English verbal skill interactive training system integrating multi-scene adaptation and pragmatic analysis

Abstract

The invention discloses an English verbal skill interactive training system fusing multi-scene adaptation and pragmatic analysis, and relates to the field of English verbal skill training. Comprising a scene adaptation module, an agricultural product cross-border exclusive corpus module, an AI simulation actual combat interaction module, a multi-dimensional pragmatic analysis module, an intonation demonstration optimization module, a closed-loop intensive training module, a voice acquisition module and a display interaction module, the system comprises an agricultural product cross-border live broadcast sub-module, an English interview sub-module and a daily communication sub-module, and the agricultural product cross-border live broadcast sub-module is classified according to fruits and vegetables, grains and oils, eggs and milk and fresh foods; through the multi-dimensional pragmatic analysis module and the agricultural product professional information lexicon, it is ensured that the verbal skill of the user not only conforms to pragmatic rules and adapts to cross-culture scenes, but also can accurately transmit professional information, and compared with the prior art, the verbal skill expression accuracy and conversion guiding force are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to English dialogue training technology, in particular to an English dialogue interactive training system fusing multi-scene adaptation and pragmatic analysis. BACKGROUND

[0002] English dialogue interactive training refers to a special training mode that helps users practice English expression in simulated real communication scenarios through technical means such as human-computer interaction, scene simulation, and real-time feedback, so as to improve dialogue organization, context adaptation, and communication efficiency. The core role of English dialogue interactive training is to break the limitations of traditional English learning, which focuses on grammar and ignores application. Users can master English expression logic and skills in different scenarios through interactive practice, which is widely applicable to cross-border communication, job interviews, daily communication, and other scenarios, and provides English ability improvement for foreign trade personnel, students, and job seekers.

[0003] The existing English dialogue interactive training system generally has the core problem of single scene adaptation. Since the system focuses on general daily communication scenarios, it only provides basic general dialogue training such as greetings, shopping, and travel, lacks targeted design for professional scenarios such as cross-border live sales, English interviews, and business negotiations, and does not fully consider the differences in pragmatic rules, expression logic, and core needs in different scenarios. This problem directly leads to the system's inability to meet the differentiated training needs of users. Foreign trade personnel cannot practice professional dialogue such as product introduction, buyer Q&A, and conversion in cross-border live sales through the system, and students cannot improve their expression ability in self-introduction, professional Q&A, and career planning in English interviews. At the same time, single scene adaptation also causes a gap between training and actual application. Even if users complete the training through the system, the dialogue they master is still difficult to adapt to the communication needs of real professional scenarios, which not only fails to improve communication efficiency, but also may lead to communication errors due to dialogue inadaptation, affecting the actual needs of cross-border transaction completion, interview results, and other actual needs, which seriously limits the application range and practical value of English dialogue interactive training systems. SUMMARY

[0004] The purpose of the present application is to provide an English dialogue interactive training system fusing multi-scene adaptation and pragmatic analysis to solve the problem of single scene adaptation in the prior art English dialogue interactive training system, which lacks targeted design for professional scenarios such as cross-border live sales of agricultural products.

[0005] In order to achieve the above-mentioned purpose, the present application provides the following technical scheme: an English dialogue interactive training system fusing multi-scene adaptation and pragmatic analysis, comprising a scene adaptation module, an agricultural product cross-border exclusive corpus module, an AI simulated combat interaction module, a multi-dimensional pragmatic analysis module, a tone demonstration optimization module, a closed-loop reinforcement training module, a voice collection module, and a display interaction module.

[0006] The scene adaptation module interacts with the agricultural product cross-border exclusive corpus module in both directions, including an agricultural product cross-border live broadcast sub-module, an English interview sub-module, and a daily communication sub-module. The agricultural product cross-border live broadcast sub-module is subdivided into fruit and vegetable, grain and oil, egg and milk, and fresh food categories, and supports the selection of a target cross-border market.

