Table of ContentsRobust Translation of Spontaneous Speech: A Multi-Engine Approach Mobile Speech-to-Speech Translation of Spontaneous Dialogs Mobile Speech-to-Speech Translation of Spontaneous Dialogs Robust Realtime Translation with Verbmobil Outline Telephone-based Dialog Translation Verbmobil: The First Speech-Only Dialog Translation System Verbmobil is a Multilingual System Verbmobil Partner Three Levels of Language Processing Challenges for Language Engineering Verbmobil II: Three Domains of Discourse Context-Sensitive Speech-to-Speech Translation The Control Panel of Verbmobil Verbmobil‘s Massive Data Collection Effort Extracting Statistical Properties from Large Corpora Multilinguality Language Identification (LID) From a Multi-Agent Architecture to a Multi-Blackboard Architecture Multi-Blackboard/Multi-Engine Architecture A Multi-Blackboard Architecture for the Combination of Results from Deep and Shallow Processing Modules VIT (Verbmobil Interface Terms) as a Multi-Stratal Representation Language VIT for ‘He is coming at the beginning of August‘ Information between Layers Linked Together Using Constant Symbols The Use of Underspecified Representations Verbmobil is the First Dialog Translation System that Uses Prosodic Information Systematically at All Processing Stages Using Syntactic-Prosodic Boundaries to Speed-Up the Parsing Process Integrating Shallow and Deep Analysis Components in a Multi-Engine Approach Automatic Understanding and Correction of Speech Repairs in Spontaneous Telephone Dialogs The Understanding of Spontaneous Speech Repairs VHG: A Packed Chart Representation of Partial Semantic Representations Semantic Correction of Recognition Errors Robust Dialog Semantics: Deep Processing of Shallow Structures Robust Dialog Semantics: Combining and Completing Partial Representations Competing Strategies for Robust Speech Translation Architecture of the Semantic Transfer Module Lexical Disambiguation On-Demand Three English Translations of the German Word “Termin” Found in the Verbmobil Corpus Entries in the Transfer Lexicon: German ? English (Simplified) Using Context and World Knowledge for Semantic Transfer Integrating Deep and Shallow Processing: Combining Results from Concurrent Translation Threads A Context-Free Approach to the Selection of the Best Translation Result Learning the Normalizing Factors Alpha and Beta from an Annotated Corpus Integrating a Deep HPSG-based Analysis with Probabilistic Dialog Act Recognition for Semantic Transfer The Dialog Act Hierarchy used for Planning, Prediction, Translation and Generation Learning of Probabilistic Plan Operators from Annotated Corpora Automatic Generation of Multilingual Summaries of Telephone Conversations Dialog Summary Microplanning: Create Syntactic Building Blocks Speeding Up the Language Generation Process by the Compilation of the HPSG Grammar to an LTAG Generation Grammar Corpus-based Speech Synthesis Verbmobil: Long-Term, Large-Scale Funding and Its Impact Verbmobil: Long-Term, Large-Scale Funding and Its Impact Distribution of Sentence Length in Large-Scale Evaluation Evaluation Results Results of End-to-End Evaluation Based on Dialog Task Completion for 31 Trials Checklist for Final Verbmobil System Results of the Verbmobil Project have been used in 20 Spin-Off Products by the Industrial Partners DaimlerChrysler, Philips and Siemens Linguatronic : Spoken Dialogs with a Mercedes-Benz Spoken Dialogs about Schedules Successful Technology Transfer: 8 High-Tec Spin-Off Companies in the Area of Language Technology have been founded by Verbmobil Researchers Verbmobil was the Key Resource for the Education and Training of Researchers and Engineers Needed to Build Up Language Industry in Germany From Spoken Dialog to Multimodal Dialog Merging Various User Interface Paradigms SmartKom: Intuitive Multimodal Interaction SmartKom-Mobile: A Handheld Communication Assistant SmartKom: Multimodal Dialogs with a Life-like Character Verbmobil is a Very Large Dialog System Lessons Learned from Verbmobil Conclusions and Take-Home Messages Conclusions and Take-Home Messages Conclusions and Take-Home Messages Conclusions and Take-Home Messages Conclusions and Take-Home Messages Open Problems: Further Reading The Verbmobil Book |
Author:Wolfgang Wahlster
E-Mail: wahlster@dfki.de Homepage: http://www.dfki.de/~wahlster |