MANULEX: A grade-level lexical database from French elementary school readers
By Bernard Lété, Liliane Sprenger-Charolles, Pascale Colé. Behavoir research methods, instruments & computers, 2004
487 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cognitive Neuroscience, Developmental and Educational Psychology
View Paper: https://www.semanticscholar.org/paper/8adc7c37952345a4cc5b963ff3df6a33f7d5818e
How researchers see this paper
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In Artificial Intelligence
- Marc Brysbaert
- Boris New
- Guy Politzer
- Nausicaa Pouscoulous
- A. Bastide
- Lynne G. Duncan
- S. Casalis
- Benoît Lemaire
In Cognitive Neuroscience
- Marc Brysbaert
- Marie-Line Bosse
- Sylviane Valdois
- Boris New
- Lynne G. Duncan
- S. Casalis
- M. Tainturier
- Ira A. Noveck
In Developmental and Educational Psychology
- Marc Brysbaert
- Marie-Line Bosse
- Sylviane Valdois
- Boris New
- Pascale Colé
- Lynne G. Duncan
- S. Casalis
- M. Tainturier
Citations in the corpus
- Early metalinguistic awareness of derivational morphology: Observations from a comparison of English and French (2009, methodology): “, 2003), and in French (MANULEX; Lété et al., 2004).”
- A Developmental Investigation of Processing Costs in Implicature Production (2007, result): “This assumption is in line with corpus analyses showing that certains is less frequent than quelques in children’s written production (Lambert and Chesnet (2001)), and is less frequent in children’s books (Lété, Sprenger-Charolles, and Colé (2004)).”
- A MDL-based Model of Gender Knowledge Acquisition (2008, methodology): “We constructed a learning corpus by randomly selecting in this database 200,000 words and their gender such that their distribution is akin to their frequency distribution in Manulex .”
- Lexique 2 : A new French lexical database (2004, background): “, Voisins, Manulex Wordforms and Lemmas (Lété et al., 2004), Prénoms, and Anagrammes.”
- Developmental dyslexia: the visual attention span deficit hypothesis. (2007, result): “... exception words of high (HF, e.g., “sept” seven) or low frequency (LF; e.g., “paon” peacock), and two lists of 20 HF (e.g., “nuit” night) and LF (e.g., “bise” north wind) regular words (see Appendix A). The four word lists (ODEDYS Test, Jacquier-Roux, Valdois, & Zorman, 2002) were matched for le”