[0007] The AI simulation interactive module interacts with the scene adaptation module in both directions, and has a multi-dimensional buyer portrait unit and a sudden scene simulation unit, which can generate English questions and sudden communication scenarios in the target scenario.

[0008] The voice collection module transmits data to the multi-dimensional pragmatic analysis module in one direction, which is used to collect user English response techniques in real time, and has an environmental noise reduction function.

[0009] The multi-dimensional pragmatic analysis module interacts with the scene adaptation module and the AI simulation interactive module in both directions, including a pragmatic function labeling unit, a scene adaptation degree analysis unit, a professional information matching unit, and a cross-cultural adaptation detection unit, which is used to analyze the user's speech in all dimensions.

[0010] The intonation demonstration optimization module transmits data to the multi-dimensional pragmatic analysis module in one direction, which is used to generate standard English intonation demonstration data and adjustment suggestions corresponding to the scene.

[0011] The closed-loop reinforcement training module interacts with the agricultural product cross-border exclusive corpus module, the multi-dimensional pragmatic analysis module, and the intonation demonstration optimization module in both directions, which is used to generate optimized speech according to the analysis results, and trigger secondary simulation and interactive training.

[0012] The display interaction module interacts with all the above modules in both directions, which is used to display scene options, corpus information, simulation interaction content, analysis results, optimized speech, and training progress.

[0013] Further, the agricultural product cross-border exclusive corpus module has a category subdivision standard speech library, an agricultural product professional information word library, and a cross-border market pragmatic rule library. The category subdivision standard speech library stores product introduction, buyer Q&A, and English speech for single conversion corresponding to the category. The agricultural product professional information word library includes standard English expressions of professional vocabulary such as origin traceability, growth cycle, nutritional ingredients, preservation technology, and quality inspection standards. The cross-border market pragmatic rule library includes consumer habits, taboo expressions, and communication preferences of different target markets.

[0014] Further, the multi-dimensional buyer portrait unit includes price sensitivity, quality concern, decision hesitation, and cross-cultural cognitive difference portraits, which can generate corresponding English questions. The sudden scenario simulation unit can simulate real communication scenarios such as dialect accent English questions, product quality queries, and cross-cultural custom-related questions.

[0015] Further, the pragmatic function labeling unit is used to label the pragmatic function type of the user's speech, the scenario adaptation degree analysis unit is used to analyze the matching degree of the user's speech and the selected scenario pragmatic rules, the professional information matching unit is used to detect whether the user's speech accurately embeds the professional information of agricultural products, and the cross-cultural adaptation detection unit is used to identify the cross-cultural expression risks that may exist in the user's speech.

[0016] Further, the intonation demonstration optimization module includes a scenario-based standard intonation audio library recorded by professional foreign teachers and a visual intonation curve generation unit, which can output targeted adjustment suggestions for stress position, speech speed control, and tone intensity according to scenario requirements.

[0017] Further, the closed-loop reinforcement training module includes a speech reconstruction unit and a secondary interaction triggering unit. The speech reconstruction unit generates 3-5 optimized speeches that embed professional information and adapt to scenario pragmatic rules based on multi-dimensional pragmatic analysis results. The secondary interaction triggering unit generates new simulated questions or scenarios based on the user's optimized speech to start a new round of training loop.

[0018] Further, the display interaction module supports user selection of agricultural product categories, target cross-border markets, and training difficulty levels. It can simultaneously display AI simulated question content, user speech text, multi-dimensional analysis report, standard intonation curve, and optimized speech example. It can also store historical training records and speech optimization comparison data.

[0019] Further, the agricultural product cross-border exclusive corpus module supports corpus updates. It can import new professional information of agricultural product categories, the latest pragmatic rules of target cross-border markets, and high-conversion speech cases through a data interface.

[0020] Further, the voice collection module has a sampling rate range of 16kHz-48kHz, supporting real-time voice collection and pre-recorded voice upload. The collected voice data is transmitted to the multi-dimensional pragmatic analysis module after noise reduction processing.

