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A Comparison of Query-by-Example Methods for Spoken Term Detection
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In: DTIC (2009)
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| 2 |
Plan Critiquing and Look-Ahead Constraint Reasoning for Active Templates
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In: DTIC AND NTIS (2004)
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| 3 |
Familiarity and Pronounceability of Nouns and Names
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Suprenant, Aimeé M.; Hura, Susan L.; Harper, Mary P.; Jamieson, Leah H.; Long, Glenis; Thede, Scott M.; Rout, Ayasakanta; Hseuh, Tsung-Hsiang; Hockema, Stephen A.; Johnson, Michael T.; Srinivasan, Pramila N.; White, Christopher M.; Laflen, J. Brandon
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In: Electrical and Computer Engineering Faculty Research and Publications (1999)
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Abstract:
Ratings of familiarity and pronounceability were obtained from a random sample of 199 surnames (selected from over 80,000 entries in the Purdue University phone book) and 199 nouns (from the Kučera-Francis, 1967, word database). The distributions of ratings for nouns versus names are substantially different: Nouns were rated as more familiar and easier to pronounce than surnames. Frequency and familiarity were more closely related in the proper name pool than the word pool, although both correlations were modest. Ratings of familiarity and pronounceability were highly related for both groups. A production experiment showed that rated pronounceability was highly related to the time taken to produce a name. These data confirm the common belief that there are differences in the statistical and distributional properties of words as compared to proper names. The value of using frequency and the ratings of familiarity and pronounceability for predicting variations in actual pronunciations of words and names are discussed.
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Keyword:
Computer Engineering; Electrical and Computer Engineering; Engineering
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URL: https://epublications.marquette.edu/electric_fac/35
https://doi.org/10.3758/BF03200740
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