Rapid Prototyping of Robust Language Understanding Modules for Spoken Dialogue Systems

Yuichiro Fukubayashi, Kazunori Komatani, Mikio Nakano, Kotaro Funakoshi, Hiroshi Tsujino, Tetsuya Ogata, Hiroshi G. Okuno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Language understanding (LU) modules for spoken dialogue systems in the early phases of their development need to be (i) easy to construct and (ii) robust against various expressions. Conventional methods of LU are not suitable for new domains, because they take a great deal of effort to make rules or transcribe and annotate a suf- _cient corpus for training. In our method, the weightings of the Weighted Finite State Transducer (WFST) are designed on two levels and simpler than those for conventional WFST-based methods. Therefore, our method needs much fewer training data, which enables rapid prototyping of LU modules. We evaluated our method in two different domains. The results revealed that our method outperformed baseline methods with less than one hundred utterances as training data, which can be reasonably prepared for new domains. This shows that our method is appropriate for rapid prototyping of LU modules.

Original languageEnglish
Title of host publicationIJCNLP 2008 - 3rd International Joint Conference on Natural Language Processing, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages210-216
Number of pages7
ISBN (Electronic)9780000000002
Publication statusPublished - 2008
Externally publishedYes
Event3rd International Joint Conference on Natural Language Processing, IJCNLP 2008 - Hyderabad, India
Duration: 2008 Jan 72008 Jan 12

Publication series

NameIJCNLP 2008 - 3rd International Joint Conference on Natural Language Processing, Proceedings of the Conference
Volume1

Conference

Conference3rd International Joint Conference on Natural Language Processing, IJCNLP 2008
Country/TerritoryIndia
CityHyderabad
Period08/1/708/1/12

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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