The 385+ million word Corpus of Contemporary American English (1990―2008+): Design, architecture, and linguistic insights

By Mark Davies. 2009

521 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Gender Studies, Language and Linguistics

View Paper: https://www.semanticscholar.org/paper/2c4f43fbdac5917746f269e94415f29c0ca66583

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Citations in the corpus

Assessing syntactic sophistication in L2 writing: A usage-based approach (2017, unknown): “For all VAC indices, the Corpus of Contemporary American English (COCA; Davies, 2010) was used as a reference corpus and as a proxy for language experience.”
The Sketch Engine: ten years on (2014, background): “The resources for English are outstanding, supporting the exploration of the behaviour of words and phrases across time, genre, and regional varieties (Davies 2009).”
CQPweb — combining power, flexibility and usability in a corpus analysis tool (2012, methodology): “This is the approach taken by Mark Davies (n.d.) in evaluating the corpus.byu.edu architecture (Davies 2005, Davies 2009, Davies 2010; see also Section 2.1 above), a fourth-generation concordance system with many of the same goals as CQPweb in terms of usability, flexibility, and power.”
Literal and Metaphorical Sense Identification through Concrete and Abstract Context (2011, methodology): “These pairs were identi-ﬁed through the Corpus of Contemporary American English (COCA) 11 (Davies, 2009) by seeking the nouns that follow each adjective in the corpus and sorting the candidate adjective-noun pairs by frequency.”
Biases in Predicting the Human Language Model (2014, background): “…work in building balanced corpora used either rough estimates of the ratio of genre styles a normal human is exposed to daily (e.g., the Brown corpus (Kucera and Francis, 1967)), or simply sampled text evenly across genres (e.g., COCA: the Corpus of Contemporary American English (Davies, 2009)).”
Concreteness ratings for 40 thousand generally known English word lemmas (2014, background): “…Project (Balota et al., 2007), the British Lexicon Project (Keuleers et al., 2012; if necessary, spellings were Americanized), the corpus of contemporary American English (Davies, 2009), words used in various rating studies and shop catalogs, and words encountered throughout general reading.”
Detecting Linguistic Characteristics of Alzheimer’s Dementia by Interpreting Neural Models (2018, background): “To distinguish this from a control sample, one needs to know that the word “overspill” is not common in American English (Davies, 2009), and the speaker is correcting themselves by saying “overspilling.”
Error and expectation in language learning: The curious absence of mouses in adult speech (2013, methodology): “These successful tests of the model’s surprising—and falsifiable—predictions on different aspects of language learning are worth noting both because they serve as an important check on our intuitions, and because, as Roberts and Pashler (2000) point out, it is comparatively rare to find instances of”