89 results about "Verbal learning" patented technology

A tailored interactive language learning system that teaches an individualized set of vocabulary words to users through interactive avatars and stories. The interaction is modeled through probabilistic rules in a semantic network and neural network having objects and relations. Dialog and narration is generated dynamically based on the state of the interactive story model using phrasal rewrite rules and neural network implementiung a four-valued logic system in which truth values of the objects and relations are encoded as true, false, defined, and undefined in a single memory array.

The invention discloses a language learning evaluation method based on a deep learning algorithm, and relates to the technical field of language processing, and the method comprises the steps: receiving a voice signal and original text content, constructing a noisy voice sample through an adversarial disturbance generator, inputting a pre-trained voice recognition model, and outputting a voice recognition text and an anti-noise confidence score; constructing a context semantic graph in the semantic analysis path, generating an edge attention weight, calculating a semantic coherence index, and matching a predefined grammar rule base in the activated grammar analysis path to generate a grammar error tag; and dynamically generating feedback content based on the multi-dimensional evaluation matrix, and updating a preset corresponding threshold value and a rule base weight according to the adoption of the user on the feedback content. According to the method, collaborative quantitative analysis of pronunciation, semantics and grammar problems is realized by constructing a multi-dimensional evaluation matrix of an anti-noise confidence score, a semantic coherence index and a grammar error tag.

The disclosed embodiments describe a method, system, and computer-readable medium for generating a training dataset for training a model in the field of natural language processing involving receiving a set of input samples and performing a rephrasing operation to produce new versions of the set of input samples, where the new versions preserve semantic equivalence as the set of input samples but have different phrasing. A dataset of generated versions of the input samples is generated using a generative Language Learning Model (LLM), all entity references present in the generated versions of the input samples are labeled, and the generated versions of the input samples and their corresponding labeled versions to form an expanded labeled dataset are aggregated.

Various embodiments described herein relate to systems and methods for constructing a classification model using data associated with a facility. In this regard, unlabeled data associated with the facility is retrieved. Based on an application of a first algorithm on the unlabeled data, parameters in the unlabeled data are determined. Using the parameters, machine learning algorithms identify topics and clusters in the unlabeled data. Also, a prioritized list of keywords is generated for each of the topics. Then, the prioritized list of keywords is input to a language learning model. The language learning model outputs a keyword from the list of keywords. If the keyword meets a predefined threshold, a cluster of the clusters is labeled using the keyword. Using first set of labeled clusters, the classification model is trained. The trained classification model provides recommendations related to the facility which are also renderable on a user interface as well.

A system for implementing interactive language learning includes a microphone, an audio output unit, a data storage unit, a display unit, and a controller. The controller generates an audio signal related to a question stored in the data storage unit, and controls the audio output unit to output the audio signal. In response to receipt of a speech signal, the controller outputs a text answer based on the speech signal. The controller determines whether the text answer corresponds with one of a plurality of predetermined answers associated with the question, generates one of an affirmative response and a guidance response based on the determination, transforms the one of the affirmative response and the guidance response into a form of speech, and controls the audio output unit to output the one of the affirmative response and the guidance response as a new audio signal.

Systems and methods for AI-assisted user training and flow query including receiving training including tokenizing the training data with a language learning model into one or more vectors, including a processing vector, and storing the one or more vectors. The systems and methods may receive a request from a user and generate a proficiency score by inputting the request into an adaptive response engine comprising the proficiency vector and proficiency logic and assign the proficiency score to the user. The systems and methods may generate a response associated with the request based on the proficiency score and programed query response logic and output the response.

The invention relates to the technical field of artificial intelligence and gamification education, and discloses an AI personalized virtual accompanying dialogue system based on a language learning level, and the system comprises a file obtaining module which is used for obtaining a historical dialogue file of a user before the dialogue of the user starts; the plot setting module is used for performing five-dimensional quantization processing on the current dialogue statement of the user according to the historical five-dimensional vector, and setting a dialogue plot key of the user based on a current CEFR interval, a historical key structure and a historical hit result in the current five-dimensional vector; the frequency collection module is used for outputting the demonstration springback text to the user and collecting the current springback frequency of the demonstration springback text on the basis of the historical springback frequency; the task completion module is used for completing a conversation completion task of the user; and the virtual accompanying module is used for realizing AI personalized virtual accompanying dialogue processing of the user. According to the method, immersive experience and efficient grammar training can be achieved at the same time.

1. Name of the product in this design: Learning Machine (Chinese Language). 2. Purpose of this design: For Chinese language learning. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

We provide the system. [Solution] A learning plan generation means that generates a language learning plan based on user input, A voice input receiving means that receives voice input corresponding to a conversation scenario provided in accordance with the learning plan, An analysis means that analyzes the aforementioned voice input in real time and generates feedback regarding pronunciation and grammar, A means for presenting the aforementioned feedback to the user, An adjustment means for adjusting the learning plan based on the user's learning progress, A system that includes this.

