Intelligent translation method and system based on Bluetooth driving

Abstract

The invention discloses an intelligent translation method and system based on Bluetooth driving, and the method comprises the steps: achieving the connection between hardware equipment and a target user terminal through Bluetooth driving, detecting the translation demands of a target user through the hardware equipment, and collecting voice data through the target user terminal based on the translation demands; determining a translation state parameter according to a translation demand of the target user, and performing cross-language translation on the voice data through the cloud server based on the translation state parameter; obtaining a translated text according to the translation result, carding the translated text, obtaining an operation demand of the target user, and determining a platform window for translation according to the operation demand; and automatically copying the translation text through the terminal APP and automatically pasting the translation text to a translation platform window opened based on the target user. According to the method, rapid, accurate and efficient translation work can be performed based on the cloud server, the translation efficiency is improved, meanwhile, the problem of advanced translation permission of each platform window is solved, benchmark translation is realized, and the practicability is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of remote translation, and particularly to an intelligent translation method and system based on Bluetooth drive. Background Art

[0002] At present, with the acceleration of the globalization process, the demand for cross-language communication is increasing day by day. Traditional translation methods rely on manual translation or offline translation devices, which have problems such as low efficiency, poor real-time performance, and insufficient portability. In recent years, intelligent translation devices have gradually become popular, but the existing technologies still face the following challenges: existing translation devices rely on the Internet or local databases, with slow processing speeds, making it difficult to meet the needs of real-time conversations, and online translation in each chat window requires advanced permissions, which limits the translation threshold and reduces the practicality. Bluetooth technology, as a low-power, short-distance wireless communication technology, has been widely used in data transmission between intelligent devices. However, the existing Bluetooth technology is mainly used for audio transmission and device control, and has not been fully applied to the field of intelligent translation. Therefore, applying Bluetooth technology to the translation business has become a popular research work. Summary of the Invention

[0003] In view of the problems shown above, the present invention provides an intelligent translation method and system based on Bluetooth drive to achieve efficient communication between devices through Bluetooth technology, and combines a cloud translation engine and speech recognition technology to improve the real-time performance and accuracy of translation, so as to solve the problems that existing translation devices in the background art rely on the Internet or local databases, have slow processing speeds, are difficult to meet the needs of real-time conversations, and online translation in each chat window requires advanced permissions, which limits the translation threshold and reduces the practicality.

[0004] An intelligent translation method based on Bluetooth drive includes the following steps:

[0005] Connect a hardware device to a target user terminal through Bluetooth drive, detect the translation needs of the target user by using the hardware device, and collect voice data through the target user terminal based on the translation needs;

[0006] Determine translation status parameters according to the translation needs of the target user, and perform cross-language translation on the voice data through a cloud server based on the translation status parameters;

[0007] Obtain a translation text according to the translation result, sort out the translation text, obtain the operation needs of the target user, and determine a translation platform window according to the operation needs;

[0008] Automatically copy the translation text through a terminal APP and automatically paste it into the translation platform window opened by the target user.

[0009] Preferably, the connection between the hardware device and the target user terminal is achieved through Bluetooth driving. The hardware device is used to detect the translation needs of the target user, and based on the translation needs, voice data is collected through the target user terminal, including:

[0010] Start the built-in Bluetooth module of the target user terminal, and use the built-in Bluetooth module to connect the hardware device and the target user terminal through device pairing;

[0011] Use the hardware device to detect the key operation parameters of the target user, and analyze the key operation parameters to determine whether the target user issues a translation need;

[0012] If so, generate a translation instruction through the hardware device and transmit the translation instruction to the target user terminal, activate the microphone usage permission of the target user terminal, and collect the voice data of the target user through the terminal microphone. Perform noise reduction preprocessing on the voice data to obtain the collected voice data.

