Multilingual Verbmobil-Dialogs: Experiments, Data Collection and Data Analysis

Jekat, Susanne Johanna; Hahn, Walther von

doi:10.1007/978-3-662-04230-4_41

Cited by 4 publications

(1 citation statement)

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“…MRDA contains 11 general dialogue act labels and 39 specific labels. Finally, Jekat [23] defines for German and Japanese 42 dialogue acts, with 18 dialogue acts at the illocutionary level, in the context of the VERBMOBIL corpus. The ISO standard 24617-2 for dialogue annotation has been published in 2012.…”

Section: Related Workmentioning

confidence: 99%

Automatic dialogue act recognition with syntactic features

Král

Cerisara

2014

Lang Resources & Evaluation

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This work studies the usefulness of syntactic information in the context of automatic dialogue act recognition in Czech. Several pieces of evidence are presented in this work that support our claim that syntax might bring valuable information for dialogue act recognition. In particular, a parallel is drawn with the related domain of automatic punctuation generation and a set of syntactic features derived from a deep parse tree is further proposed and successfully used in a Czech dialogue act recognition system based on Conditional Random Fields. We finally discuss the possible reasons why so few works have exploited this type of information before and propose future research directions to further progress in this area.

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Section: Related Workmentioning

confidence: 99%

Automatic dialogue act recognition with syntactic features

Král

Cerisara

2014

Lang Resources & Evaluation

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Mobile Speech-to-Speech Translation of Spontaneous Dialogs: An Overview of the Final Verbmobil System

Wahlster

2000

Artificial Intelligence

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Abstract. Verbmobil is a speaker-independent and bidirectional speech-to-speech translation system for spontaneous dialogs in mobile situations. It recognizes spoken input, analyses and translates it, and finally utters the translation. The multilingual system handles dialogs in three business-oriented domains, with context-sensitive translation between three languages (German, English, and Japanese). Since Verbmobil emphasizes the robust processing of spontaneous dialogs, it poses difficult challenges to human language technology, that we discuss in this paper. We present Verbmobil as a hybrid system incorporating both deep and shallow processing schemes. We describe the anatomy of Verbmobil and the functionality of its main components. We discuss Verbmobil's multi-blackboard architecture that is based on packed representations at all processing stages. These packed representations together with formalisms for underspecification capture the non-determinism in each processing phase, so that the remaining uncertainties can be reduced by linguistic, discourse and domain constraints as soon as they become applicable. We present Verbmobil's multi-engine approach, eg. its use of five concurrent translation engines: statistical translation, case-based translation, substring-based translation, dialog-act based translation, and semantic transfer. Distinguishing features like the multilingual prosody module and the generation of dialog summaries are highlighted. We conclude that Verbmobil has successfully met the project goals with more than 80% of approximately correct translations and a 90% success rate for dialog tasks.

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