Rosetta Stone, Ltd.
|Rosetta Stone, Ltd. Patent applications|
|Patent application number||Title||Published|
|20140205974||STATISTICAL MACHINE TRANSLATION FRAMEWORK FOR MODELING PHONOLOGICAL ERRORS IN COMPUTER ASSISTED PRONUNCIATION TRAINING SYSTEM - Methods and systems for teaching a user a non-native language include creating models representing phonological errors in the non-native language and generating with the models non-native pronunciations for a native pronunciation. The non-native pronunciations may be used for detecting phonological errors in an utterance spoken in the non-native language by the user. The models can include a native to non-native phone translation model and a non-native phone language model.||07-24-2014|
|20140170629||PRODUCING CONTROLLED VARIATIONS IN AUTOMATED TEACHING SYSTEM INTERACTIONS - The content of an instructor-student interaction set in an automated teaching system is represented in a graph-based format. In a graph-based representation, not only can variations branch away from each other at a node (branching point), as in the tree-based representation, but they can also merge back together. Not only does this make the -structure more compact, but it increases the number of variations that can be represented in the content while simultaneously eliminating the need to individually author each variation.||06-19-2014|
|20140170610||METHOD AND SYSTEM FOR CREATING CONTROLLED VARIATIONS IN DIALOGUES - A method and system for teaching a user a target language includes developing and constructing variable potential paths of nodes representing an exchange between two participants in a dialogue, prompting and selecting a path of nodes through a conversation graph of the target language, the path of nodes defining a dialogue; and determining whether the user is ready to perform the dialogue that has been constructed and defined by the path of nodes, the determination being based on a user model which represents the user's current ability in and current knowledge of, the target language. If the user is ready to perform the dialogue, the path of nodes is executed to allow the user to perform the dialogue defined thereby; and if the user is not ready to perform the dialogue, training the user on one or more nodes of the path of nodes.||06-19-2014|
|20120065977||System and Method for Teaching Non-Lexical Speech Effects - Herein, a method is disclosed, which may include delexicalizing a first speech segment to provide a first prosodic speech signal; storing data indicative of the first prosodic speech signal in a computer memory; audibly playing the first speech segment to a language student; prompting the student to recite the speech segment; and recording audible speech uttered by the student in response to the prompt.||03-15-2012|
|20110311952||Modularized Computer-Aided Language Learning Method and System - A modularized computer-aided language learning system utilizing a unique user interface and modularized presentation modules to assist users to learn a language. The system presents a presentation module including a first description of a presentation subject and a placeholder indicating that a second description of the presentation subject is missing from the presentation module. Each of the first description of the presentation subject and the second description of the presentation subject is one of a textual type, a visual type and an audio type. Separated from the presentation module, the system presents the second description of the presentation subject, and receives a user input indicating an association of the presented second description to presentation module related to the presentation subject. Feedback is provided indicating the correctness of the association. The disclosure also describes a unique program design approach to form training programs using the presentation modules.||12-22-2011|
|20110191104||SYSTEM AND METHOD FOR MEASURING SPEECH CHARACTERISTICS - A method for measuring a disparity between two speech samples is disclosed that may include determining upon a speech granularity level at which to compare the rhythm of a student speech sample and a reference speech sample; determining a duration disparity between a first speech unit and a second, non-adjacent speech unit in the student speech sample; determining a duration disparity between a first speech unit and a second, non-adjacent speech unit in the reference speech sample; and calculating the difference between the student speech-unit duration disparity and the reference speech-unit disparity.||08-04-2011|
Patent applications by Rosetta Stone, Ltd.