of the wide-plate heat exchanger, so that automatic layer-by-layer cleaning of the wide-plate heat exchanger is realized, the walking speed is adjustable, the cleaning speed is greatly improved, the cleaning time is shortened, and the cleaning efficiency is improved. And the rapid cleaning requirement of large-scale industrial production is met.

A method comprising using at least one hardware processor to: receive instruction to generate a particular type of document comprising a plurality of containers, and wherein the document has a primary language and a secondary language; generate the document with the plurality of containers; receive text in either the primary language for certain of the plurality of containers; populate the text into the corresponding containers of the plurality of containers; automatically translate the text into the secondary language and populate the translated text into the corresponding containers of the plurality of containers; and present the test to a user via a user interface for review and editing.

The application relates to the field of data processing and communication technology, and discloses a standardized implementation method of a dynamic automatic translation device, which comprises the following steps: constructing and analyzing a standard configuration model, generating an attribute dependency matrix, performing loop detection and topological sorting, generating a linear ordered execution sequence, presetting a class code skeleton and a runtime context, extracting a logic code set according to the sequence, applying a code synthesis equation to generate a composite logic source code, calling an instant compiler and an isolated class loader to convert the source code into a dynamic translation instance and perform atomic reference replacement, and feeding device original data into the instance to make the device original data flow in a logical path in a one-way manner in the runtime context to complete translation. Through the conversion of the interpretive execution into the compiled sequential execution, the application eliminates runtime dependency lookup, cooperates with the isolated loading and atomic replacement mechanism, realizes the independent running and smooth hot updating of the device logic, and improves the efficiency and stability of the heterogeneous protocol adaptation.

A formal automatic translation method of a state machine model comprises: adding a state model analysis structure corresponding to state transition data of a state machine model layer on the basis of a synchronous data flow layer to form an intermediate translation layer. The state transition data comprises current input values, a current state, a next state, current output values, state transition relationships and clock data. The state transition data and state machine structure data of the state machine model layer semantics are translated into state machine model data of the synchronous data flow layer semantics. The state machine model data of the synchronous data flow layer semantics is translated into state machine model data of C language semantics. The state machine translation method adopted by the present application keeps the semantics of each layer, simplifies the translation process from the state machine to the synchronous data flow language, makes the state machine be translated into a conditional block first, and then be translated into the synchronous data flow language, and further reduces the verification time of the state machine and improves the verification efficiency and accuracy.

The present invention relates to a system (1) which enables customer representatives to respond quickly and effectively to requests coming from written channels by using advanced features such as automatic response suggestions, mood analysis, language detection and automatic translation by means of artificial intelligence features integrated into written communication channels in the call centre sector.

The invention relates to the field of translation systems, in particular to an interactive English dialogue automatic translation analysis device and a use method thereof. The technical problem is that voice is directly output after being recognized, and when recognition processing is affected by environmental noise or pronunciation of a user or other reasons, a recognition result of a voice recognition device is wrong, resulting in low recognition accuracy. According to the technical scheme, the interactive English dialogue automatic translation analysis device comprises a feature extraction module, a feature matching module and a context analysis module; compared with the prior art that the recognition accuracy is low due to the fact that voice is directly output after being recognized and recognition processing is affected by external factors, the recognition result of a voice recognition device is wrong, the automatic translation analysis device analyzes the recognized result and judges the relation between words and statements, and the recognition accuracy is improved. Therefore, wrong words can be distinguished, the wrong words can be modified, and the accuracy of speech recognition is improved.

The application provides a protocol description tree-based encoding file generation, abnormality test and decoding method, and belongs to the technical field of communication protocol development.The application first defines the structure and field information of a communication protocol, constructs a graphical input interface for inputting the contents of frame structure, protocol, public enumeration and public structure;then, the frame structure, protocol and public structure are respectively constructed into a protocol description tree;secondly, the protocol description tree is traversed, and a large model processing interface is called in real time to automatically translate each field name into English;then, based on the constructed protocol description tree, the communication protocol encoding file generation, abnormality test and decoding functions are realized.The application realizes single-source definition through the construction of a graphical protocol description tree, solves the pain points of code and document inconsistency, multi-language collaboration difficulty and low test efficiency in special protocol development, and can provide technical support for the full-process automation of protocol definition, code generation, document output and test verification.