[0021] Further, the multi-dimensional pragmatic analysis module also has a built-in expression correction unit that can identify syntax errors, word misuse, and unnatural expression issues in the user's speech, and provide correction schemes that conform to the expression habits of the target scenario.

[0022] Compared with existing technologies, the English conversation interactive training system provided by this invention, which integrates multi-scenario adaptation and pragmatic analysis, has the following beneficial effects:

[0023] 1. This invention designs a dedicated scenario for cross-border live streaming of agricultural products and a category-specific corpus to accurately adapt to the cross-border promotion needs of agricultural products such as fruits, vegetables, grains and oils, solving the problem of the single scenario in existing systems and improving the scenario adaptability of training compared with existing technologies.

[0024] 2. This invention uses AI to simulate multi-dimensional buyer profiles and unexpected communication scenarios to achieve "real-world" interactive training, allowing users to improve their communication skills in simulated real cross-border transactions, interviews and other scenarios, thus enhancing the practicality of the training compared to existing technologies.

[0025] 3. This invention, through a multi-dimensional pragmatic analysis module and a professional information lexicon for agricultural products, ensures that user statements not only conform to pragmatic rules and are adapted to cross-cultural scenarios, but also accurately convey professional information. Compared with existing technologies, it improves the accuracy of expression and conversion guidance of statements. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0027] Figure 1 This is a schematic diagram of the overall process provided for an embodiment of the present invention. Detailed Implementation

[0028] To enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0029] As attached Figure 1 As shown:

[0030] Example 1:

[0031] This invention provides an interactive English conversation training system that integrates multi-scenario adaptation and pragmatic analysis, including a scenario adaptation module, a cross-border agricultural product-specific corpus module, an AI-simulated real-world interactive module, a multi-dimensional pragmatic analysis module, a intonation demonstration optimization module, a closed-loop reinforcement training module, a voice acquisition module, and a display and interaction module.

[0032] The scene adaptation module and the agricultural product cross-border exclusive corpus module interact with each other, including an agricultural product cross-border live broadcast sub-module, an English interview sub-module, and a daily communication sub-module. The agricultural product cross-border live broadcast sub-module is subdivided into fruit and vegetable categories, grain and oil categories, egg and milk categories, and fresh food categories, and supports selection of a target cross-border market;

[0033] The AI simulation interactive module and the scene adaptation module interact with each other, and are internally provided with a multi-dimensional buyer portrait unit and a sudden scene simulation unit, which can generate English questions and sudden communication scenes in a target scene;

[0034] The voice collection module transmits data to the multi-dimensional pragmatic analysis module in one direction, and is used for real-time collection of user English response techniques, and has an environmental noise reduction function;

[0035] The sampling rate of the voice collection module ranges from 16 kHz to 48 kHz, supports real-time voice collection and pre-recorded voice uploading, and the collected voice data is transmitted to the multi-dimensional pragmatic analysis module after noise reduction processing;

[0036] The multi-dimensional pragmatic analysis module is also internally provided with an expression correction unit, which can identify syntax errors, vocabulary misuse, and unnatural expression problems in user techniques, and provide correction schemes that conform to the expression habits of the target scene;

[0037] The multi-dimensional buyer portrait unit includes a price-sensitive type, a quality-concerned type, a decision-hesitant type, and a cross-cultural cognitive difference type portrait, which can generate corresponding English questions. The sudden scene simulation unit can simulate dialect accent English questions, product quality questions, and cross-cultural custom-related questions, and the like real communication scenes;

[0038] The multi-dimensional pragmatic analysis module interacts with the scene adaptation module and the AI simulation interactive module in two directions, and includes a pragmatic function labeling unit, a scene adaptation degree analysis unit, a professional information matching unit, and a cross-cultural adaptation detection unit, which are used for full-dimensional analysis of user techniques;

