Linguistic Inquiry Word Count
Linguistic Inquiry Word Count - Related Videos
05:38
Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
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Cited by 4 •
2021
We present a protocol to explore the relative activation sequence of phonology and semantics in visual word recognition. The results show that consistent with interactive accounts, semantic and phonological representations may be processed interactively, and higher-level linguistic representations may affect early processing.
06:48
Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
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Cited by 6 •
2019
This article describes how to implement a simple lexical decision experiment to assess written word recognition in neurologically healthy participants and in individuals with dementia and cognitive decline. We also provide a detailed description of reaction time analysis using principal components analysis (PCA) and mixed-effects modeling.
12:49
Transcranial Direct Current Stimulation (tDCS) of Wernicke's and Broca's Areas in Studies of Language Learning and Word Acquisition
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Cited by 32 •
2019
Here, we describe a protocol for using transcranial direct current stimulation for psycho- and neurolinguistic experiments aimed at studying, in a naturalistic yet fully controlled way, the role of cortical areas of the human brain in word learning, and a comprehensive set of behavioral procedures for assessing the outcomes.
08:53
Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
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Cited by 1 •
2019
The article describes a novel approach for analyzing dynamic online social interactions (in an online context) exemplified by a study of an online community of recovery from alcohol and drug addiction.
05:18
Mutual Exclusivity: How Children Learn the Meanings of Words
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2023
Source: Laboratories of Nicholaus Noles and Judith Danovitch—University of Louisville Humans are different from other animals in many ways, but perhaps the most important differentiating factor is their ability to use language. Other animals can communicate and even understand and use language in limited ways, but trying to teach human language to a chimp or a dog takes a great deal of time and effort. In contrast, young humans acquire their native language easily, and they learn linguistic...
FAQs
The method compares words and word stems in a text with predefined linguistic categories. A word or stem may contribute to categories representing emotion, cognition, social relationships, or biological concerns. By aggregating these matches across a sample, researchers obtain quantitative indicators of language patterns that can be examined alongside communication and behavioral measures.
Frequencies show how often category-related language appears, while proportions express that use relative to the amount of language analyzed. This distinction helps researchers characterize language patterns across written or spoken material that may differ in length. The resulting measures support standardized comparisons of emotional, cognitive, social, and biological language across research contexts.
Emotion, cognition, social relationships, and biological concerns provide distinct perspectives on language associated with behavior. Emotion-related categories can describe expressive patterns, cognition-related categories can characterize cognitive style, and social or biological categories can indicate the thematic focus of communication. Considering several categories together allows behavioral researchers to examine language from multiple psychological perspectives.
A typical workflow begins with collecting written or spoken language from a relevant context, such as an interview, online post, clinical narrative, or experiment. The text is then processed against the method’s predefined word and word-stem categories. Researchers calculate category frequencies or proportions and interpret the resulting pattern in relation to communication or behavior.
Researchers may choose this approach when they need a standardized way to examine language across interviews, online posts, clinical narratives, or experimental studies. It is useful for studying emotional expression, cognitive style, social behavior, and communication patterns. Because the same category-based procedure can be applied across materials, it supports reproducible comparisons between contexts or study groups.
The analysis provides quantitative measures of how strongly different language categories appear within a text sample. Researchers can use those measures to identify patterns in emotion, cognition, social relationships, or biological concerns, then test links between language and behavior. In this way, communication becomes a measurable source of evidence for behavioral research rather than only a qualitative description.