| P15-4001 | an iterative improvement of the | automatic pronunciation | error recognition and classification |
| J00-2003 | like certain other approaches to | automatic pronunciation | ) on any statistical model . |
| D15-1140 | sequences ) . How - ever , recently an | automatic pronunciation | estimator ( Mori and Neubig , |
| W12-5808 | for spoken language teaching . | Automatic pronunciation | evaluation and feedback can help |
| N04-2001 | techniques like lexical modeling , | automatic pronunciation | modeling using FST , speaker |
| W12-5803 | seem to provide the solution to | automatic pronunciation | error detection by its ability |
| W12-5808 | over academic corpora . <title> | Automatic Pronunciation | Evaluation Mispronunciation Detection |
| W12-5803 | Dr. Laurence Meadows . <title> | Automatic pronunciation | assessment for language learners |
| C94-2156 | ology , but is not ms useful h ) r | automatic pronunciation | extraction . 3 Methodology and |
| N13-1121 | origin of a name can improve its | automatic pronunciation | ( Llitjos and Black , 2001 ) |
| W06-3706 | through two devices : we will enable | automatic pronunciation | of Shortcuts and categories in |
| W06-3701 | through two devices : we will enable | automatic pronunciation | of Shortcuts and categories in |
