Lexique 2 : A new French lexical database

By Boris New, Christophe Pallier, Marc Brysbaert, Ludovic Ferrand. Behavoir research methods, instruments & computers, 2004

941 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Philosophy

View Paper: https://www.semanticscholar.org/paper/a047888622c576ccf06a7708ae18a5d9ec5f09fd

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Citations in the corpus

Reading normal and degraded words: Contribution of the dorsal and ventral visual pathways (2008, background): “All were high-frequency nouns which did not refer to animals (frequency: 5–125 per million; mean: 29 per million) (http://www.lexique.org, New et al., 2004).”
Choosing prediction over explanation in psychology: Lessons from machine learning (2017, background): “…datasets in functional magnetic resonance imaging (fMRI), lexical corpora such as the English Lexicon Project (Balota et al., 2007) or Lexique (New, Pallier, Brysbaert, & Ferrand, 2004) in psycholinguistics, or the American National Election Studies (ANES) data-base in political psychology…”
The use of film subtitles to estimate word frequencies (2007, methodology): “To address this problem, we also compared the subtitle frequencies with written frequencies based on a corpus of 14.8 million words (New et al., 2004).”
CLEARPOND: Cross-Linguistic Easy-Access Resource for Phonological and Orthographic Neighborhood Densities (2012, methodology): “To examine phonological and orthographic neighborhood densities across languages, we selected corpora for the following languages: Dutch (SUBTLEX-NL) [24], English (SUBTLEX-US) [25], French (Lexique) [26], German (SUBTLEX-DE) [27], and Spanish (SUBTLEX-ESP) [28].”
Moving beyond Kučera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English (2009, neutral): “, 1988) and parallel dual-route models (Baayen et al., 1997; New et al., 2004b).”
Interplay between acoustic/phonetic and semantic processes during spoken sentence comprehension: an ERP study. (2011, positive): “…for word frequency (mean = 21.78 occurrences per million, SD 8.28), number of phonological neighbours (mean = 11.81, SD 4.48) and number of phonemes (mean = 4.87, SD .09) across lists and between low- and high-CP sentences (p > .05) using the French lexical database Lexique (New et al., 2004).”
The human auditory cortex concurrently tracks syllabic and phonemic timescales via acoustic spectral flux (2024, unknown): “The number of syllables and phonemes for each individual word from each individual sentence was retrieved from the canonical pronunciation provided in the Lexique database ( 94 ), similar to the procedure in ( 20 ).”