MRC Psycholinguistic Database

By Michael Wilson. 2001

1,505 citations recorded by the source corpus.

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Citations in the corpus

Multimodal Distributional Semantics (2013, methodology): “The paradigm words were in turn selected with a supervised learning method trained on subject-rated words from the MRC Psycholinguistic Database Machine Usable Dictionary (Coltheart, 1981).”
Controlling User Perceptions of Linguistic Style: Trainable Generation of Personality Traits (2011, methodology): “We then computed post hoc features consisting of the actual generation decisions, surface word n -grams, and content-analysis features from the Linguistic Inquiry and Word Count (LIWC) tool (Pennebaker, Francis, and Booth 2001) and the MRC psycholinguistic database (Coltheart 1981).”
Interlingual homograph interference in German–English bilinguals: Its modulation and locus of control (2002, methodology): “We then matched several purely English words to each IH in terms of word length (number of letters and syllables), grammatical type, word frequency (KucÏera and Francis, 1967), concreteness and imageability (derived from Appendix 2 of the MRC Psycholinguistic Database User Manual, Coltheart, 1981). ”
Age-of-acquisition effects in word and picture identification. (2005, methodology): “Also like AoA, there are ratings available for these measures on the MRC Psycholinguistic Database (M. Coltheart, 1981).”
Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text (2018, methodology): “Similarly, we extract the concreteness score for individual words within slogans using the MRC dataset [7], and calculate the max, median, mean and stdev.”
WordGen: A tool for word selection and nonword generation in Dutch, English, German, and French (2004, background): “In English, there is the MRC Psycholinguistic Database (Coltheart, 1981), which contains a large number of lexical properties of words, such as number of syllables, word frequency, imageability, age-of-acquisition, part of speech, stress construction of non-word items there is the ARC non-word…”
Effects of Emotion on Memory Specificity: Memory Trade-Offs Elicited by Negative Visually Arousing Stimuli. (2007, result): “were of comparable frequency and familiarity (as reported in the MRC database, Coltheart, 1981, p > .2).”
Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013, background): “By examining what words people use, researchers have long sought a better understanding of human psychology [17–19].”
Using Eye Movements to Investigate Word Frequency Effects in Children's Sentence Reading (2013, methodology): “…familiarity, imageability, and concreteness (semantic variables taken from ratings of how familiar, easy-to-imagine, and concrete a word is that are known to influence reading times), as well as number of morphemes, phonemes, and syllables were obtained from the MRC database (M. Coltheart, 1981).”
Interference-Based Forgetting in Verbal Short-Term Memory. (2008, background): “Distractors consisted of a random list of common words taken from the MRC psycholinguistics database (Coltheart, 1981; Wilson, 1987).”
Deficits in phonology and past-tense morphology: What's the connection? (2003, methodology): “A further 126 regular single syllable verbs were selected; and this 252item set included a subset of 34 regular and 34 irregular verbs matched pairwise for CV structure of the pasttense forms, rated imageability of the stem forms (Bird, Franklin, & Howard, 2001; Coltheart, 1981), and frequency.”
The Processing of Formulaic Sequences by Second Language Speakers. (2007, background): “It was not always possible to find a word of the same frequency and length, but an effort was made to make sure that the overall frequency and length of the two sets of sequences were matched on the basis of the MRC Psycholinguistic Database (Coltheart, 1981).”
Inner speech is used to mediate short-term memory, but not planning, among intellectually high-functioning adults with autism spectrum disorder (2012, methodology): “All items were one syllable in length and matched for word frequency as indexed by Kucera and Francis (1967) and Thorndike and Lorge (1944) counts, and for imageability and concreteness as reported in the MRC Psycholinguistic Database (Coltheart, 1981).”
The Acquisitive Nature of Extraverted CEOs (2017, methodology): “Based on previous research that linked measurable linguistic features to personality traits, they extracted relevant features from these texts, including frequency counts of 88 word categories from the LIWC and 14 additional features from the MRC Psycholinguistic database (Coltheart, 1981).”
Linguistic Features of Writing Quality (2010, methodology): “For example, the MRC database Medical Research Council (MRC) Psycholinguistic Database provides psycholinguistic information about words (Coltheart, 1981); WordNet provides linguistic and semantic features of words as well as semantic relationships between words (Miller, Beckwith, Fellbaum, Gross,…”
Separating the Brain Regions Involved in Recollection and Familiarity in Recognition Memory (2005, methodology): “Stimulus lists were created from a pool of 921 words, selected pseudorandomly from the Medical Research Council Psycholinguistics Database (http://www.psy.uwa.edu.au/mrcdatabase/uwa_mrc.htm) (Coltheart , 1981).”