[0039] The pragmatic function labeling unit is used for labeling the pragmatic function type of user techniques, the scene adaptation degree analysis unit is used for analyzing the matching degree of user techniques and the selected scene pragmatic rules, the professional information matching unit is used for detecting whether the user techniques accurately embed agricultural product professional information, and the cross-cultural adaptation detection unit is used for identifying possible cross-cultural expression risks in user techniques;

[0040] The intonation demonstration optimization module transmits data to the multi-dimensional pragmatic analysis module in one direction, and is used for generating standard English intonation demonstration data and adjustment suggestions corresponding to the scene;

[0041] The intonation demonstration optimization module includes a scene-based standard intonation audio library recorded by a professional foreign teacher and a visual intonation curve generation unit, and can output targeted adjustment suggestions for stress position, speech speed control, and tone intensity according to scene requirements.

[0042] The closed-loop reinforcement training module is bidirectionally connected with the agricultural product cross-border exclusive corpus module, the multi-dimensional pragmatic analysis module and the tone demonstration optimization module, and is configured to generate optimized dialogue according to the analysis result and trigger secondary simulation interaction training according to the scene;

[0043] The closed-loop reinforcement training module comprises a dialogue reconstruction unit and a secondary interaction triggering unit. The dialogue reconstruction unit generates 3-5 pieces of optimized dialogue embedded with professional information and adapted to the scene according to the multi-dimensional pragmatic analysis result. The secondary interaction triggering unit generates new simulation questions or scenes according to the optimized dialogue of the user, and starts a new round of training closed loop.

[0044] The display interaction module is bidirectionally connected with all the above modules, and is configured to display scene options, corpus information, simulation interaction content, analysis result, optimized dialogue and training progress.

[0045] The display interaction module supports the user to select agricultural product categories, target cross-border markets and training difficulty levels, and can synchronously display AI simulation question content, user dialogue text, multi-dimensional analysis report, standard tone curve and optimized dialogue example, and can store historical training records and dialogue optimization comparison data.

[0046] Working principle: first, the user selects the target scene, corresponding category and target market through the display interaction module, and sets the training difficulty; after receiving the instruction, the scene adaptation module interacts with the agricultural product cross-border exclusive corpus module to call corresponding corpus resources, and simultaneously triggers the AI simulation practical interaction module to load the adapted buyer portrait and sudden scene library, and the related information is synchronously displayed on the display interaction module.

[0047] Then, the AI simulation practical interaction module generates a communication scene or a question under the target scene, and the user answers through the voice collection module. After the voice collection module completes voice collection and noise reduction processing, the data is transmitted to the multi-dimensional pragmatic analysis module.

[0048] Then, the multi-dimensional pragmatic analysis module performs full-dimensional analysis on the voice data, labels pragmatic functions, analyzes scene adaptation, detects professional information embedding, identifies cross-cultural risks and expression errors, generates a comprehensive analysis report and synchronously transmits the report to the related modules.

[0049] Subsequently, the display interaction module displays the analysis report, the tone demonstration optimization module generates a standard tone and adjustment suggestion, and the closed-loop reinforcement training module generates adapted optimized dialogue. After the user views the feedback and performs secondary response, the system repeats the collection, analysis, feedback and optimization process to form a training closed loop.

[0050] Finally, when the multi-dimensional pragmatic analysis module determines that the dialogue meets the standard, the display interaction module outputs a "training meets the standard" prompt and stores the training record, and the training ends.

[0051] Embodiment Two:

[0052] This embodiment is basically the same as the previous embodiment, except that the agricultural product cross-border exclusive corpus module is built-in with a product category subdivision standard dialogue library, an agricultural product professional information library, and a cross-border market pragmatic rule library. The product category subdivision standard dialogue library stores product introduction, buyer Q&A, and conversion-promoting English dialogues corresponding to the product category. The agricultural product professional information library contains standard English expressions of professional vocabulary such as origin traceability, growth cycle, nutritional components, preservation technology, and quality inspection standards. The cross-border market pragmatic rule library contains consumer habits, taboo expressions, and communication preferences in different target markets.

