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The MRC Psycholinguistic Database

TLDR
A computerised database of psycholinguistic information is described, where semantic, syntactic, phonological and orthographic information about some or all of the 98,538 words in the database is accessible, by using a specially-written and very simple programming language.
Abstract
This paper describes a computerised database of psycholinguistic information. Semantic, syntactic, phonological and orthographic information about some or all of the 98,538 words in the database is accessible, by using a specially-written and very simple programming language. Word-association data are also included in the database. Some examples are given of the use of the database for selection of stimuli to be used in psycholinguistic experimentation or linguistic research.

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人唾液天疱疮抗原的纯化

TL;DR: 1. Place animal in induction chamber and anesthetize the mouse and ensure sedation, move it to a nose cone for hair removal using cream and reduce anesthesia to maintain proper heart rate.
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Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

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.
Journal ArticleDOI

Coh-Metrix: Analysis of text on cohesion and language

TL;DR: Standard text readability formulas scale texts on difficulty by relying on word length and sentence length, whereas Coh-Metrix is sensitive to cohesion relations, world knowledge, and language and discourse characteristics.
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Concreteness ratings for 40 thousand generally known English word lemmas

TL;DR: A comparison with the existing concreteness norms indicates that participants, as before, largely focused on visual and haptic experiences.
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MRC Psycholinguistic Database: Machine-usable dictionary, version 2.00

TL;DR: The MRC machine-usable dictionary contains 150,837 words and up 26 linguistic and psycholinguistic attributes from sources that are publicly available but are difficult to obtain and structure into a single dictionary.
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METHODS &DESIGNS Age-of-acquisition, imagery, concreteness, familiarity, and ambiguity measures for 1,944 words

TL;DR: In this article, age-of-acquisition, imagery, concreteness, familiarity, and ambiguity measures for 1,944 words of varying length and frequency of occurrence are presented.
Journal ArticleDOI

Age-of-acquisition, imagery, concreteness, familiarity, and ambiguity measures for 1,944 words

TL;DR: In this paper, age-of-acquisition, imagery, concreteness, familiarity, and ambiguity measures for 1,944 words of varying length and frequency of occurrence are presented.
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