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1. US20140205974 - STATISTICAL MACHINE TRANSLATION FRAMEWORK FOR MODELING PHONOLOGICAL ERRORS IN COMPUTER ASSISTED PRONUNCIATION TRAINING SYSTEM

Office
United States of America
Application Number 14141774
Application Date 27.12.2013
Publication Number 20140205974
Publication Date 24.07.2014
Publication Kind A1
IPC
G09B 19/06
GPHYSICS
09EDUCATING; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
19Teaching not covered by other main groups of this subclass
06Foreign languages
G06F 17/28
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
20Handling natural language data
28Processing or translating of natural language
CPC
G09B 19/06
GPHYSICS
09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
19Teaching not covered by other main groups of this subclass
06Foreign languages
G06F 17/28
Applicants Rosetta Stone, Ltd.
Inventors Pellom Bryan
Stanley Theban
Hacioglu Kadri
Title
(EN) STATISTICAL MACHINE TRANSLATION FRAMEWORK FOR MODELING PHONOLOGICAL ERRORS IN COMPUTER ASSISTED PRONUNCIATION TRAINING SYSTEM
Abstract
(EN)

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.


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