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

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.
Liste complète des métadonnées

https://hal-univ-diderot.archives-ouvertes.fr/hal-01239556
Contributeur : Nicolas Ballier <>
Soumis le : lundi 7 décembre 2015 - 22:33:27
Dernière modification le : lundi 15 octobre 2018 - 13:40:29

Identifiants

  • HAL Id : hal-01239556, version 1

Citation

Thomas Gaillat, Pascale Sébillot, Nicolas Ballier. Automated classification of unexpected uses of this and that in a learner corpus of English. Language and Computers - Studies in Practical Linguistics, Rodopi, 2014, 78 (1), pp.309-324. 〈http://www.researchgate.net/profile/Thomas_Gaillat/publication/266209855_Automated_classification_of_unexpected_uses_of_this_and_that_in_a_learner_corpus_of_English/links/542aa2760cf277d58e874e51.pdf〉. 〈hal-01239556〉

Partager

Métriques

Consultations de la notice

703