[0053] The agricultural product cross-border exclusive corpus module supports corpus updates, which can import new professional information of agricultural product categories, the latest pragmatic rules of target cross-border markets, and high-conversion dialogue cases through a data interface.

[0054] Working principle: First, the user imports new professional information of agricultural product categories, target market pragmatic rules, and high-conversion dialogue cases through a data interface to the agricultural product cross-border exclusive corpus module, completes corpus updates, and stores the new content classification in the corresponding corpus.

[0055] Next, the user selects the updated target scenario, category, and market through the display interaction module. The scenario adaptation module calls the updated corpus resources, triggers the AI simulated real combat interaction module to load the adapted communication scenario and questions, and synchronously displays the relevant information.

[0056] Then, the user answers through the voice collection module. The collected voice is transmitted to the multi-dimensional pragmatic analysis module after noise reduction processing. The module performs full-dimensional analysis based on the updated corpus and generates an analysis report containing professional information matching conditions.

[0057] Subsequently, the display interaction module displays the report, the tone demonstration optimization module provides tone suggestions, and the closed-loop reinforcement training module generates optimized dialogues based on the updated corpus. The user refers to the second response, and the system repeats the process to form a closed loop.

[0058] Finally, when the dialogue meets the standard, the display interaction module outputs a prompt and stores the record, and the training ends. The updated corpus can be used for subsequent training adaptation in similar scenarios.

[0059] The foregoing merely illustrates some exemplary embodiments of the application, and no doubt numerous modifications and alterations thereto will be apparent to those skilled in the art. Accordingly, the above description is intended for purposes of illustration only and should not be construed as limiting the scope of the application.

Claims

1. An interactive English conversation training system that integrates multi-scenario adaptation and pragmatic analysis, characterized in that, It includes a scenario adaptation module, a dedicated cross-border agricultural product corpus module, an AI simulation and interactive practice module, a multi-dimensional pragmatic analysis module, a tone demonstration and optimization module, a closed-loop reinforcement training module, a voice acquisition module, and a display and interaction module. The scenario adaptation module interacts bidirectionally with the agricultural product cross-border dedicated corpus module, including agricultural product cross-border live streaming sub-module, English interview sub-module, and daily communication sub-module. The agricultural product cross-border live streaming sub-module is subdivided into categories such as fruits and vegetables, grains and oils, eggs and dairy products, and fresh produce, and supports the selection of target cross-border markets. The AI ​​simulation and interactive module and the scenario adaptation module have bidirectional data interaction. It has a built-in multi-dimensional buyer profile unit and emergency scenario simulation unit, which can generate English questions and emergency communication scenarios in the target scenario. The voice acquisition module transmits data unidirectionally to the multi-dimensional pragmatic analysis module, which is used to collect users' English response speech in real time and has environmental noise reduction function. The multi-dimensional pragmatic analysis module interacts bidirectionally with the scenario adaptation module and the AI ​​simulation and practical interaction module, and includes a pragmatic function annotation unit, a scenario adaptation analysis unit, a professional information matching unit, and a cross-cultural adaptation detection unit, which are used to perform full-dimensional analysis of user speech. The intonation demonstration optimization module and the multi-dimensional pragmatic analysis module transmit data unidirectionally to generate standard English intonation demonstration data and adjustment suggestions for corresponding scenarios. The closed-loop reinforcement training module interacts bidirectionally with the agricultural product cross-border exclusive corpus module, the multi-dimensional pragmatic analysis module, and the intonation demonstration optimization module to generate optimized speech for the appropriate scenario based on the analysis results and trigger secondary simulation interactive training. The display interaction module interacts bidirectionally with all the above modules to display scene options, corpus information, simulated interactive content, parsing results, optimized dialogue, and training progress.

