The present invention provides a pronunciation error detection apparatus capable of following a text without the need for a correct sentence even when erroneous recognition such as a reading error occurs. The pronunciation error detection apparatus comprises: a speech recognition part that recognizes the speech in speech data based on a speech recognition model for a non-native speaker, and outputs speech recognition results, reliability and time information; a reliability determination part that outputs the speech recognition results with higher reliability than a predetermined threshold and the corresponding time information as the determined speech recognition results and the determined time information; and a pronunciation error detection part that outputs a phoneme as a pronunciation error when reliability for each phoneme in the speech recognition results using the native speaker speech recognition model under a weakly constraining grammar is greater than the reliability of the corresponding phoneme in the speech recognition results using the native speaker acoustic model under a constraining grammar in which the determined speech recognition results are correct for the speech data in a segment specified by the determined time information.

A system and method for assisting a user in learning a target non-native language includes a processor executing instructions stored on a computer-readable medium, the executed instructions causing the processor to provide the user with an audible presentation of a word or a phrase in the target non-native language and prompting the user to audibly respond with speech data. The system captures the audible response and converts the audible response into input text data, then evaluates the text data for accuracy by comparing text characters in the text data to anticipated text data contained in a database. The system calculates the number of incorrect characters in the text data, then converts the evaluated text data into an output audio file and reads back the audio file to the user. The readback provided by the system provides audible feedback to the user regarding the accuracy of the evaluated text data.

A system and method for assisting a user in learning a target non-native language includes a processor executing instructions stored on a computer-readable medium, the executed instructions causing the processor to provide the user with an audible presentation of a word or a phrase in the target non-native language and prompting the user to audibly respond with speech data. The system captures the audible response and converts the audible response into input text data, then evaluates the text data for accuracy by comparing text characters in the text data to anticipated text data contained in a database. The system calculates the number of incorrect characters in the text data, then converts the evaluated text data into an output audio file and reads back the audio file to the user. The readback provided by the system provides audible feedback to the user regarding the accuracy of the evaluated text data.

Systems and methods for education instrumentation can include one or more servers configured generate a plurality of models for modeling various aspects of an education process using training data related to academic performance of students. The one or more servers can collect data from client devices associated with various education institutions or stakeholders throughout a life cycle of the education process. The one or more servers can use the generated models and the collected data to assess the addressing of education standards and predict or estimate performance metrics associated with the education process. The one or more servers can provide computed metrics or assessments of how well education standards are addressed to one or more client devices for display.

Systems and methods for education instrumentation can include one or more servers configured generate a plurality of models for modeling various aspects of an education process using training data related to academic performance of students. The one or more servers can collect data from client devices associated with various education institutions or stakeholders throughout a life cycle of the education process. The one or more servers can use the generated models and the collected data to assess the addressing of education standards and predict or estimate performance metrics associated with the education process. The one or more servers can provide computed metrics or assessments of how well education standards are addressed to one or more client devices for display.

Systems and methods for improving behavioral therapies encompassing therapies wherein a perceptual stimulus is administered to a subject or a motor behavior is performed by the subject. Such administration of perceptual stimuli or motor performance is paired with the delivery of vagus nerve stimulation to the subject. The vagus nerve stimulation is timed with the sensory stimulus administration or motor performance in a temporal alignment that maximizes neuroplasticity and performance. Systems for performance of the method and associated software are also disclosed

Embodiments of a language learning system and method for implementing or assisting in self-study for improving listening fluency in a target language are disclosed. Such embodiments may simultaneously present the same piece of content in an auditory presentation and a corresponding visual presentation of a transcript of the auditory presentation, where the two presentations are adapted to work in tandem to increase the effectiveness of language learning for users.

Embodiments of a language learning system and method for implementing or assisting in self-study for improving listening fluency in a target language are disclosed. Such embodiments may simultaneously present the same piece of content in an auditory presentation and a corresponding visual presentation of a transcript of the auditory presentation, where the two presentations are adapted to work in tandem to increase the effectiveness of language learning for users.

The invention discloses a literacy method and system, and relates to the technical field of computers. A specific implementation of the method includes: displaying a target Chinese literacy interface under a preset trigger condition, and the target Chinese literacy interface includes a main Basic Component of Chinese character or a main Chinese character, which also includes one or more first literacy prompt messages. After the user's selection instruction for the first literacy prompt information is received on the target literacy interface, the target literacy corresponding to the first literacy prompt information selected by the user is displayed under the next-level designated literacy interface, the main Chinese character in the designated literacy interface is derived from the main Basic Component or the main Chinese character of the target literacy interface. This implementation mode enables users to quickly learn and master Chinese characters, realizes the steps and methods for systematically learning Chinese characters, and forms a multi-level system from simple to complex. The interface is simple and easy to use. It can support simplified and traditional characters at the same time. Simply and efficiently display and learn Chinese characters on the screen.

The invention discloses a literacy method and system, and relates to the technical field of computers. A specific implementation of the method includes: displaying a target Chinese literacy interface under a preset trigger condition, and the target Chinese literacy interface includes a main Basic Component of Chinese character or a main Chinese character, which also includes one or more first literacy prompt messages. After the user's selection instruction for the first literacy prompt information is received on the target literacy interface, the target literacy corresponding to the first literacy prompt information selected by the user is displayed under the next-level designated literacy interface, the main Chinese character in the designated literacy interface is derived from the main Basic Component or the main Chinese character of the target literacy interface. This implementation mode enables users to quickly learn and master Chinese characters, realizes the steps and methods for systematically learning Chinese characters, and forms a multi-level system from simple to complex. The interface is simple and easy to use. It can support simplified and traditional characters at the same time. Simply and efficiently display and learn Chinese characters on the screen.