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Academic Paper


Title: Extensive data for morphology: using the World Wide Web
Author: Nabil Hathout
Institution: CLLE-ERSS – Université de Toulouse - Le Mirail
Author: Fabio Montermini
Institution: CNRS
Author: Ludovic Tanguy
Institution: CLLE-ERSS – Université de Toulouse - Le Mirail
Linguistic Field: Morphology; Text/Corpus Linguistics
Subject Language: French
Abstract: This paper presents a number of recent studies in French morphology which make extensive use of data. These data relating to derived words have been automatically collected from digital corpora, mostly from the Web. The main point developed here is that this massive increase in the amount of available data can substantially modify the results of a morphological study, and can lead to new theoretical conclusions that would not have been possible with traditional data such as wordlists gathered from dictionaries. However, using the Web as a corpus brings up several technical and methodological questions, which are dealt with through examples and discussions about the different tools and techniques available. We exemplify our thesis through the study of the suffixal forms: -esque, -este, -able, -ment.

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This article appears IN Journal of French Language Studies Vol. 18, Issue 1, which you can READ on Cambridge's site or on LINGUIST .



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