[0013] Preferably, the translation status parameter is determined according to the translation needs of the target user, and the voice data is translated across languages through the cloud server based on the translation status parameter, including:

[0014] Obtain the interactive voice data of the target user, analyze the interactive voice data through speech recognition technology and natural language processing technology, and determine the translation needs of the target user according to the analysis results;

[0015] Determine the language to be translated, translation process parameters, and translation result parameters according to the translation needs, and determine the translation status parameter according to the translation process parameters and translation result parameters;

[0016] Determine the logical conversion relationship between the current language and the language to be translated according to the translation status parameter, and perform recognition and analysis on the voice data through a lightweight speech recognition model to obtain the text to be translated;

[0017] Perform cross-language translation on the text to be translated through the cloud server based on the logical conversion relationship to obtain the translation result.

[0018] Preferably, the translation text is obtained according to the translation result, the translation text is sorted out, the operation needs of the target user are obtained, and the translation platform window is determined according to the operation needs, including:

[0019] Obtain the translation voice data according to the translation result, and perform recognition and analysis on the voice data through a lightweight speech recognition model to obtain the translation text;

[0020] Invoke the word order sorting model of the language to be translated, and sort out the translation text according to the word order translation logic of the language to be translated through the word order sorting model to generate the first sorted text;

[0021] Obtain the text length of the first sorted text, paginate the sorted text according to the text length, and obtain the second sorted text;

[0022] Determine the business channels and business objectives of the target user for the translated content, determine the operation requirements of the target user according to the business channels and business objectives, and determine the chat platform to be operated and its platform window according to the operation requirements.

[0023] Preferably, the automatic copying and pasting of the translated text into the translation platform window opened by the target user through the terminal APP includes:

[0024] Obtain the length parameter of the translated text, and determine the number of copies and the content of each copy based on the length parameter and the maximum amount of text copied at one time;

[0025] Automatically copy the translated text through the terminal APP based on the number of copies and the content of each copy and input it into the clipboard;

[0026] Identify the text feature of the title bar of the current window opened by the target user, and determine whether the current window is a translation platform window based on the text feature of the title bar through multi-modal recognition technology;

[0027] If so, confirm the trigger of the paste instruction, and automatically paste the copied content in the clipboard into the current window. If not, confirm that the paste instruction is not triggered.

[0028] An intelligent translation system based on Bluetooth drive, the system includes:

[0029] A collection module, used to connect the hardware device to the target user's terminal through Bluetooth drive, detect the translation needs of the target user using the hardware device, and collect voice data through the target user's terminal based on the translation needs;

[0030] A translation module, used to determine the translation status parameters according to the translation needs of the target user, and perform cross-language translation on the voice data through the cloud server based on the translation status parameters;

[0031] A determination module, used to obtain the translated text according to the translation result, sort the translated text, obtain the operation requirements of the target user, and determine the translation platform window according to the operation requirements;

[0032] An automatic copy and paste module, used to automatically copy and paste the translated text into the translation platform window opened by the target user through the terminal APP.

[0033] Preferably, the collection module includes:

[0034] A connection sub-module for starting the built-in Bluetooth module of the target user terminal, and realizing the connection between the hardware device and the target user terminal by means of device pairing using the built-in Bluetooth module;

[0035] An analysis sub-module for detecting the key operation parameters of the target user by using the hardware device, and analyzing the key operation parameters to determine whether the target user issues a translation requirement;

[0036] A collection sub-module for, if so, generating a translation instruction through the hardware device and transmitting the translation instruction to the target user terminal, activating the microphone usage permission of the target user terminal and collecting the voice data of the target user through the terminal microphone, and performing noise reduction preprocessing on the voice data to obtain the collected voice data.

[0037] Preferably, the translation module includes:

[0038] An analysis sub-module for obtaining the interactive voice data of the target user, analyzing the interactive voice data through speech recognition technology and natural language processing technology, and determining the translation requirement of the target user according to the analysis result;

[0039] A first determination sub-module for determining the language to be translated, translation process parameters, and translation result parameters according to the translation requirement, and determining the translation status parameters according to the translation process parameters and translation result parameters;

[0040] A first recognition sub-module for determining the logical conversion relationship between the current language and the language to be translated according to the translation status parameters, and performing recognition and analysis on the voice data through a lightweight speech recognition model to obtain the text to be translated;

[0041] A translation sub-module for performing cross-language translation on the text to be translated through a cloud server based on the logical conversion relationship to obtain a translation result.

