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draft [2009/09/30 20:46] 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 Czech Companion follows the original idea of Reminiscing about the User's Photos, |
+ | taking advantage of the data collected in the first phase of the project (using a Wizard-of-Oz setting). The full recorded corpora was transcribed, | ||
- | Results of the part-of-speech tagging are passed on to the Maximum Spanning Tree Syntactic Parsing module. A tectogrammatical representation of the utterance is constructed once the syntactic parse is available. Annotation | + | The architecture is the same as in the English version, i.e. a set of modules communicating through |
- | + | ||
- | The dialog is driven by a Dialog Manager component by USFD (originally developed for the English Senior Companion prototype). | + | |
- | CU has supplied the transition networks covering following topics: retired_person, husband, child, wife, wedding | + | |
- | Dialogue Manager provides information about the appropriate communicative function along with the sentence that is to be generated to the NLG module. The TTS module integrated with the TID avatar transforms system responses from the text form into the speech and visual (face expressions, | + | |
+ | The NLU pipeline, DM, and NLG modules at the NLP Server are implemented using a CU's own TectoMT platform that provides access to a single in-memory data representation through a common API. This eliminates the overhead of a repeated serialization and XML parsing that an Inamode based solution would impose otherwise. | ||
< | < | ||
- | The Czech Companion follows the original idea of Reminiscing about the User's Photos, | + | The ASR module based on Hidden-Markov models transforms input speech into text, providing a front-end between |
- | taking advantage of the data collected in the first phase of the project (using a Wizard-of-Oz setting). The full recorded corpora was transcribed, | + | |
- | The architecture is the same as in the English version, i.e. a set of modules communicating through | + | Results of the part-of-speech tagging are passed on to the Maximum Spanning Tree Syntactic Parsing module. A tectogrammatical representation |
- | The NLU pipeline, DM, and NLG modules at the NLP Server are implemented using a CU's own TectoMT platform | + | The dialog is driven by a Dialog Manager component by USFD (originally developed for the English Senior Companion prototype). |
+ | CU has supplied the transition networks covering following topics: retired_person, | ||
+ | Dialogue Manager provides information about the appropriate communicative function along with the sentence | ||
The Knowledge Base consists of objects (persons, events, photos) that model the information acquainted in the course of dialog. Those objects also provide a very basic reasoning (e.g. accounting for the link between date of birth and age properties). Each object' | The Knowledge Base consists of objects (persons, events, photos) that model the information acquainted in the course of dialog. Those objects also provide a very basic reasoning (e.g. accounting for the link between date of birth and age properties). Each object' | ||