Word Frequencies in Written and Spoken English: based on the British National Corpus

By Geoff Wilson. 2001

537 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology, Language and Linguistics

View Paper: https://www.semanticscholar.org/paper/003969511c37448306fb951dba378c6c8561f4ce

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Citations in the corpus

COGS: A Compositional Generalization Challenge Based on Semantic Interpretation (2020, methodology): “We selected the 403 common nouns in our lexical inventory from the MacArthur-Bates Communicative Development Inventories (Fenson et al., 2007) and the British National Corpus (Leech et al., 2001).”
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, background): “…Baayen, Piepenbrock, & van Rijn, 1993), - HAL (based on 130+ million words; Burgess & Livesay, 1998), - BNC written (based on 88 million words; Leech et al., 2001), - Zeno (based on 17 million words; Zeno et al., 1995), - SUBTL (based on 51 million words from American subtitles; the present…”
Pure grammaticalization: The development of a teenage intensifier (2006, background): “Variation in an English dialect.”
A visual analytics approach to understanding cycling behaviour (2012, unknown): “An introduction to C-IL 2 P is also presented, followed by a review of propositionalization and feature selection.”
Beyond single words: the most frequent collocations in spoken English (2007, methodology): “3 All the pivot words had to occur in the most frequent 1,000 content words of English according to the spoken word frequency list by Leech, Rayson, and Wilson (2001), available at http://www.comp.lancs.ac.uk/ ucrel/bncfreq/flists.html.”
Dispersions and adjusted frequencies in corpora (2008, background): “…Gries However, even though this is apparently not recognized much in the field, frequencies of (co-)occurrence may sometimes be incredibly misleading.1 An instructive example for how raw frequencies can be misleading indicators of the overall importance of words is discussed by Leech et al. (2001).”
The Impact of Intensive Mindfulness Training on Attentional Control, Cognitive Style, and Affect (2008, methodology): “The frequency of use of these words was balanced based on the corpus by Leech, Rayson, and Wilson (2001) , and the number of letters in each word was balanced between the two semantic groups.”
The Relationship of Lexical Richness to the Quality of ESL Learners' Oral Narratives. (2012, background): “Results of the meta-analysis also revealed nonsignificant combined correlations for both LS1 (ρ = .011, p = .836) and LS2 (ρ = .048, p .355).”
The Dynamics of Second Language Emergence: Cycles of Language Use, Language Change, and Language Acquisition (2008, background): “Consider the following snippet of ESL, a classic piece from Lightbown and Spada (1999) that has introduced many students to the study of SLA.”
Adult learners’ retention of collocations from exposure (2010, background): “This places them within the top 2150 most frequent words in the corpus but outside of the top 1100 (Leech et al., 2001).”
OPI-JSA at SemEval-2017 Task 1: Application of Ensemble learning for computing semantic textual similarity (2017, methodology): “We have used precomputed Word2Vec vectors from GloVe dataset (300 dimensions) (Pennington et al., 2014) for words in sentence pairs and British National Corpus dataset (Leech, 2016) to obtain information about PoS of given word.”
Biases in use of positive and negative words across twenty natural languages (2010, background): “…findings come from Peeters (1974); when high school and university students were asked to rate similarities between the meanings of terms, they rated the negative/negated positive pair (e.g., ‘‘grim’’ and 1 The Leech et al. (2001) database does not report frequencies below 10 in 1,000,000 words.”
A Phrasal Expressions List (2012, methodology): “Automated identification can reliably identify only some of the potential PHRASE List candidates that would meet this condition (cf. Blackwell 1987; Leech et al. 2001; Ellis et al. 2008).”