title: Large-scale databases of proper names.
abstract: Few tools for research in proper names have been available--specifically, there is no large-scale corpus of proper names. Two corpora of proper names were constructed, one based on U.S. phone book listings, the other derived from a database of Usenet text. Name frequencies from both corpora were compared with human subjects' reaction times (RTs) to the proper names in a naming task. Regression analysis showed that the Usenet frequencies contributed to predictions of human RT, whereas phone book frequencies did not. In addition, semantic neighborhood density measures derived from the HAL corpus were compared with the subjects' RTs and found to be a better predictor of RT than was frequency in either corpus. These new corpora are freely available on line for download. Potentials for these corpora range from using the names as stimuli in experiments to using the corpus data in software applications.
authors.affiliation: Psychology Department, University of California, Riverside 92521-0426, USA. patrick@cassandra.ucr.edu
authors.forename: P
authors.initials: P
authors.lastname: Conley
authors.forename: C
authors.initials: C
authors.lastname: Burgess
authors.forename: D
authors.initials: D
authors.lastname: Hage
mesh_terms: D019992:Databases as Topic; D005544:Forecasting; D006801:Humans; D009275:Names; D011930:Reaction Time; D012044:Regression Analysis; D012660:Semantics