Subtlex-UK: A New and Improved Word Frequency Database for British English
By Walter J. B. van Heuven, Paweł Mandera, Emmanuel Keuleers, Marc Brysbaert. Quarterly Journal of Experimental Psychology, 2014
1,238 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/40bb56b310c25a201ab5e9a37b0abb48a9e1bfdb
How researchers see this paper
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In Artificial Intelligence
- Paweł Mandera
- Marc Brysbaert
- Emmanuel Keuleers
- Petar Milin
- Michael Ramscar
- R. Harald Baayen
- Piek T. J. M. Vossen
- Emiel van Miltenburg
Citations in the corpus
- Measuring the Diversity of Automatic Image Descriptions (2018, background): “We know that word frequencies follow a Zipfian (or power law ) distribution (Zipf, 1949; Van Heuven et al., 2014; Corral et al., 2015), which means that a small subset of the vocabulary accounts for the largest part of the data.”
- The Word Frequency Effect in Word Processing: An Updated Review (2018, methodology): “To include words with zero frequencies, we recommend also using a Laplace transformation, as documented in van Heuven et al. (2014).”
- Frequency in lexical processing (2016, background): “…brings us to a fundamental problem for a general frequency “norm” (such as proposed by Carroll, 1970; independently nearly half a century later by Van Heuven et al., 2014), namely that it presupposes an ideal native speaker whose language input is properly sampled by the corpus onwhich the…”