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Distribution of visuo-attentional resources while reading multiple words. [PDF]

open access: yesPLoS One
Bandiera V   +4 more
europepmc   +1 more source

The Tool for Automatic Analysis of Decoding Ambiguity (TAADA). [PDF]

open access: yesBehav Res Methods
Crossley S, Choi JS, Tang K, Cutting L.
europepmc   +1 more source

Zipfian word frequencies support statistical word segmentation

open access: yes, 2011
Kurumada, Chigusa   +2 more
openaire   +1 more source
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Word frequency counts

Lingvisticae Investigationes, 2018
Abstract Lexical frequency is one of the major variables involved in language processing. It constitutes a cornerstone of psycholinguistic, corpus linguistic as well as applied research. Linguists take frequency counts from corpora and they started to take them for granted.
Bartosz Brzoza
openaire   +2 more sources

Word Frequency Table

A Concordance to Conrad’s A Set of Six, 2020
James W. Parins, Todd K. Bender
semanticscholar   +6 more sources

Word Frequency

The SAGE Encyclopedia of Human Communication Sciences and Disorders, 2019
openaire   +2 more sources

Distribution of Word Frequencies

Nature, 1957
THE purpose of this communication is to explain, in terms of the theory of information, the implications of the Zipf distribution of word frequencies1. The distribution is formally identical with the Pareto income and Willis taxonomic distributions, but the present discussion is restricted to word frequencies.
A. F. PARKER-RHODES, T. JOYCE
  +4 more sources

Word Frequency Affects Hypermnesia

Psychological Reports, 1996
Hypermnesia, the tendency of participants to recall more items from a list they have studied when they are asked to recall the list several times on a free-recall test, is enhanced by factors that lead to better performance on free-recall tests. This study tested the hypothesis that words which appear with high frequency in the English language would ...
K M, Macie, J D, Larsen
openaire   +2 more sources

Estimating Word-Association Frequencies

Psychological Reports, 1968
14 Ss were given the 6 strongest associates to stimulus words chosen from the Kent-Rosanoff list and asked to estimate the frequency with which each associate occurred. The results indicate a striking tendency for Ss to match the obtained norms throughout the portions of the hierarchy tested.
openaire   +2 more sources

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