[0042] Preferably, the determination module includes:

[0043] A second recognition sub-module for obtaining the translation voice data according to the translation result, and performing recognition and analysis on the voice data through a lightweight speech recognition model to obtain the translation text;

[0044] A first sorting sub-module for retrieving the word order sorting model of the language to be translated, and sorting the translation text according to the word order translation logic of the language to be translated through the word order sorting model to generate a first sorted text;

[0045] A second sorting sub-module for obtaining the text length of the first sorted text, and performing pagination processing on the sorted text according to the text length to obtain a second sorted text;

[0046] The second stator module is used to determine the business channels and business objectives of the target user for the translated content, determine the operation requirements of the target user according to the business channels and business objectives, and determine the chat platform to be operated and its platform window according to the operation requirements.

[0047] Preferably, the automatic copy and paste module includes:

[0048] The third determination sub-module is used to obtain the length parameter of the translated text, and determine the number of copies and the content of each copy based on the length parameter and the maximum amount of text that can be copied at one time;

[0049] The automatic copy sub-module is used to automatically copy the translated text through the terminal APP based on the number of copies and the content of each copy and input it into the clipboard;

[0050] The fourth determination sub-module is used to identify the text feature of the title bar of the current window opened by the target user, and determine whether the current window is a translation platform window based on the text feature of the title bar through multi-modal recognition technology;

[0051] The automatic paste sub-module is used to, if so, confirm the trigger of the paste instruction, and automatically paste the copied content in the clipboard into the current window based on the paste instruction, and if not, confirm that the paste instruction is not triggered.

[0052] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in the written specification and the drawings.

[0053] The technical solutions of the present invention will be further described in detail below through the drawings and embodiments. Description of the Drawings

[0054] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention.

[0055] Figure 1 It is a working flowchart of an intelligent translation method based on Bluetooth drive provided by the present invention;

[0056] Figure 2 It is another working flowchart of an intelligent translation method based on Bluetooth drive provided by the present invention;

[0057] Figure 3 It is a structural schematic diagram of an intelligent translation system based on Bluetooth drive provided by the present invention;

[0058] Figure 4Schematic diagram of the structure of the translation module in an intelligent translation system provided by the present invention based on Bluetooth drive. Detailed implementation manners

[0059] Here, exemplary embodiments will be described in detail, and examples thereof are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present disclosure. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0060] Currently, with the acceleration of the globalization process, the demand for cross - language communication is increasing day by day. Traditional translation methods rely on manual translation or offline translation devices, which have problems such as low efficiency, poor real - time performance, and insufficient portability. In recent years, intelligent translation devices have gradually become popular, but the existing technologies still face the following challenges: existing translation devices rely on the Internet or local databases, with slow processing speeds, making it difficult to meet the needs of real - time conversations. Moreover, online translation within each chat window requires advanced permissions, which limits the translation threshold and reduces usability. Bluetooth technology, as a low - power, short - distance wireless communication technology, has been widely used in data transmission between intelligent devices. However, the existing Bluetooth technology is mainly used for audio transmission and device control and has not been fully applied to the field of intelligent translation. Therefore, applying Bluetooth technology to the translation business has become a popular research work. To solve the above problems, this embodiment discloses an intelligent translation method based on Bluetooth drive.

[0061] An intelligent translation method based on Bluetooth drive, as Figure 1 shown, includes the following steps:

[0062] Step S101: Connect the hardware device to the target user terminal through Bluetooth drive, detect the translation needs of the target user by using the hardware device, and collect voice data through the target user terminal based on the translation needs.

[0063] Step S102: Determine the translation status parameters according to the translation needs of the target user, and perform cross - language translation on the voice data through the cloud server based on the translation status parameters.

[0064] Step S103: Obtain the translation text according to the translation result, sort out the translation text, obtain the operation needs of the target user, and determine the translation - using platform window according to the operation needs.