2. The English conversation interactive training system integrating multi-scenario adaptation and pragmatic analysis as described in claim 1, characterized in that, The cross-border agricultural product corpus module includes a category-specific standard language library, an agricultural product professional information thesaurus, and a cross-border market pragmatics rule library. The category-specific standard language library stores English language for product introductions, buyer Q&A, and sales conversion for corresponding categories. The agricultural product professional information thesaurus contains standard English expressions for professional terms such as origin traceability, growth cycle, nutritional components, preservation technology, and quality inspection standards. The cross-border market pragmatics rule library contains consumption habits, taboo expressions, and communication preferences for different target markets.

3. The interactive English conversation training system integrating multi-scenario adaptation and pragmatic analysis as described in claim 1, characterized in that, The multi-dimensional buyer profile unit includes profiles for price-sensitive, quality-concerned, decision-hesitant, and cross-cultural cognitive differences, and can generate corresponding types of English questions. The emergency scenario simulation unit can simulate real communication scenarios such as questions in English with dialect accents, product quality doubts, and questions related to cross-cultural customs.

4. The interactive English conversation training system integrating multi-scenario adaptation and pragmatic analysis according to claim 1, characterized in that, The pragmatic function annotation unit is used to annotate the pragmatic function type of the user's speech, the scenario adaptation analysis unit is used to analyze the matching degree between the user's speech and the pragmatic rules of the selected scenario, the professional information matching unit is used to detect whether the user's speech accurately embeds professional information about agricultural products, and the cross-cultural adaptation detection unit is used to identify potential cross-cultural expression risks in the user's speech.

5. The interactive English conversation training system integrating multi-scenario adaptation and pragmatic analysis according to claim 1, characterized in that, The intonation demonstration optimization module includes a library of scenario-based standard intonation audio recorded by professional foreign teachers and a visual intonation curve generation unit, which can output targeted adjustment suggestions for stress position, speech rate control, and tone intensity according to scenario requirements.

6. The interactive English conversation training system integrating multi-scenario adaptation and pragmatic analysis according to claim 1, characterized in that, The closed-loop reinforcement training module includes a speech reconstruction unit and a secondary interaction triggering unit. The speech reconstruction unit generates 3-5 optimized speech scripts that embed professional information and adapt to the pragmatic rules of the scenario based on the multi-dimensional pragmatic analysis results. The secondary interaction triggering unit can generate new simulated questions or scenarios based on the user's optimized speech scripts to start a new round of training closed loop.

7. The interactive English conversation training system integrating multi-scenario adaptation and pragmatic analysis according to claim 1, characterized in that, The display and interaction module allows users to select agricultural product categories, target cross-border markets, and training difficulty levels. It can simultaneously display AI-simulated question content, user dialogue text, multi-dimensional analysis reports, standard tone curves, and optimized dialogue examples. It can also store historical training records and dialogue optimization comparison data.

8. The English conversation interactive training system integrating multi-scenario adaptation and pragmatic analysis according to claim 1, characterized in that, The dedicated cross-border corpus module for agricultural products supports corpus updates and can import professional information on newly added agricultural product categories, the latest pragmatic rules for target cross-border markets, and high-conversion dialogue examples through a data interface.

9. The interactive English conversation training system integrating multi-scenario adaptation and pragmatic analysis according to claim 1, characterized in that, The voice acquisition module has a sampling rate range of 16kHz-48kHz, supports real-time voice acquisition and pre-recorded voice upload, and the acquired voice data is transmitted to the multi-dimensional pragmatic parsing module after noise reduction processing.

10. The interactive English conversation training system integrating multi-scenario adaptation and pragmatic analysis according to claim 1, characterized in that, The multi-dimensional pragmatic analysis module also has a built-in expression correction unit, which can identify grammatical errors, vocabulary misuse and unnatural expressions in user speech, and provide correction solutions that conform to the expression habits of the target scenario.

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