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Acquisition and Exploitation of Textual Resources for NLP

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Current Issues in Computational Linguistics: In Honour of Don Walker

Part of the book series: Linguistica Computazionale ((LICO,volume 9))

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Abstract

Electronic access to large collections of texts and their translations provides a new resource for language analysis and translation studies. Empirical and statistical methods offer the means to organize the data and develop alternative models in view of a better understanding of our use of language. From a practical point of view they provide a basis for progress in the performance of NLP systems. A prerequisite for this work is the availability of machine-readable texts in an appropriate format. This paper will present current initiatives to acquire and prepare the necessary textual resource for corpus-based work and review current methods under development to exploit the data.

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Authors and Affiliations

  1. ISSCO, University of Geneva, Schweiz

    Susan Armstrong-Warwick

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  1. Susan Armstrong-Warwick
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Antonio Zampolli Nicoletta Calzolari Martha Palmer

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© 1994 Springer Science+Business Media Dordrecht

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Armstrong-Warwick, S. (1994). Acquisition and Exploitation of Textual Resources for NLP. In: Zampolli, A., Calzolari, N., Palmer, M. (eds) Current Issues in Computational Linguistics: In Honour of Don Walker. Linguistica Computazionale, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-0-585-35958-8_23

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  • DOI: https://doi.org/10.1007/978-0-585-35958-8_23

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-0-7923-2998-5

  • Online ISBN: 978-0-585-35958-8

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