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Advances in Automatic Speech Recognition by Imitating Spreading Activation

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Text, Speech and Dialogue (TSD 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2807))

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Abstract

Inspired by recent insights into the properties of statistical word co-occurrences, we propose a mechanism which imitates spreading activation in the human mind in order to improve the identification of words during the automatic speech recognition process. This mechanism is able to make accurate semantic predictions about the currently uttered word as well as about words which are likely to come in the rest of a sentence. A robust automatic disambiguation algorithm provides a framework for semantic clustering, which allows to avoid the inherent polysemy problem.

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References

  1. Banerjee, S.: Adapting the Lesk Algorithm for Word Sense Disambiguation to WordNet. Department of Computer Science University of Minnesota, Duluth, Minnesota 55812 (2002)

    Google Scholar 

  2. Bordag, S.: Vererbungsalgorithmen von semantischen Eigenschaften auf Assoziationsgraphen und deren Nutzung zur Klassifikation von natürlichsprachlichen Daten, Diplomarbeit, Universit ät Leipzig, Institut für Mathematik und Informatik (2002)

    Google Scholar 

  3. Bordag, S.: Sentence Co-occurrences as Small-World Graphs:Asolution toAutomatic Lexical Disambiguation. In: Gelbukh, A. (ed.) CICLing 2003. LNCS, vol. 2588, pp. 329–332. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  4. Caramazza, A.: How many levels of processing are there in lexical access? Cognitive Neuropsychology 14, 177–208 (1997)

    Article  Google Scholar 

  5. Dell, G.S.: A spreading-activation model of retrieval in sentence production. Psychological Review 93, 231–241 (1986)

    Article  Google Scholar 

  6. Garrett, M.F.: Levels of processing in sentence production. In: Butterworth, B. (ed.) Language Production: Vol. 1. Speech and Talk, pp. 177–220. Academic Press, San Diego (1980)

    Google Scholar 

  7. Heyer, G., Läuter, M., Quasthoff, U., Wittig, T., Wolff, C.: Learning Relations using Collocations. In: Maedche, S., Staab, C., Nedellec, C., Hovy, E. (eds.) Proc. IJCAI Workshop on Ontology Learning, Seattle/WA, August 19-24 (2001)

    Google Scholar 

  8. Kleinberg, J.: The small-world phenomenon: An algorithmic perspective. In: Proc. 32nd ACM Symposium on Theory of Computing (2000)

    Google Scholar 

  9. Lesk, M.: Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from a ice cream cone. In: Proceedings of SIGDOC 1986 (1986)

    Google Scholar 

  10. Levelt, W.J.M.: Speaking: From intention to articulation. MIT Press, Cambridge (1989)

    Google Scholar 

  11. Levelt, W.J.M., Roelofs, A., Meyer, A.S.: A theory of lexical access in speech production. Behavioral and Brain Sciences 22, 1–75 (1999)

    Google Scholar 

  12. Läuter, M., Quasthoff, U.: Kollokationen und semantisches Clustering. GLDV-Tagung (1999)

    Google Scholar 

  13. Patwardhan, S., Banerjee, S., Pedersen, T.: Using Measures of Semantic Relatedness for Word Sense Disambiguation. In: Gelbukh, A. (ed.) CICLing 2003. LNCS, vol. 2588, pp. 241–257. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  14. Quasthoff, U., Wolff, C.: The Poisson Collocation Measure and its Applications. In: Proc. Second International Workshop on Computational Approaches to Collocations, Wien (2002)

    Google Scholar 

  15. Rosso, P., Masulli, F., Buscaldi, D., Pla, F., Molina, A.: Automatic Noun Sense Disambiguation. In: Gelbukh, A. (ed.) CICLing 2003. LNCS, vol. 2588, pp. 273–276. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  16. Steyvers, M., Tenenbaum, J.B.: The large-scale structure of semantic networks: statistical analyses and a model of semantic growth. Steyvers, M., Tenenbaum, J. B., Cognitive Science (2002)

    Google Scholar 

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Bordag, S., Bordag, D. (2003). Advances in Automatic Speech Recognition by Imitating Spreading Activation. In: Matoušek, V., Mautner, P. (eds) Text, Speech and Dialogue. TSD 2003. Lecture Notes in Computer Science(), vol 2807. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39398-6_23

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  • DOI: https://doi.org/10.1007/978-3-540-39398-6_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20024-6

  • Online ISBN: 978-3-540-39398-6

  • eBook Packages: Springer Book Archive

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