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1. WO2013003749 - STATISTICAL MACHINE TRANSLATION FRAMEWORK FOR MODELING PHONOLOGICAL ERRORS IN COMPUTER ASSISTED PRONUNCIATION TRAINING SYSTEM

Note: Text based on automatic Optical Character Recognition processes. Please use the PDF version for legal matters

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CLAIMS

What is claimed is:

1. A method for teaching a user a non-native language, the method comprising the steps of:

creating, in a computer process, models representing phonological errors in the non-native language; and

generating with the models, in a computer process, non-native pronunciations for a native pronunciation.

2. The method of claim 1, further comprising the step of using the non-native pronunciations for detecting, in a computer process, phonological errors in an utterance spoken in the non-native language by the user.

3. The method of claim 1, wherein the models include a native to non-native phone translation model.

4. The method of claim 3, wherein the models further include a non-native phone language model.

5. The method of claim 1, wherein the models include a non-native phone language model.

6. The method of claim 1 , wherein the creating step includes training the models with parallel native pronunciation and non-native pronunciation patterns.

7. The method of claim 6, wherein the parallel native pronunciation and non-native pronunciation patterns respectively include canonical sequences and non-native phone sequences.

8. The method of claim 1, wherein the creating step is performed as a machine translation method.

9. The method of claim 1, wherein the creating step includes aligning native pronunciations with corresponding non-native pronunciations.

10. The method of claim 9, wherein the creating step includes transforming the aligned native and non-native pronunciations into chunks of phone-based alignments, the chunks of phone-based alignments generating a phone translation model.

1 1. The method of claim 1, wherein the creating step includes using annotated native and non-native phone sequences to generate a non-native phone language model.

12. A system for teaching a user a non-native language, the system comprising:

a word aligning module for aligning native pronunciations with corresponding non-native pronunciations, the aligned native and non-native pronunciations for use in creating a native to non-native phone translation model;

a language modeling module for generating a non-native phone language model using annotated native and non-native phone sequences; and

a non-native pronunciation generator for generating non-native pronunciations using the phone translation and phone language models.

13. The system of claim 12, wherein the system is for use with a computer assisted pronunciation training system.

14. The system of claim 13, wherein the system comprises a phonological error modeling system.

15. The system of claim 12, wherein the system comprises a phonological error modeling system.

16. The system of claim 12, wherein the system comprises a computer assisted pronunciation training system.

17. The system of claim 16, wherein the computer assisted pronunciation training system can be used for non-native speech recognition.

18. The system of claim 12, further comprising a trainer for transforming the aligned native and non-native pronunciations into chunks of phone-based alignments, the chunks of phone-based alignments defining the phone translation model.

19. The system of claim 12, further comprising a speech recognition engine for detecting phonological errors in an utterance spoken in the non-native language by the user.

20. The system of claim 19, wherein the system is for use with a computer assisted pronunciation training system.

21. The system of claim 20, wherein the system comprises a phonological error modeling system.

22. The system of claim 19, wherein the system comprises a phonological error modeling system.

23. The system of claim 19, wherein the system comprises a computer assisted pronunciation training system.

24. A system for teaching a user a non-native language, the system comprising:

a memory containing instructions;

a processor executing the instructions contained in the memory, the instructions for: aligning native pronunciations with corresponding non-native pronunciations, the aligned native and non-native pronunciations for use in creating a native to non- native phone translation model;

generating a non-native phone language model using annotated native and non- native phone sequences; and

generating non-native pronunciations using the phone translation and phone language models.

25. A system for teaching a user a non-native language, the system comprising:

a memory containing instructions;

a processor executing the instructions contained in the memory, the instructions for: creating models representing phonological errors in the non-native language; and

generating with the models non-native pronunciations for a native pronunciation.