Table of ContentsPervasive Speech and Language Technology Pervasive Speech and Language Technology Pervasive Speech and Language Technology Three Levels of Language Processing Challenges for Language Engineering Context-Sensitive Speech-to-Speech Translation Mobile Speech-to-Speech Translation of Spontaneous Dialogs Mobile Speech-to-Speech Translation of Spontaneous Dialogs Speech-to-Speech Translation The Control Panel of Verbmobil General Speech Recognition Task Word Hypotheses Graphs (WHGs) Massive Data Collection Efforts Extracting Statistical Properties from Large Corpora From Multi-Agent Architectures to a Multi-Blackboard Architectures A Multi-Blackboard Architecture for the Combination of Results from Deep and Shallow Processing Modules The Use of Prosodic Information at All Processing Stages Competing Strategies for Robust Speech Translation Integrating Shallow and Deep Analysis Components in a Multi-Blackboard Architecture VHG: A Packed Chart Representation of Partial Semantic Representations The Understanding of Spontaneous Speech Repairs Automatic Understanding and Correction of Speech Repairs in Spontaneous Telephone Dialogs Robust Dialog Semantics: Combining and Completing Partial Representations Integrating Deep and Shallow Processing: Combining Results from Concurrent Translation Threads Unit Selection Algorithm Linguatronic : Spoken Dialogs with Mercedes-Benz International Research Trends in Multilingual Systems Conclusion I Conclusion II Conclusion III Open Problems for the Next Decade A Speculative Conclusion (+50 years) |
Author: Wolfgang Wahlster
E-Mail: wahlster@dfki.de |