By Wolfgang Wahlster
Verbmobil is the results of 8 years of in depth learn in a wide speech-to-speech translation undertaking, performed via a consortium comprising nineteen educational and 4 commercial companions. The method that was once constructed by way of greater than a hundred researchers and engineers handles dialogs in 3 business-oriented domain names, with translation among 3 languages: German, English, and eastern. Verbmobil offers with spontaneous speech, including reasonable fix phenomena, and makes use of deep semantic research to acknowledge a speaker's slips and to translate what he attempted to assert instead of what he truly said.
After greater than four hundred unmarried courses, this ebook supplies the 1st accomplished evaluation of the result of this distinct and seminal venture in human language expertise. The theoretical and useful foundations from sign processing to language knowing are defined intimately. The method anatomy is gifted and the parts for multilingual and powerful speech processing, prosodic research, parsing, semantic research, discourse knowing, translation, new release and speech synthesis are discussed.
Contributions by means of prime scientists in speech and language expertise examine the part applied sciences that make Verbmobil the main complicated speech-to-speech translation approach world wide and a landmark undertaking within the historical past of usual language processing.
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Additional resources for Verbmobil: Foundations of Speech-to-Speech Translation
In this volume. 4 Morphology Two major groups of languages can be distinguished when comparing their morphological properties: languages like English that show exceptionally simple morphological structure, and morphological rich languages like German and Japanese. German is a highly inflected language having a large number of distinct verb con- 14000 Not segmented Japanese Corpus ~ German Corpus ----*---Segmented Japanese Corpus -_ .. -.... _-English COrpUSB 12000 10000 >-. ~ "3 ,D ~ u 0 > 8000 6000 4000 2000 o ~----~------~----~------~----~------~ o 100000 200000 300000 400000 500000 600000 Spoken Word Units Fig.
Our experiments on English and German data using both phoneme- and word-based recognizers gave the error rates shown in Table 2. , 1996). The word based systems outperformed the phoneme based systems. In the Verbmobil system, these higherlevel knowledge sources are readily available, so a word-based approach using language models can easily be implemented. Such an LID component is illustrated in Figure 3. Table 2. , 1996). The LID problem then becomes inseparable from the channel identification problem, which means that the recognizer that produces the best score is not the one that was trained on the right language, but the one that was trained with acoustic data that most resembles the current testdata.
Modeling Negotiation Dialogs. In this volume. 30 Reinhard Karger and Wolfgang Wahlster Auerswald, M. Example-Based Machine Translation with Translation Templates. In this volume. , and Poller,P. The Verbmobil Generation Component VMGECO. In this volume. , U. Example-based Incremental Synchronous Interpretation. In this volume. , and Schiel, F. Verbmobil Data Collection and Annotation. In this volume. , and Rohrer C. Semantic-Based Transfer. In this volume. , and Liingen, H. Speech Lexica and Multilingual Vocabularies.