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Related Concept Videos

Components of Language01:24

Components of Language

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. “eh”). Phonemes combine to...
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint Vincent in...
Purposive Learning01:22

Purposive Learning

E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a bonus...
Language Development01:22

Language Development

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.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
Conjugate Addition (1,4-Addition) vs Direct Addition (1,2-Addition)01:27

Conjugate Addition (1,4-Addition) vs Direct Addition (1,2-Addition)

α,β-Unsaturated carbonyl compounds with two electrophilic sites, the carbonyl carbon, and the β carbon, are susceptible to nucleophilic attack via two modes: conjugate or 1,4-addition and direct or 1,2-addition.
Conjugate addition results in a thermodynamically stable product. The reaction retains the stronger C=O bond at the expense of the weaker C=C π bond. The process is slow as the β carbon is less electrophilic than the carbonyl carbon.
Direct addition products are formed faster owing to...
Elaborative Rehearsals01:07

Elaborative Rehearsals

Elaborative rehearsal is a crucial cognitive strategy that strengthens information encoding in long-term memory by making meaningful connections between new data and pre-existing knowledge. This approach contrasts with maintenance rehearsal, which involves simple repetition without delving into the significance of the information. While maintenance rehearsal might temporarily keep information active in short-term memory, it is less effective for long-term retention.
The effectiveness of...

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Related Experiment Video

Updated: May 25, 2026

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
05:33

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

Published on: January 29, 2020

Semantics boosts syntax in artificial grammar learning tasks with recursion.

Anna Fedor1, Máté Varga, Eörs Szathmáry

  • 1Department of Plant Systematics, Ecology and Theoretical Biology, Eötvös Loránd University of Sciences, Budapest, Hungary. fedoranna@gmail.com

Journal of Experimental Psychology. Learning, Memory, and Cognition
|January 25, 2012
PubMed
Summary
This summary is machine-generated.

Learning center-embedded recursion (CER) is challenging. Combining semantic factors like familiarity and word relationships significantly speeds up learning, suggesting artificial grammar learning tasks may not fully capture natural language processing.

Related Experiment Videos

Last Updated: May 25, 2026

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
05:33

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

Published on: January 29, 2020

Area of Science:

  • Cognitive Science
  • Linguistics
  • Psychology

Background:

  • Center-embedded recursion (CER) is a complex linguistic structure.
  • Parsing CER is considered a unique human cognitive ability.
  • Artificial grammar learning (AGL) tasks are used to study CER parsing.

Purpose of the Study:

  • To investigate the role of semantic content in learning center-embedded recursion (CER).
  • To determine if semantic factors influence the parsing of CER in artificial languages.
  • To compare CER processing in artificial versus natural languages.

Main Methods:

  • Participants learned artificial grammar rules for CER sentences.
  • Sentences were constructed using vocabularies with varying degrees of semantic content.
  • Semantic content was manipulated through word familiarity, meaning, and relationships.

Main Results:

  • Individual semantic factors (familiarity, meaning, relationships) did not significantly impact CER learning.
  • Combined semantic factors significantly accelerated the learning of CER.
  • Learning CER with semantic content suggests different cognitive mechanisms than AGL tasks.

Conclusions:

  • The effectiveness of semantic content in learning CER highlights limitations of artificial grammar learning tasks.
  • Findings suggest that semantic richness is crucial for processing complex syntactic structures like CER.
  • This research questions the ecological validity of AGL tasks for understanding natural language CER parsing.