[0065] Step S104: Automatically copy the translation text through the terminal APP and automatically paste it into the translation - using platform window opened by the target user.

[0066] In this embodiment, the hardware device is represented as a hardware handheld device that connects to the user's mobile phone terminal via Bluetooth.

[0067] The working principle of the above technical solution is as follows: The connection between the hardware device and the target user terminal is achieved through Bluetooth drive. The hardware device is used to detect the translation needs of the target user, and based on the translation needs, voice data is collected through the target user terminal. The translation status parameters are determined according to the translation needs of the target user, and the voice data is translated across languages through the cloud server based on the translation status parameters. The translation text is obtained according to the translation result, the translation text is sorted out, the operation needs of the target user are obtained, and the translation platform window is determined according to the operation needs. The translation text is automatically copied and automatically pasted into the translation platform window opened by the target user through the terminal APP.

[0068] The beneficial effects of the above technical solution are as follows: By using the Bluetooth drive method to realize the translation work of the user terminal and then combining with the online APP to automatically copy and paste into each chat window, fast, accurate and efficient translation work can be carried out based on the cloud server, which improves the translation efficiency. At the same time, it also overcomes the problem of the advanced translation permissions of each platform window, realizes the benchmark translation, improves the practicability, and solves the problems mentioned in the prior art that the existing translation devices rely on the Internet or local databases, the processing speed is slow, it is difficult to meet the needs of real-time conversations, and online translation in each chat window requires advanced permissions, which limits the translation threshold and reduces the practicability.

[0069] In one embodiment, the connection between the hardware device and the target user terminal is achieved through Bluetooth drive, the hardware device is used to detect the translation needs of the target user, and voice data is collected through the target user terminal based on the translation needs, including:

[0070] The built-in Bluetooth module of the target user terminal is started, and the connection between the hardware device and the target user terminal is achieved through device pairing by using the built-in Bluetooth module;

[0071] The key operation parameters of the target user are detected by using the hardware device, and the key operation parameters are analyzed to determine whether the target user issues a translation need;

[0072] If so, a translation instruction is generated by the hardware device and transmitted to the target user terminal, the microphone usage permission of the target user terminal is activated, and the voice data of the target user is collected through the terminal microphone, and the collected voice data is obtained by performing noise reduction preprocessing on the voice data.

[0073] The beneficial effects of the above technical solution are as follows: By using a hardware device to determine the user's translation needs, it is possible to intuitively determine the translation needs based on the user's key operations on the hardware device, improving the determination accuracy. Further, by collecting voice data and performing noise reduction processing, the high quality of the voice data can be ensured, guaranteeing the translation value of the data.

[0074] In this embodiment, a hardware device is used to detect the key operation parameters of the target user, and the key operation parameters are parsed to determine whether the target user issues a translation requirement, including:

[0075] Determine the first touch data of the touch detection layer of the voice collection trigger key of the hardware device, the second touch data of the shallow press layer, and the third touch data of the deep press layer;

[0076] According to the first touch data, the second touch data, and the third touch data, determine the mapping logic parameters between the key induction signal and the voice collection switch control signal of the hardware device;

[0077] Based on the mapping logic parameters, determine the key determination factors for the user to issue a translation requirement, and based on the key determination factors, determine the reference force application point of the voice collection trigger key and the force rotation and scaling factor at the reference force application point;

[0078] According to the force rotation and scaling factor, determine the reference pressure data range of the voice collection trigger key when the user issues a translation requirement;

[0079] Determine the key attributes of the voice collection trigger key, where the key attributes include: physical keys and capacitive keys;

[0080] Based on the key attributes, determine the deformation factors of the voice collection trigger key, and according to the deformation factors, determine the multi-level feedback signals of the voice collection trigger key under different touch forces;

[0081] According to the multi-level feedback signals and the reference pressure data range of the voice collection trigger key when the user issues a translation requirement, determine the pressing state parameters and vibration feedback parameters when the target user issues a translation requirement;

[0082] Based on the pressing state parameters and the vibration feedback parameters, determine the reference damping value of the finger tissue and the deformation elasticity value of the finger tissue when the target user issues a translation requirement;

[0083] Based on the reference damping value of the finger tissue and the deformation elasticity value of the finger tissue, generate an evaluation strategy when the target user issues a translation requirement;

[0084] Parse the key operation parameters of the target user through the evaluation strategy, and determine whether the target user issues a translation requirement according to the parsing result.

