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MRC Psycholinguistic Database

14 Sep 2001-
About: The article was published on 2001-09-14 and is currently open access. It has received 945 citations till now.
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Journal ArticleDOI
25 Sep 2013-PLOS ONE
TL;DR: This represents the largest study, by an order of magnitude, of language and personality, and found striking variations in language with personality, gender, and age.
Abstract: We analyzed 700 million words, phrases, and topic instances collected from the Facebook messages of 75,000 volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age. In our open-vocabulary technique, the data itself drives a comprehensive exploration of language that distinguishes people, finding connections that are not captured with traditional closed-vocabulary word-category analyses. Our analyses shed new light on psychosocial processes yielding results that are face valid (e.g., subjects living in high elevations talk about the mountains), tie in with other research (e.g., neurotic people disproportionately use the phrase ‘sick of’ and the word ‘depressed’), suggest new hypotheses (e.g., an active life implies emotional stability), and give detailed insights (males use the possessive ‘my’ when mentioning their ‘wife’ or ‘girlfriend’ more often than females use ‘my’ with ‘husband’ or 'boyfriend’). To date, this represents the largest study, by an order of magnitude, of language and personality.

1,435 citations


Cites background from "MRC Psycholinguistic Database"

  • ...By examining what words people use, researchers have long sought a better understanding of human psychology [17–19]....

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Journal ArticleDOI
TL;DR: A comparison with the existing concreteness norms indicates that participants, as before, largely focused on visual and haptic experiences.
Abstract: Concreteness ratings are presented for 37,058 English words and 2,896 two-word expressions (such as zebra crossing and zoom in), obtained from over 4,000 participants by means of a norming study using Internet crowdsourcing for data collection. Although the instructions stressed that the assessment of word concreteness would be based on experiences involving all senses and motor responses, a comparison with the existing concreteness norms indicates that participants, as before, largely focused on visual and haptic experiences. The reported data set is a subset of a comprehensive list of English lemmas and contains all lemmas known by at least 85 % of the raters. It can be used in future research as a reference list of generally known English lemmas.

1,237 citations

Journal ArticleDOI
16 May 2018-PLOS ONE
TL;DR: The RAVDESS is a validated multimodal database of emotional speech and song consisting of 24 professional actors, vocalizing lexically-matched statements in a neutral North American accent, which shows high levels of emotional validity and test-retest intrarater reliability.
Abstract: The RAVDESS is a validated multimodal database of emotional speech and song. The database is gender balanced consisting of 24 professional actors, vocalizing lexically-matched statements in a neutral North American accent. Speech includes calm, happy, sad, angry, fearful, surprise, and disgust expressions, and song contains calm, happy, sad, angry, and fearful emotions. Each expression is produced at two levels of emotional intensity, with an additional neutral expression. All conditions are available in face-and-voice, face-only, and voice-only formats. The set of 7356 recordings were each rated 10 times on emotional validity, intensity, and genuineness. Ratings were provided by 247 individuals who were characteristic of untrained research participants from North America. A further set of 72 participants provided test-retest data. High levels of emotional validity and test-retest intrarater reliability were reported. Corrected accuracy and composite "goodness" measures are presented to assist researchers in the selection of stimuli. All recordings are made freely available under a Creative Commons license and can be downloaded at https://doi.org/10.5281/zenodo.1188976.

1,036 citations

Journal ArticleDOI
TL;DR: These guidelines are intended to assist investigators who use ERPs in clinical research in an effort to provide clear and concise recommendations and thereby to standardize methodology and facilitate comparability of data across laboratories.

1,011 citations


Cites background from "MRC Psycholinguistic Database"

  • ...The sensitivity of the N400 to multiple lexical variables (see above) also mandates that stimuli should be matched on variables not of experimental interest (for useful lexical statistics for matching stimuli, see Kiss et al., 1973; Coltheart, 1981; Baayen et al., 1995; Balota et al., 2002)....

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Journal ArticleDOI
TL;DR: This long-standing debate is addressed by examining how a large-scale computational model based on connectionist principles would solve the problem and comparing the model's performance to people's by using an architecture in which meanings are jointly determined by the 2 components.
Abstract: Are words read visually (by means of a direct mapping from orthography to semantics) or phonologically (by mapping from orthography to phonology to semantics)? The authors addressed this long-standing debate by examining how a large-scale computational model based on connectionist principles would solve the problem and comparing the model's performance to people's. In contrast to previous models, the present model uses an architecture in which meanings are jointly determined by the 2 components, with the division of labor between them affected by the nature of the mappings between codes. The model is consistent with a variety of behavioral phenomena, including the results of studies of homophones and pseudohomophones thought to support other theories, and illustrates how efficient processing can be achieved using multiple simultaneous constraints.

984 citations