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Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
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The English spaced compound word database.

Casey M Riedmann1, Barbara J Juhasz2, Simon P Liversedge3

  • 1Department of Psychology, Wesleyan University, Middletown, CT, 06459, USA.

Behavior Research Methods
|July 9, 2026
PubMed
Summary
This summary is machine-generated.

Researchers created a new database for spaced compound words, finding that word familiarity is linked to how early words are learned and how clear their meaning is. Word frequency and simplicity also impact learning.

Keywords:
Age-of-acquisitionCompound wordsFamiliaritySemantic transparencySpaced compound words

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Area of Science:

  • Cognitive Psychology
  • Linguistics
  • Psycholinguistics

Background:

  • Spaced compound words, like 'coffee table', are crucial for understanding lexical retrieval and comprehension.
  • Research has primarily focused on unspaced compounds, leaving spaced compounds underexplored.
  • Processing spaced compounds as single units impacts memory storage and access.

Purpose of the Study:

  • To develop the English Spaced Compound Word Database for future research.
  • To collect familiarity, age-of-acquisition (AoA), and semantic transparency (ST) ratings for 1,162 spaced compound words.
  • To analyze the relationships between these ratings and word characteristics.

Main Methods:

  • Collected familiarity, AoA, and ST ratings for 1,162 spaced compound words.
  • Conducted correlational analyses comparing these ratings.
  • Examined relationships between ratings and constituent word properties (frequency, AoA, structural simplicity).

Main Results:

  • Found strong associations between familiarity and AoA, and between familiarity and ST.
  • Identified significant relationships between constituent word frequency, AoA, and structural simplicity across all rating tasks.
  • Established a foundation for testing lexical processing models.

Conclusions:

  • Spaced compound word processing is influenced by familiarity, AoA, and ST.
  • Constituent word properties significantly impact spaced compound word ratings.
  • The database provides valuable data for future psycholinguistic research on reading and lexical access.