Lexique 2 : A new French lexical database

Springer Science and Business Media LLC - Tập 36 Số 3 - Trang 516-524 - 2004
Boris New1, Christophe Pallier2, Marc Brysbaert1, Ludovic Ferrand3
1Royal Holloway, University of London, London, England
2INSERM, U562 Service Hospitaller Frédéric Joliot, Paris, France
3CNRS and Université René Descartes, Paris, France

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Tài liệu tham khảo

Alario, F.-X., &Ferrand, L. (1999). A set of 400 pictures standardized for French: Norms for name agreement, image agreement, familiarity, visual complexity, image variability, and age of acquisition.Behavior Research Methods, Instruments, & Computers,31,531–552.

Baayen, R. H., Piepenbrock, R., &van Run, H. (1993).The Celex lexical database (CD-ROM). University of Pennsylvania, Philadelphia: Linguistic Data Consortium.

Blair, I. V., Urland, G. R., &Ma, J. E. (2002). Using Internet search engines to estimate word frequency.Behavior Research Methods, Instruments, & Computers,34,286–290.

Coltheart, M., Davelaar, E., Jonasson, J. T., &Besner, T. (1977). Access to the internal lexicon. In S. Dornic (Ed.),Attention and performance VI (pp. 535–555). Hillsdale, NJ: Erlbaum.

Content, A., Mousty, P., &Radeau, M. (1990). BRULEX: Une base de données lexicales informatisée pour le Français écrit et parlé [A lexical computerized database for written and spoken French].L’Année Psychologique,90,551–566.

De Moor, W., &Brysbaert, M. (2000). Neighborhood-frequency effects when primes and targets are of different lengths.Psychological Research,63,159–162.

Ferrand, L., Grainger, J., &New, B. (2003). Normes d’âge d’acquisition pour 400 mots monosyllabiques [Age-of-acquisition norms for a set of 400 monosyllabic words].L’Année Psychologique,104, 445–468.

Francis, N., &Kučera, H. (1982). Frequency analysis of English usage: Lexicon and grammar. Boston: Houghton-Mifflin.

Keller, E., &Zellner, B. (1998). Motivations for the prosodic predictive chain.Proceedings of ESCA Symposium on Speech Synthesis,76, 137–141.

Lambert, E., &Chesnet, D. (2001). Novlex: Une base de données lexicales pour les élèves de primaire [A lexical database for primary school pupils].L’Année Psychologique,101,277–288.

Lété, B., Sprenger-Charolles, L., &Colé, P. (2004). MANULEX: A grade-level lexical database from French elementary school readers.Behavior Research Methods, Instruments, & Computers,36,156–166.

Monsell, S. (1991). The nature and locus of word frequency effects in reading. In D. Besner & G. Humphreys (Eds.),Basic processes in reading: Visual word recognition (pp. 148–197). Hillsdale, NJ: Erlbaum.

Namer, F. (2000). Flemm: Un analyseur flexionnel du Français à base de règles [Flemm: Inflectional analyzer for French with rules].T.A.L,41, 523–548.

New, B., Brysbaert, M., Segui, J., Ferrand, L., & Rastle, K. (in press). The processing of singular and plural nouns in French and English.Journal of Memory & Language.

New, B., Pallier, C., Ferrand, L., &Matos, R. (2001). Une base de données lexicales du Français contemporain sur Internet: LEXIQUE [A lexical database on the Internet about contemporary French: Lexique].L’Année Psychologique,101,447–462.

Pallier, C. (1994).Rôle de la syllabe dans la perception de laparole: Études attentionelles [Syllable role in speech perception]. Thèse de doctorat. Paris: École des Hautes Études en Sciences Sociales. (Available at http://www.pallier.org/papers/).

Peereman, R., &Dufour, S. (2003). Un correctif aux notations phonétiques de la base de données Lexique [A corrective to the phonetic notations of the Lexique database].L’Année Psychologique,103, 103–108.

Pythoud, C. (1996). Problèmes de la correction automatique de l’orthographie lexicale du Français à travers une étude de cas: Le correcteur orthographique ispell et le dictionnaire Français—IREQ [Automatic spell-checking problems: The ispell program and the French—IREQ dictionary] available athttp://www.vuil.ch/ling /frgvt.html.Mémoire de licence, Université de Lausanne.

Robert, P. (1992).Le Grand Robert version électronique. Paris: Dictionnaires le Robert.

Schmid, G. (1994).TreeTagger—A language-independent part-of-speech tagger. Available athttp://www.ims.uni-stuttgart.de/Tools/DecisionTreeTagger.html.