SUBTLEX-NL: A new measure for Dutch word frequency based on film subtitles
By Emmanuel Keuleers, Marc Brysbaert, Boris New. Behavior Research Methods, 2010
499 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Developmental and Educational Psychology
View Paper: https://www.semanticscholar.org/paper/14b61d427ffe0b958a3d70ec24dbf0563a829e08
How researchers see this paper
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In Artificial Intelligence
- Paweł Mandera
- Emmanuel Keuleers
- Marc Brysbaert
- Walter J. B. van Heuven
- Viorica Marian
- James Bartolotti
- Anthony Shook
- Sarah Chabal
In Developmental and Educational Psychology
- Marc Brysbaert
- Paweł Mandera
- Emmanuel Keuleers
- Walter J. B. van Heuven
- Viorica Marian
- James Bartolotti
- Anthony Shook
- Sarah Chabal
Citations in the corpus
- What do verbal fluency tasks measure? Predictors of verbal fluency performance in older adults (2014, methodology): “The frequency of the object names covered a broad range (log frequency 0–3.58), with an average log frequency of 1.43 (SD = 0.61) according to the SUBTLEX-NL database (Keuleers et al., 2010).”
- Subtlex-UK: A New and Improved Word Frequency Database for British English (2014, background): “This is larger than the other existing subtitle corpora (Brysbaert & New, 2009; Cai & Brysbaert, 2010; Cuetos et al., 2011; Dimitropoulou et al., 2010; Keuleers et al., 2010) 2 and allowed us to calculate more precise parts-of-speech dependent frequencies and word bigrams.”
- CLEARPOND: Cross-Linguistic Easy-Access Resource for Phonological and Orthographic Neighborhood Densities (2012, methodology): “Selection of Corpora 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].”