2004
DOI: 10.3758/bf03195598
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Lexique 2 : A new French lexical database

Abstract: In this article, we present a new lexical database for French: Lexique. In addition to classical word information such as gender, number, and grammatical category, Lexique includes a series of interesting new characteristics. First, word frequencies are based on two cues: a contemporary corpus of texts and the number of Web pages containing the word. Second, the database is split into a graphemic table with all the relevant frequencies, a table structured around lemmas (particularly interesting for the study o… Show more

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Cited by 803 publications
(687 citation statements)
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“…Fifty-four pairs of bisyllabic words with a consonant-vowel first syllable were selected in Lexique (New et al, 2004) according to leader strength, computed as the ratio of the frequency of the highest frequency neighbour to the summed frequency of the HFSNs. In each pair, one of the words had a high leader strength (high LS word), meaning that its highest frequency syllabic neighbour was much more frequent than other HFSNs, while the other had a low leader strength (low LS word), that is no leader highly distinguishable from other HFSNs.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Fifty-four pairs of bisyllabic words with a consonant-vowel first syllable were selected in Lexique (New et al, 2004) according to leader strength, computed as the ratio of the frequency of the highest frequency neighbour to the summed frequency of the HFSNs. In each pair, one of the words had a high leader strength (high LS word), meaning that its highest frequency syllabic neighbour was much more frequent than other HFSNs, while the other had a low leader strength (low LS word), that is no leader highly distinguishable from other HFSNs.…”
Section: Methodsmentioning
confidence: 99%
“…To manipulate syllable frequency, 80 pairs of bisyllabic words with a consonant-vowel first syllable were selected in the French lexical database Lexique (New, Pallier, Brysbaert, & Ferrand, 2004) according to the frequency of their first phonological syllable. Syllable frequencies were drawn from the InfoSyll database (Chetail & Mathey, 2010).…”
Section: Methodsmentioning
confidence: 99%
“…Target words were matched one with another (all P's > 0.1) for their number of letters (idiom-related: 7.6 (±3), word-related: 6.6 (±2), unrelated: 7.6 (±2.4), non-word targets: 6.6 (±1.2)) and of phonemes (idiom-related: 6.2 (±2.9), word-related: 5 (±1.9), unrelated: 5.9 (±2.2), non-word targets: 4.7 (±0.8)). Furthermore, idiom-related targets, word-related targets and unrelated target words were matched one with another (all P's > 0.1) for their log-transformed token frequency according to the LEX-IQUE 2 database (New, Pallier, Brysbaert, & Ferrand, 2004) (idiom-related targets 50 per million (±107.2), word-related targets 28.3 per million (±38.6), unrelated targets 36 per million (±89.2)).…”
Section: Methodsmentioning
confidence: 99%
“…Two lists of 1250 words each were created from the French lexical database Lexique 2 (New et al, 2004). The first list F+ included words of high frequency of occurrence (45.03 < F+ < 13896.7 per million) whereas the second list F-included low-frequency words (0.03 < F-< 1 p/m).…”
Section: Multi-talker Babblementioning
confidence: 99%