[0085] The beneficial effects of the above technical solution are as follows: By determining the key attributes, the pressing state parameters of the key and the vibration feedback parameters of the key when the user's translation requirement is accurately judged are used to determine the evaluation strategy, and the determination strategy can be intuitively and accurately generated according to the determination parameters, thus ensuring the stability and accuracy of subsequent determination. Combining the damping change and deformation when the user's finger presses the key can more accurately evaluate the user's translation requirement, improving the accuracy and objectivity of the determination.

[0086] In one embodiment, as Figure 2 shown, determining the translation state parameters according to the translation requirement of the target user and performing cross-language translation on the voice data through the cloud server based on the translation state parameters includes:

[0087] Step S201: Obtain the interactive voice data of the target user, analyze the interactive voice data through speech recognition technology and natural language processing technology, and determine the translation requirement of the target user according to the analysis result;

[0088] Step S202: Determine the language to be translated, translation process parameters, and translation result parameters according to the translation requirement, and determine the translation state parameters according to the translation process parameters and translation result parameters;

[0089] Step S203: Determine the logical conversion relationship between the current language and the language to be translated according to the translation state parameters, perform recognition and analysis on the voice data through a lightweight speech recognition model, and obtain the text to be translated;

[0090] Step S204: Perform cross-language translation on the text to be translated through the cloud server based on the logical conversion relationship to obtain the translation result.

[0091] The beneficial effects of the above technical solution are as follows: By determining the translation state parameters, the requirements of the user for the translation content can be accurately determined, thus realizing accurate cross-language translation and ensuring the high accuracy of the translation result. Further, by determining the logical conversion relationship, the translation adaptability between the translation result and the original language can be further ensured, improving the translation stability and reliability.

[0092] In one embodiment, obtaining the translation text according to the translation result, sorting out the translation text, obtaining the operation requirement of the target user, and determining the translation platform window according to the operation requirement includes:

[0093] Obtain the translation voice data according to the translation result, perform recognition and analysis on the voice data through a lightweight speech recognition model, and obtain the translation text;

[0094] Invoke the word order sorting model of the language to be translated, and sort out the translation text according to the word order translation logic of the language to be translated through the word order sorting model to generate the first sorted text;

[0095] Obtain the text length of the first sorted text, perform paging processing on the sorted text according to the text length, and obtain the second sorted text;

[0096] Determine the business channels and business objectives of the target user for the translated content, determine the operation requirements of the target user according to the business channels and business objectives, and determine the chat platform to be operated and its platform window according to the operation requirements.

[0097] The beneficial effects of the above technical solutions are as follows: By sorting the translated text, the logical correctness and overall integrity of the translation result can be ensured. Further, by determining the business channels and business objectives to determine the chat platform window, the chat platform window can be intuitively determined according to the software business objectives.

[0098] In one embodiment, the automatic copying of the translated text by the terminal APP and automatically pasting it into the translation platform window opened by the target user includes:

[0099] Obtain the length parameter of the translated text, and determine the number of copies and the content of each copy based on the length parameter and the maximum amount of text copied at one time;

[0100] Automatically copy the translated text through the terminal APP based on the number of copies and the content of each copy and input it into the clipboard;

[0101] Identify the text feature of the title bar of the current window opened by the target user, and determine whether the current window is a translation platform window based on the text feature of the title bar through multi-modal recognition technology;

[0102] If so, confirm to trigger the paste instruction, and automatically paste the copied content in the clipboard into the current window. If not, confirm that the paste instruction is not triggered.

[0103] The beneficial effects of the above technical solutions are as follows: It can ensure the comprehensive copying integrity of the translated text, avoid content omission, improve the practicability and stability. Further, by using multi-modal recognition technology to identify the platform window, it can accurately determine whether the target user has accurately opened the translation platform window.

