Automated classification of unexpected uses of this and that in a learner corpus of English

Thomas Gaillat (), Pascale Sébillot () and Nicolas Ballier ()
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Thomas Gaillat: CLILLAC-ARP (EA_3967) - Centre de Linguistique Inter-langues, de Lexicologie, de Linguistique Anglaise et de Corpus - UPD7 - Université Paris Diderot - Paris 7
Pascale Sébillot: LinkMedia - Creating and exploiting explicit links between multimedia fragments - Centre Inria de l'Université de Rennes - Inria - Institut National de Recherche en Informatique et en Automatique - IRISA-D6 - MEDIA ET INTERACTIONS - IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires - UR - Université de Rennes - INSA Rennes - Institut National des Sciences Appliquées - Rennes - INSA - Institut National des Sciences Appliquées - UBS - Université de Bretagne Sud - ENS Rennes - École normale supérieure - Rennes - Inria - Institut National de Recherche en Informatique et en Automatique - Télécom Bretagne - CentraleSupélec - CNRS - Centre National de la Recherche Scientifique
Nicolas Ballier: CLILLAC-ARP (EA_3967) - Centre de Linguistique Inter-langues, de Lexicologie, de Linguistique Anglaise et de Corpus - UPD7 - Université Paris Diderot - Paris 7

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Abstract: This paper deals with the way learners make use of the demonstratives this and that. NLP tools are applied to classify occurrences of native and non-native uses of the two forms. The objective of the two experiments is to automatically identify expected and unexpected uses. The textual environment of all the occurrences is explored at text and PoS level to uncover features which play a role in the selection of a particular form. Results of the first experiment show that the PoS features predeterminer and determiner, which are found in the close context of occurrences, help identify unexpected learner uses among many occurrences also including native uses. The second experiment shows evidence that the PoS features plural noun and coordinating conjunction influence the unexpected uses of the demonstratives by learners. This study shows that NLP tools can be used to explore texts and uncover underlying grammatical categories that play a role in the selection of specific words. 2 Thomas Gaillat

Date: 2014
Note: View the original document on HAL open archive server: https://hal.science/hal-01058760v2
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Published in Lieven Vandelanotte; Kristin Davidse; Caroline Gentens. Recent Advances in Corpus Linguistics: Developing and Exploiting Corpora, 78, Brill, pp.309-324, 2014, Rodopi Language and Linguistics Special E-Book, ⟨10.1163/9789401211130_015⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01058760

DOI: 10.1163/9789401211130_015

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