Speechtospeech PowerPoint PPT Presentations

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SpeechtoSpeech Translation: PowerPoint PPT Presentation
SpeechtoSpeech Translation:
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SpeechtoSpeech MT CSTARNespoleLingWear PowerPoint PPT Presentation
SpeechtoSpeech MT CSTARNespoleLingWear - Spoken dialogue is very different from written text: ... operatives in the field to assimilate forien language information they encounter ...
Spoken dialogue is very different from written text: ... operatives in the field to assimilate forien language information they encounter ...
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SpeechtoSpeech MT Design and Engineering PowerPoint PPT Presentation
SpeechtoSpeech MT Design and Engineering - Focus on making travel arrangements for a personal leisure trip (not business) ... to sub-domains (Hotel, Transportation, Sights, General Travel, Cross Domain) ...
Focus on making travel arrangements for a personal leisure trip (not business) ... to sub-domains (Hotel, Transportation, Sights, General Travel, Cross Domain) ...
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SpeechtoSpeech MT JANUS CSTARNespole PowerPoint PPT Presentation
SpeechtoSpeech MT JANUS CSTARNespole - Focus on making travel arrangements for a personal leisure trip (not business) ... to sub-domains (Hotel, Transportation, Sights, General Travel, Cross Domain) ...
Focus on making travel arrangements for a personal leisure trip (not business) ... to sub-domains (Hotel, Transportation, Sights, General Travel, Cross Domain) ...
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Speechtospeech translation for eCommerce PowerPoint PPT Presentation
Speechtospeech translation for eCommerce - Speech-to-speech translation for eCommerce. CMU, Karlsruhe, IRST, ... EU-side has strict scheduling and deliverables. First test domain: Italian travel agency ...
Speech-to-speech translation for eCommerce. CMU, Karlsruhe, IRST, ... EU-side has strict scheduling and deliverables. First test domain: Italian travel agency ...
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SpeechtoSpeech MT in the JANUS System PowerPoint PPT Presentation
SpeechtoSpeech MT in the JANUS System - Design and Engineering of the JANUS/C-STAR speech-to-speech MT system ... Goodbye. 4/24/00. UMD Seminar. 11. A Non-Task-Oriented Dialogue (We can't translate this. ...
Design and Engineering of the JANUS/C-STAR speech-to-speech MT system ... Goodbye. 4/24/00. UMD Seminar. 11. A Non-Task-Oriented Dialogue (We can't translate this. ...
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Parsing and Analysis for SpeechtoSpeech MT PowerPoint PPT Presentation
Parsing and Analysis for SpeechtoSpeech MT - Disfluencies are common: Filled pauses: uh, um, 'you know' False starts and repairs: 'I got to... Common target representations? ...
Disfluencies are common: Filled pauses: uh, um, 'you know' False starts and repairs: 'I got to... Common target representations? ...
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The Use of Speech in SpeechtoSpeech Translation PowerPoint PPT Presentation
The Use of Speech in SpeechtoSpeech Translation - On the Use of Prosody in a Speech-to-Speech Translator. Strom et al. 1997 ... INTARC - German-English Translator produced for VERBMOBIL project. ...
On the Use of Prosody in a Speech-to-Speech Translator. Strom et al. 1997 ... INTARC - German-English Translator produced for VERBMOBIL project. ...
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Coupling between ASR and MT in SpeechtoSpeech Translation PowerPoint PPT Presentation
Coupling between ASR and MT in SpeechtoSpeech Translation - Tanja's comment: Direct modeling could be skipped. We could focus on telling why/ASR ... Incorporated some comments from Alon, Stephan and the class. ...
Tanja's comment: Direct modeling could be skipped. We could focus on telling why/ASR ... Incorporated some comments from Alon, Stephan and the class. ...
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Coupling between ASR and MT in SpeechtoSpeech Translation PowerPoint PPT Presentation
Coupling between ASR and MT in SpeechtoSpeech Translation - Lattices/Confusion Network/Confidence Estimation (12 s) Results from ... Usage of confusion network and confidence estimation seem to be under-explored. ...
Lattices/Confusion Network/Confidence Estimation (12 s) Results from ... Usage of confusion network and confidence estimation seem to be under-explored. ...
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Lexica and Corpora for SpeechtoSpeech Translation Components PowerPoint PPT Presentation
Lexica and Corpora for SpeechtoSpeech Translation Components - Each sub-domain at least 1 million tokens. Domains for proper names: - First and last names ... Every sub-domain covered 10%-50% Domains for special application words: ...
Each sub-domain at least 1 million tokens. Domains for proper names: - First and last names ... Every sub-domain covered 10%-50% Domains for special application words: ...
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