http://www.people.ku.edu/~mvitevit/VLbrmic.pdf#:~:text=Two%20measures%20are%20used%20in%20the%20database%20to,the%20Klattese%20transcription%20arealso%20described%20in%20the%20Appendix. WebMay 28, 2024 · From this reduced list, 48 terminus words were randomly selected for each condition, with the constraints that each terminus word was a neighbor of a different word from the bridge word list and that the average English bigram/biphone probability did not differ between the second lists in each condition or between the bridge and terminus lists ...
Influence of phonotactic probability/neighbourhood density on …
WebA total of six different models were run, one for each interaction of a predictor (clustering coefficient, frequency of occurrence, number of neighbors, segment probability, biphone probability, and neighborhood frequency) with closeness centrality. WebAug 1, 2004 · This produced a token-based probability estimate that /st/ would occur in the third and fourth positions of a word in English. 1 Note that the biphone probability that is calculated in this program is based on the co-occurrence of segments within words and not on the transitional probabilities of sounds between words as they might occur in ... ifive inc
The influence of clustering coefficient on word-learning: how …
WebJul 2, 2024 · Method: Based on a revision of a large Swedish phonetic dictionary, data and algorithms were developed by which various frequency metrics, word length metrics, semantic metrics, neighborhood metrics, phonotactic metrics, and orthographic transparency metrics were calculated for each word in the dictionary.Of the various word metric … WebMay 1, 2024 · Among the 22 pairs with higher biphone probability sums for the correct choice, the correlation between the difference in biphone probability sums and accuracy rate was smaller and still not significant (r = −.04, p = .860). These nonsignificant correlations suggest that a pseudoword’s pronounceability was not associated with its … Webbigram and biphone probability. Using these values has allowed experimenters to measure differences between words in different languages as well as create pseudowords with specific lexical and sublexical characteristics. Thus … ifivgood