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Related Concept Videos

Components of Language01:24

Components of Language

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Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
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Language and Cognition01:27

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Language Development01:22

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Updated: Feb 22, 2026

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ConversationAlign: Open-source software for analyzing patterns of lexical use and alignment in conversation

Benjamin Sacks1, Virginia Ulichney1, Anna Duncan1

  • 1Department of Psychology and Neuroscience, Temple University, 1701 N. 13th Street, Philadelphia, PA, 19122, USA.

Behavior Research Methods
|February 20, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed ConversationAlign, an R package to measure linguistic alignment in conversations. This tool analyzes word choice to quantify how speakers synchronize language, aiding social relationship maintenance.

Keywords:
AlignmentCommunicationConversation analysisLanguage

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Area of Science:

  • Computational Linguistics
  • Psycholinguistics
  • Social Psychology

Background:

  • Traditional language processing research often uses controlled experiments, neglecting naturalistic communication dynamics.
  • Conversation involves complex synchronization of verbal and nonverbal cues for information transfer and social bonding.
  • Linguistic alignment, the calibration between interlocutors, is crucial for effective and socially meaningful communication.

Purpose of the Study:

  • To introduce ConversationAlign, an open-source R package for quantifying linguistic alignment.
  • To develop novel indices for measuring both local (turn-by-turn) and global (overall) linguistic alignment.
  • To provide a tool for analyzing word choice across semantic, affective, and lexical dimensions.

Main Methods:

  • Developed ConversationAlign R package for data cleaning and transformation into time series.
  • Implemented mathematical operations to compute complementary indices of linguistic alignment.
  • Applied the package to analyze interview transcripts from Terry Gross's radio show.

Main Results:

  • ConversationAlign enables computation of novel linguistic alignment indices.
  • The package can analyze word choice across various dimensions (e.g., valence, concreteness, word length).
  • Demonstrated application on a 15-year corpus of radio interview transcripts.

Conclusions:

  • ConversationAlign offers a robust method for studying linguistic alignment in naturalistic conversation.
  • The package addresses limitations of previous approaches by quantifying complex conversational dynamics.
  • Potential applications include diverse populations and further research into language and social interaction.