2011
DOI: 10.3758/s13428-011-0068-x
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Type and token bigram frequencies for two-through nine-letter words and the prediction of anagram difficulty

Abstract: Recent research on anagram solution has produced two original findings. First, it has shown that a new bigram frequency measure called top rank, which is based on a comparison of summed bigram frequencies, is an important predictor of anagram difficulty. Second, it has suggested that the measures from a type count are better than token measures at predicting anagram difficulty. Testing these hypotheses has been difficult because the computation of the bigram statistics is difficult. We present a program that c… Show more

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Cited by 8 publications
(5 citation statements)
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“…Words with more morphemes were also named and identified more accurately than words with fewer morphemes. This research also supported previous findings that the relative frequency of bigrams in different word positions could not explain the effect of morphemes, which supported their previous findings with the syllable effect (Knight & Muncer, ; Muncer & Knight, ).…”
Section: Introductionsupporting
confidence: 91%
“…Words with more morphemes were also named and identified more accurately than words with fewer morphemes. This research also supported previous findings that the relative frequency of bigrams in different word positions could not explain the effect of morphemes, which supported their previous findings with the syllable effect (Knight & Muncer, ; Muncer & Knight, ).…”
Section: Introductionsupporting
confidence: 91%
“… 1. The minimal bigram frequency was shown to be a more adequate variable compared to the mean bigram frequency (Westbury & Buchanan, 2002). Token bigram frequencies were chosen as they have been shown to be adequate predictors of word identification times (Knight & Muncer, 2011; see also Conrad, Carreiras, & Jacobs, 2008, examining syllabic frequency effects). …”
mentioning
confidence: 99%
“…Recently, Knight and Muncer (2011) have produced a program that calculates both type and token bigram frequencies and a number of other frequency-related statistics from Solso and Juel's (1980) tables. In reexamining some anagram related research (Novick & Sherman, 2004, they found that, although two-syllable words were more likely to have bigram troughs, half of the small sample of one-syllable words that they examined also had a trough (57/114).…”
mentioning
confidence: 99%