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draft [2009/09/30 20:34] ptacek |
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====== Architecture Description ====== | ====== Architecture Description ====== | ||
- | The ASR module based on Hidden-Markov models transforms input speech into text, providing a front-end between the user and the Czech demonstrator. The ASR output is smoothed into a form close to standard written text using statistical machine translation in order to | + | The ASR module based on Hidden-Markov models transforms input speech into text, providing a front-end between the user and the Czech demonstrator. The ASR output is smoothed into a form close to standard written text using statistical machine translation in order to bridge the gap between dis-fluent spontaneous speech and a standard grammatical sentence. |
- | to bridge the gap between dis-fluent spontaneous speech and a standard grammatical sentence. | + | |
- | The natural language understanding pipeline starts with part-of-speech tagging. Its result is passed on to Maximum Spanning Tree Syntactic | + | Results of the part-of-speech tagging |
- | The Named Entity Recognition module then marks personal names and geographical locations. | + | |
+ | In addition, when generating the system response, the dialogue manager will pass through the NLG module the information about the appropriate communicative function along with the sentence that is to be generated. NLG is also used to generate paraphrases of user input sentences.The TTS module integrated with the TID avatar transforms system responses from the text form into the speech and visual (face expressions, | ||
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The Czech Companion follows the original idea of Reminiscing about the User's Photos, | The Czech Companion follows the original idea of Reminiscing about the User's Photos, |