| Title |
Bigram Frequency, Number of Syllables and Morphemes and Their Effects on Lexical Decision and Word Naming
|
|---|---|
| Published in |
Journal of Psycholinguistic Research, April 2013
|
| DOI | 10.1007/s10936-013-9252-8 |
| Pubmed ID | |
| Authors |
Steven J. Muncer, David Knight, John W. Adams |
| Abstract |
There has been an increasing volume of evidence supporting the role of the syllable in word processing tasks. Recently it has also been shown that orthographic redundancy, related to the pattern of bigram frequencies, could not explain the syllable number effect on lexical decision times. This was demonstrated on a large sample of words taken from the British Lexicon Project. In this study we extend this research by examining both lexical decision and word naming times taken from the English Lexicon Project. There was a syllable number effect for both tasks in the expected direction, and this effect was independent of the presence of a bigram trough. The research also examined the role of other bigram related variables and the number of morphemes on lexical decision and word naming times. The number of morphemes had a significant effect on both word processing tasks, with words with more morphemes producing faster reaction times and also fewer errors. This pattern was reversed for nonword lexical decision times. The results are discussed in the light of recent developments in models of reading. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 3% |
| United States | 1 | 3% |
| Russia | 1 | 3% |
| Unknown | 36 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 21% |
| Researcher | 5 | 13% |
| Student > Master | 4 | 10% |
| Professor | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Other | 10 | 26% |
| Unknown | 5 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 13 | 33% |
| Linguistics | 11 | 28% |
| Arts and Humanities | 2 | 5% |
| Computer Science | 2 | 5% |
| Unspecified | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 7 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 April 2013.
All research outputs
#15,270,698
of 22,708,120 outputs
Outputs from Journal of Psycholinguistic Research
#172
of 351 outputs
Outputs of similar age
#120,473
of 194,082 outputs
Outputs of similar age from Journal of Psycholinguistic Research
#6
of 8 outputs
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