This application belongs to the field of data processing technology, specifically involving an integrated traceability method for language learning and practice results across multiple platforms. The method includes: acquiring learning behavior data from multiple platforms; standardizing and converting the multi-platform learning behavior data and writing a unified event serial number to generate a unified learning record; writing user identifiers, timestamps, record summary values, and previous record summary values ​​into the unified learning record to generate a chained record sequence; storing the chained record sequence in a storage network, and generating a restricted access copy and an integrity verification copy when the sharing request is verified; performing behavior fragment coverage checks and supplementary collection based on the integrity verification copy to generate a complete set of learning behaviors; and integrating the complete set of learning behaviors across platforms to generate a learning trajectory archive. This application can balance record reliability, sharing controllability, and trajectory integrity.

The invention relates to the technical field of natural language processing and artificial intelligence application, and discloses a multilingual spelling error correction method based on big language modeling, which comprises the following steps: generating multilingual training data through a disturbance strategy, and supervising and finely tuning a big language model; zero sample error detection is realized based on lexical-level probability deviation; and a detection result and a generative error correction result are integrated, and only consistent errors are replaced. According to the method, the excessive error correction tendency of the generative model is effectively inhibited, the error correction performance of low-resource languages such as Vietnamese and Indonesia is improved, and meanwhile, the principle of'minimum change 'is kept. The method does not need manual data annotation, has good mobility and cross-language adaptability, and can be widely applied to scenes such as text cleaning, language learning and machine translation.

The invention provides a language memory card system with a pronunciation error correction function, and relates to the technical field of language training. The language memory card system with the pronunciation error correction function comprises a user portrait and configuration system, a core learning and interaction system and a background management and optimization system which are bidirectionally linked to realize refined adaptation of dialects and crowd pronunciation and memory-pronunciation collaborative reinforcement. The user portrait and configuration system is used for collecting user basic information, completing a pronunciation baseline test, generating personalized configuration parameters and outputting the personalized configuration parameters to the core learning and interaction system; and the core learning and interaction system receives personalized configuration parameters. The system has the dialect and crowd refined adaptation capability, the pronunciation error correction precision is high, memory and pronunciation collaborative enhancement is achieved, personalized adjustment and dynamic optimization are supported, data safety is guaranteed, and the language learning efficiency and normalization are remarkably improved.

The present invention relates to a method for providing a learner-personalized language learning service and, more specifically, to a method for providing a learner-personalized language learning service, which is performed by a server and provides a Korean learning service to a foreign learner. The method comprises the steps of: preparing, by the server, an evaluation corpus including a learning corpus for allowing a learner to learn Korean and an error corpus in which an error made by the learner is expressed; receiving learner information input using a learner terminal; setting a Korean language ability level of the learner on the basis of the learner information; and allowing the learner to learn by using the evaluation corpus according to the set Korean language ability level of the learner. The present invention provides language learning data according to an individual language learning ability level of a learner and a subject desired by the learner, and enables personalized language learning to be performed for each learner, thereby improving learning efficiency and satisfaction.

The invention discloses a two-language learning and interdisciplinary cognitive construction training system and method, which adopts a 7 + 1 core model of'structured task training of 7 days per week and one closed-loop detection ', is a cognitive and language double-track development system, and comprises a teacher module and a student module, a forced English learning cognition closed loop is formed through a seven-day structured task chain in a systematic input stage and one-time multi-dimensional detection in a closed loop detection stage, the system combines language acquisition with contents of science, technology, engineering, mathematics and the like, and realizes deep fusion of language acquisition and interdisciplinary knowledge construction. By creating a mandatory and double-track integration system of'seven-day structured task training and one-time closed-loop detection ', language learning is sublimated into interdisciplinary cognitive practice for exploring the world through English, the problems of splitting and thinning of an existing tool are fundamentally solved, and an efficient path is provided for cultivating compound talents adapting to the future.

The invention discloses a hearing aid and spoken language partner training integration method and system based on hearing loss and compensation, and belongs to the crossing field of hearing aid and artificial intelligence language learning. The method is cooperatively executed by a Bluetooth headset and a mobile terminal application program, and comprises the following steps: establishing a personalized hearing loss curve of a user; the equipment has an intelligent hearing aid mode and a spoken language partner training mode. And in the hearing aid mode, real-time compensation playing is carried out on the environment sound based on the curve. In the partner training mode, three partner training processes of real-time, preset scene and word generation scene are provided, and adaptation processing is performed on the generated partner training audio based on the same hearing curve, so that key teaching phonemes are ensured to be clear and audible. The core innovation lies in that the system dynamically adjusts the compensation parameter of the hearing loss curve by analyzing the pronunciation accuracy of the user in partner training, and realizes collaborative optimization and personalized improvement of the hearing aid effect and the spoken language ability.