[0104] In one embodiment, this embodiment also discloses an intelligent translation system based on Bluetooth drive, as Figure 3 shown. This system includes:

[0105] A collection module 301, which is used to connect the hardware device with the target user's terminal through Bluetooth drive, detect the translation needs of the target user by using the hardware device, and collect voice data through the target user's terminal based on the translation needs;

[0106] The translation module 302 is configured to determine translation status parameters according to the translation requirements of the target user, and perform cross-lingual translation on the voice data through a cloud server based on the translation status parameters;

[0107] The determination module 303 is configured to obtain a translation text according to the translation result, sort out the translation text, obtain the operation requirements of the target user, and determine a platform window for translation according to the operation requirements;

[0108] The automatic copy and paste module 304 is configured to automatically copy the translation text through the terminal APP and automatically paste it into the platform window for translation opened by the target user.

[0109] The working principle and beneficial effects of the above technical solution have been described in the method embodiment, and will not be elaborated here.

[0110] In one embodiment, the acquisition module includes:

[0111] The connection sub-module is configured to activate the built-in Bluetooth module of the target user's terminal, and use the built-in Bluetooth module to connect the hardware device to the target user's terminal through device pairing;

[0112] The parsing sub-module is configured to detect the key operation parameters of the target user by using the hardware device, and parse the key operation parameters to determine whether the target user issues a translation requirement;

[0113] The acquisition sub-module is configured to, if so, generate a translation instruction through the hardware device and transmit the translation instruction to the target user's terminal, activate the microphone usage permission of the target user's terminal, and collect the voice data of the target user through the terminal microphone, and perform noise reduction preprocessing on the voice data to obtain the collected voice data.

[0114] In one embodiment, as Figure 4 shown, the translation module 302 includes:

[0115] The analysis sub-module 3021 is configured to obtain the interactive voice data of the target user, analyze the interactive voice data through speech recognition technology and natural language processing technology, and determine the translation requirements of the target user according to the analysis result;

[0116] The first determination sub-module 3022 is configured to determine the language to be translated, translation process parameters, and translation result parameters according to the translation requirements, and determine translation status parameters according to the translation process parameters and translation result parameters;

[0117] The first recognition sub-module 3023 is configured to determine the logical conversion relationship between the current language and the language to be translated according to the translation status parameters, and perform recognition and analysis on the voice data through a lightweight speech recognition model to obtain the text to be translated;

[0118] The translation sub-module 3024 is used to perform cross-language translation on the text to be translated through a cloud server based on a logical conversion relationship, and obtain a translation result.

[0119] In one embodiment, the determination module includes:

[0120] The second recognition sub-module is used to obtain translation voice data according to the translation result, perform recognition and analysis on the voice data through a lightweight speech recognition model, and obtain a translation text;

[0121] The first sorting sub-module is used to retrieve a word order sorting model for the language to be translated, and sort the translation text according to the word order translation logic of the language to be translated through the word order sorting model to generate a first sorted text;

[0122] The second sorting sub-module is used to obtain the text length of the first sorted text, perform paging processing on the sorted text according to the text length, and obtain a second sorted text;

[0123] The second stator sub-module is used to determine the business approach and business objective of the target user for the translation content, determine the operation requirements of the target user according to the business approach and business objective, and determine the chat platform to be operated and its platform window according to the operation requirements.

[0124] In one embodiment, the automatic copy and paste module includes:

[0125] The third determination sub-module is used to obtain the length parameter of the translation text, and determine the number of copies and the content of each copy based on the length parameter and the maximum amount of text copied at one time;

[0126] The automatic copy sub-module is used to automatically copy the translation text through the terminal APP based on the number of copies and the content of each copy and input it into the clipboard;

[0127] The fourth determination sub-module is used to identify the text feature of the title bar of the current window opened by the target user, and determine whether the current window is a platform window for translation based on the text feature of the title bar through multi-modal recognition technology;

[0128] The automatic paste sub-module is used to, if so, confirm the trigger of the paste instruction, and automatically paste the copied content in the clipboard into the current window based on the paste instruction, and if not, confirm that the paste instruction is not triggered.

