Machine-Aided Linguistic Discovery - An Introduction and Some Examples - Vladimir Pericliev

Machine-Aided Linguistic Discovery - An Introduction and Some Examples - Vladimir Pericliev

Introducing the Basic Notions

Machine-Aided Linguistic Discovery - An Introduction and Some Examples - Vladimir Pericliev

Vladimir Pericliev [+-]
Bulgarian Academy of Sciences
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Vladimir Pericliev is Senior Researcher at the Institute of Mathematics & Informatics, Bulgarian Academy of Sciences, with over 60 publications in general and computational linguistics, Artificial Intelligence and philosophy of science.

Description

Machine, or machine-aided, linguistic discovery is a discipline concerned with the automated solving of (substantial parts) of important linguistic problems. In this chapter, I introduce some preliminary notions, using as illustrations four famous discoveries from the history of linguistics, viz. Saussure’s discovery of the concept of “linguistic system”, Jones’s discovery of Indo-European, Greenberg’s implicational universals, and Verner’s law. I define linguistic discovery and look at objects and types of linguistic discovery, then discuss the major factors for discovery: intuition, chance, and problem solving. Previous attempts at automating the (linguistic) discovery process are briefly reviewed, and the central notion of “task of linguistic discovery” is introduced.

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Citation

Pericliev, Vladimir . Introducing the Basic Notions. Machine-Aided Linguistic Discovery - An Introduction and Some Examples. Equinox eBooks Publishing, United Kingdom. p. 1-49 Jan 2010. ISBN 9781845536602. https://www.equinoxpub.com/home/view-chapter/?id=25564. Date accessed: 24 Jun 2024 doi: 10.1558/equinox.25564. Jan 2010

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