The invention relates to a computer-implemented method (100) for providing a personalized virtual assistant for controlling a vehicle function, using a pre-trained language learning model that has been trained to provide text data generated at an output level from content data provided at an input level, comprising at least the following steps: generating (102) text data from content data of a plurality of documents using the at least one pre-trained language learning model; embedding (104) the plurality of documents in the text data; creating (106) at least one vector database from the text data with the embedded documents; generating (108) conversational text data from at least one user input using the at least one pre-trained language learning model; embedding (110) the at least one user input in the conversational text data;Generating (112) response text data as a response of the personalized virtual assistant to the user's at least one input based on the conversation text data with the at least one embedded user input by means of the at least one pre-trained language learning model and the at least one vector database; and providing (128) a control signal displaying the response text data for controlling an output device.

A computer-implemented method for facilitating learning of a language through gamification is disclosed. The method includes receiving, via a communication device, a request for learning the language from a user device and retrieving, from a storage device, a character comprising at least one stroke. A processing device determines a musical sound associated with the at least one stroke and causes the character to be displayed on the user device. The method further includes receiving at least one user stroke generated based on a gesture made by the user, analyzing the at least one user stroke in relation to the corresponding stroke of the character, and modifying the musical sound based on the analysis to generate a modified musical sound. The modified musical sound is transmitted to the user device to provide interactive, music-based feedback during language learning.

With the state of the art, it is not possible to utilize rearrangement problems having information origins based on the essence of learning processes, namely that learning is to understand concepts and to understand connections between the concepts. The present invention makes such utilization possible for both educational learning and language learning.　This learning assistance system uses a rearrangement problem of which an information origin is customized and is characterized by a step of analyzing and acquiring a book, audio, video content, and other relevant information selected by a learner by using a natural language processing technique or a machine learning algorithm in accordance with a profile or a preference and needs of the learner, a step of creating, on the basis of the acquired information, the customized rearrangement problem in a language desired by the learner, a step of converting the created problem into a signal, digital data, or other formats and transmitting the conversion result to a terminal used by the learner by using an optical fiber cable, a wireless communication, the Internet, or other communication means, a step in which the learner answers by using the rearrangement problem, a step of determining whether the answer is correct or wrong, a step of conjecturing the cause of an incorrect answer to the rearrangement problem and creating appropriate advice by using a natural language processing technique or a machine learning algorithm in consideration of one or both of the level of the contents or a language level of the learner, and the function which allows the learner to select the steps and a desired language at a point designated by the learner within each step, the function being capable of processing the selections by using a natural language processing technique, a machine learning algorithm, or other suitable technical means.

Effectively support language learning based on pattern practice. [Solution] The language learning device of the present invention is a language learning device that provides learning content to a user terminal, and has an example sentence storage means that breaks down example sentences, which are learning content, into grammatical components and stores them, an example sentence display means that breaks down the example sentences into their components and displays them on the user terminal, and a randomization means that randomly switches at least one of the components displayed on the user terminal to another component.

The present invention improves upon established methods for learning foreign languages. The invention as disclosed and claimed provides an educational system that is easily mobile, unlike traditional bulky textbooks, is visually-based, unlike common audio-based language instruction, and involves a wearable component. The invention encompasses educational kits comprising sets of paired learning items, such as stickers or nail decals that can be affixed to or worn on the hands. The paired learning items can be paired stickers, decals, buttons, emblems, tags, tapes, caps, stamps, tags, labels, tokens, tabs, papers, stubs, nail wraps, and other small items that can be affixed to the hands by appropriate means.

The system according to the embodiment aims to efficiently utilize conversation content for language learning. [Solution] A system according to an embodiment includes a conversion unit, a storage unit, and a generation unit. The conversion unit converts conversation content into text and audio. The storage unit stores the data converted by the conversion unit. The generation unit analyzes the data stored by the storage unit and generates text.