[0129] Those skilled in the art should understand that the first and second in the present invention refer to different application stages.

[0130] Other embodiments of the present disclosure will be readily apparent to those skilled in the art in view of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common general knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and examples are only to be considered as exemplary, and the true scope and spirit of the present disclosure are pointed out by the following claims.

[0131] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. An intelligent translation method based on Bluetooth drive, characterized in that, Including the following steps: Implement the connection between the hardware device and the target user terminal through Bluetooth driver, use the hardware device to detect the translation needs of the target user, and collect voice data through the target user terminal based on the translation needs; Determine the translation status parameters according to the translation needs of the target user, and perform cross-language translation on the voice data through the cloud server based on the translation status parameters; Obtain the translation text according to the translation result, sort out the translation text, obtain the operation requirements of the target user, and determine the platform window for translation according to the operation requirements; Automatically copy the translation text through the terminal APP and automatically paste it into the platform window for translation opened by the target user.

2. The intelligent translation method based on Bluetooth drive according to claim 1, wherein The implementation of the connection between the hardware device and the target user terminal through Bluetooth driver, using the hardware device to detect the translation needs of the target user, and collecting voice data through the target user terminal based on the translation needs includes: Start the built-in Bluetooth module of the target user terminal, and use the built-in Bluetooth module to implement the connection between the hardware device and the target user terminal through device pairing; Use the hardware device to detect the key operation parameters of the target user, and analyze the key operation parameters to determine whether the target user issues a translation need; If so, generate a translation instruction through the hardware device and transmit the translation instruction to the target user terminal, activate the microphone usage permission of the target user terminal, and collect the voice data of the target user through the terminal microphone, and perform noise reduction preprocessing on the voice data to obtain the collected voice data.

3. The intelligent translation method based on Bluetooth drive according to claim 1, characterized in that The determination of the translation status parameters according to the translation needs of the target user, and the cross-language translation of the voice data through the cloud server based on the translation status parameters includes: Obtain the interactive voice data of the target user, analyze the interactive voice data through speech recognition technology and natural language processing technology, and determine the translation needs of the target user according to the analysis results; Determine the language to be translated, translation process parameters and translation result parameters according to the translation needs, and determine the translation status parameters according to the translation process parameters and translation result parameters; Determine the logical conversion relationship between the current language and the language to be translated according to the translation status parameters, and perform recognition and analysis on the voice data through a lightweight speech recognition model to obtain the text to be translated; Perform cross-language translation on the text to be translated through the cloud server based on the logical conversion relationship to obtain the translation result.

4. The intelligent translation method based on Bluetooth drive according to claim 1, wherein The obtaining of the translation text according to the translation result, sorting out the translation text, obtaining the operation requirements of the target user, and determining the platform window for translation according to the operation requirements includes: Obtain the translation voice data according to the translation result, and perform recognition and analysis on the voice data through a lightweight speech recognition model to obtain the translation text; Invoke the word order sorting model of the language to be translated, and sort out the translation text according to the word order translation logic of the language to be translated through the word order sorting model to generate the first sorted text; Obtain the text length of the first sorted text, perform paging processing on the sorted text according to the text length to obtain the second sorted text; Determine the business channels and business goals of the target user for the translation content, determine the operation requirements of the target user according to the business channels and business goals, and determine the chat platform to be operated and its platform window according to the operation requirements.

5. The intelligent translation method based on Bluetooth drive according to claim 1, characterized in that Automatically copying the translated text through the terminal APP and automatically pasting it into the translation platform window opened by the target user, including: Obtaining the length parameter of the translated text, and determining the number of copies and the content of each copy based on the length parameter and the maximum amount of text copied at one time; Automatically copying the translated text through the terminal APP based on the number of copies and the content of each copy and inputting it into the clipboard; Identifying the text feature of the title bar of the currently opened window of the target user, and determining whether the current window is a translation platform window based on the text feature of the title bar through multimodal recognition technology; If so, confirming to trigger the paste instruction, and automatically pasting the copied content in the clipboard into the current window based on the paste instruction. If not, confirming that the paste instruction is not triggered.

