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An Algorithm for Automatic Grammatical Classes Definition

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Contributions to Quantitative Linguistics
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Abstract

Systems based on Markovian processes for the prediction of a few grammatical classes in written text have a good performance in response time and prediction accuracy. Nevertheless, such systems are still far from an acceptable performance concerning memory requirements and time response when using a detailed set of grammatical classes (Boves; Refice 1987).

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References

  • Billi, R. et al. (1989): A PC-based very large Vocabulary Isolated Word Recognition System. In: Eurospeech-89, vol.2. Paris, 157–160

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  • Boves, L.; Refice, M. (1987): The Linguistic Processor in A Multi-lingual Text-to-Speech and Speech-to-Text Conversion System. In: European Conference on Speech Technology, vol.I. Edinburgh, 385–288

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  • Dermatas, E.; Kokkinakis, G. (1988): Semi-Automatic Labelling of Greek Texts. In: 7th FASE Symposium SPEECH’88, Book 1, Edinburgh. 239–245

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  • Dermatas, E.; Kokkinakis, G. (1989): A System for Automatic Text Labelling. In: Eurospeech-89. Paris, 382–385

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  • Senders, W.; Kugler, M.; Boves, L. (1989): Simultaneous Optimization of several variables in a Probabilistic Language Model. In: Eurospeech-89, vol.2. Paris, 63–68

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© 1993 Springer Science+Business Media Dordrecht

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Dermatas, E., Kokkinakis, G. (1993). An Algorithm for Automatic Grammatical Classes Definition. In: Köhler, R., Rieger, B.B. (eds) Contributions to Quantitative Linguistics. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1769-2_11

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  • DOI: https://doi.org/10.1007/978-94-011-1769-2_11

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-4777-7

  • Online ISBN: 978-94-011-1769-2

  • eBook Packages: Springer Book Archive

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