A system is provided.SOLUTION: A system comprising: means for generating language learning content for a user using generative artificial intelligence; means for accumulating and analyzing logs of conversations with the user; means for providing feedback according to a learning progress of the user based on a result of the analysis; and means for communicating with various devices to allow the user to access from different devices.SELECTED DRAWING: Figure 1

The application discloses a hearing aid and oral language practice integrated method and system based on hearing loss and compensation, and belongs to the cross field of hearing aid and artificial intelligence language learning. The method is cooperatively executed by a Bluetooth earphone and a mobile terminal application program, and comprises the following steps: a user's personalized hearing loss curve is established; the device has a dual mode of intelligent hearing aid and oral language practice. In the hearing aid mode, the environment sound is compensated and played in real time based on the curve. In the practice mode, three practice processes of real-time, preset scene and new word scene are provided, and the generated practice audio is adaptively processed based on the same hearing curve, so that the key teaching phonemes are clear and audible. The core innovation is that the system dynamically adjusts the compensation parameters of the hearing loss curve by analyzing the pronunciation accuracy of the user in the practice, so that the hearing aid effect and oral language ability are cooperatively optimized and individually improved.

1. Name of the designed product: learning machine (English play). 2. Use of the designed product: language learning machine for displaying sentences or words and playing audio. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

The present invention provides an information processing method, etc., that can suitably design dialogue tasks for language learners. [Solution] The information processing method involves a computer that acquires learning information representing the content that a learner of a target language should learn, and inputs a first prompt containing the learning information into a language model to generate a specification for a dialogue task to be performed by the learner. Preferably, a second prompt containing the generated specification is input into the language model to generate an instruction document that instructs the learner to perform the dialogue task, and a third prompt that instructs the language model to generate a dialogue sentence corresponding to the dialogue task.

The system according to this embodiment aims to identify the user's weaknesses and areas of difficulty in language learning, and to create and update a curriculum based on these. [Solution] The system according to the embodiment comprises an analysis unit, a generation unit, and an update unit. The analysis unit analyzes the user's speech and identifies grammatical and pronunciation errors. The generation unit creates a language learning curriculum based on the weaknesses and areas of difficulty identified by the analysis unit. The update unit monitors the user's progress based on the curriculum created by the generation unit and updates the curriculum as needed.

The utility model relates to the technical field of learning auxiliary plates, and discloses an auxiliary plate for English learning, which comprises a bottom plate and a placing mechanism, a clamping mechanism is arranged at the upper end of the bottom plate, a sliding mechanism is arranged on the inner wall of the bottom plate, the placing mechanism is positioned on one side of the upper end of the bottom plate, the clamping mechanism comprises two clamping blocks, and the two clamping blocks are arranged on the bottom plate. A first sliding groove is formed in the middle of the upper end of the bottom plate, a plurality of clamping grooves are evenly formed in the two ends of the inner wall of the first sliding groove, connecting blocks are fixedly connected to the lower ends of the two clamping blocks, and protruding blocks are arranged at the two ends of the lower ends of the inner walls of the two connecting blocks. According to the utility model, by pressing the mounting block, the interior of the mounting block is moved and a learning machine or a notebook computer is fixed, such a design ensures the stability of the equipment in use, prevents sliding or falling, and can be disassembled only by reverse operation, the sliding plate is moved by the operation of the rotating rod, important information is convenient to record, and the language learning effect can be effectively improved by combining the learning machine for use; and recording and listening practice are synchronously carried out.

The invention discloses a multilingual semantic mapping system based on word alignment. According to the system, word-level efficient alignment and dynamic presentation between different languages are realized by constructing a vocabulary semantic anchor map. The system comprises a vocabulary acquisition module, a semantic alignment module, a weight regulation module, a graph generation module, an interface display module and a user feedback module, and can be used for supporting language learning scenes such as progressive replacement learning and reading-driven language migration training. The system supports multi-language pair and multi-structure mapping, has adaptive scheduling capability, is especially suitable for education platforms, language migration training systems and multi-language translation auxiliary products, and has good popularization potential and practical application value.

The application discloses a language learning simulation scene generation method based on artificial intelligence, medium, equipment and products in the technical field of computer-aided education, and relates to the technical field of computer-aided education.The method comprises the following steps: performing data preprocessing on obtained user data to obtain a user portrait; generating a scene description by using an artificial intelligence model according to a preset scene theme library and the user portrait; generating a virtual NPC role by using an artificial intelligence model according to a preset scene NPC role model library and the scene description; performing multi-round interaction between the virtual NPC role and the user until a scene learning task is completed; wherein after each round of interaction, an evaluation model is used to evaluate the user response in the interaction process to obtain an evaluation result; the user portrait is updated according to the evaluation result and the interaction content, and the scene description and the virtual NPC role are adjusted according to the updated user portrait to enter the next round of interaction.

Systems and methods are provided for generating language learning items. In embodiments, training data comprising a plurality of concept-sentence pairs received by a machine-learning based language model may be used to train the model to generate sentences based on an input. A stimulus may be received and used by the trained machine-learning based language model to generate a sentence. The sentence may be stored in a computer readable medium.