6. An intelligent translation system based on Bluetooth drive, characterized in that, The system includes: A collection module, which is used to connect the hardware device to the target user's terminal through Bluetooth drive, detect the translation needs of the target user by using the hardware device, and collect voice data through the target user's terminal based on the translation needs; A translation module, which is used to determine the translation status parameter according to the translation needs of the target user, and perform cross-language translation on the voice data through the cloud server based on the translation status parameter; A determination module, which is used to obtain the translated text according to the translation result, sort out the translated text, obtain the operation needs of the target user, and determine the translation platform window according to the operation needs; An automatic copy and paste module, which is used to automatically copy the translated text through the terminal APP and automatically paste it into the translation platform window opened by the target user.

7. The intelligent translation system based on Bluetooth drive according to claim 6, wherein The collection module includes: A connection sub-module, which is used to start the built-in Bluetooth module of the target user's terminal, and use the built-in Bluetooth module to connect the hardware device to the target user's terminal through device pairing; An analysis sub-module, which is used to detect the key operation parameters of the target user by using the hardware device, and analyze the key operation parameters to determine whether the target user issues a translation need; A collection sub-module, which is used to, if so, generate a translation instruction through the hardware device and send the translation instruction to the target user's terminal, activate the microphone usage permission of the target user's terminal, and collect the voice data of the target user through the terminal microphone, and perform noise reduction preprocessing on the voice data to obtain the collected voice data.

8. The intelligent translation system based on Bluetooth drive according to claim 6, wherein The translation module includes: An analysis sub-module, which is used to obtain the interactive voice data of the target user, analyze the interactive voice data through speech recognition technology and natural language processing technology, and determine the translation needs of the target user according to the analysis result; A first determination sub-module, which is used to determine the language to be translated, the translation process parameter and the translation result parameter according to the translation needs, and determine the translation status parameter according to the translation process parameter and the translation result parameter; A first recognition sub-module, which is used to determine the logical conversion relationship between the current language and the language to be translated according to the translation status parameter, and perform recognition and analysis on the voice data through a lightweight speech recognition model to obtain the text to be translated; A translation sub-module, which is used to perform cross-language translation on the text to be translated through the cloud server based on the logical conversion relationship to obtain the translation result.

9. The intelligent translation system based on Bluetooth drive according to claim 6, characterized in that, The determination module includes: The second recognition sub-module is used to obtain translation voice data according to the translation result, perform recognition and analysis on the voice data through a lightweight voice recognition model, and obtain the translation text; The first sorting sub-module is used to retrieve the word order sorting model of the language to be translated, and sort the translation text according to the word order translation logic of the language to be translated through the word order sorting model to generate the first sorted text; The second sorting sub-module is used to obtain the text length of the first sorted text, perform paging processing on the sorted text according to the text length, and obtain the second sorted text; The second stator sub-module is used to determine the business channels and business objectives of the target user for the translation content, determine the operation requirements of the target user according to the business channels and business objectives, and determine the chat platform to be operated and its platform window according to the operation requirements.

10. The intelligent translation system based on Bluetooth drive according to claim 6, characterized in that, The automatic copy and paste module includes: The third determination sub-module is used to obtain the length parameter of the translation text, and determine the number of copies and the content of each copy based on the length parameter and the maximum amount of text that can be copied at one time; The automatic copy sub-module is used to automatically copy the translation text through the terminal APP based on the number of copies and the content of each copy and input it into the clipboard; The fourth determination sub-module is used to identify the text feature of the title bar of the current window opened by the target user, and determine whether the current window is a translation platform window based on the text feature of the title bar through multi-modal recognition technology; The automatic paste sub-module is used to, if so, confirm the trigger of the paste instruction, and automatically paste the copied content in the clipboard into the current window based on the paste instruction, and if not, confirm that the paste instruction has not been triggered.

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