Measures of phonological typicality

2010 ◽  
Vol 5 (3) ◽  
pp. 281-299 ◽  
Author(s):  
Padraic Monaghan ◽  
Morten H. Christiansen ◽  
Thomas A. Farmer ◽  
Stanka A. Fitneva
Keyword(s):  
Lexical Decision ◽  
Response Time ◽  
Word Processing ◽  
Response Times ◽  
Parameter Variation ◽  
Response Time Data ◽  
Speech Sounds ◽  
Time Data ◽  
Monosyllabic Word ◽  
Lexical Categories

Phonological Typicality (PT) is a measure of the extent to which a word’s phonology is typical of other words in the lexical category to which it belongs. There is a general coherence among words from the same category in terms of speech sounds, and we have found that words that are phonologically typical of their category tend to be processed more quickly and accurately than words that are less typical. In this paper we describe in greater detail the operationalisation of measures of a word’s PT, and report validations of different parameterisations of the measure. For each variant of PT, we report the extent to which it reflects the coherence of the lexical categories of words in terms of their sound, as well as the extent to which the measure predicts naming and lexical decision response times from a database of monosyllabic word processing. We show that PT is robust to parameter variation, but that measures based on PT of uninflected words (lemmas) best predict response time data for naming and lexical decision of single words.

scholarly journals Analysis of speed-accuracy trade-offs using the Wiener diffusion model for choice reaction times

2021 ◽  
Author(s):  
Annalise Aleta LaPlume
Keyword(s):  
Response Time ◽  
Diffusion Model ◽  
Response Times ◽  
Reaction Times ◽  
Response Time Data ◽  
Choice Response ◽  
Time Data ◽  
Trade Offs ◽  
R Programming ◽  
Speed Accuracy

A methodology review paper on the utility and challenges of modelling speed-accuracy trade-offs in response time data. The paper reviews the importance of accounting for speed-accuracy trade-offs when measuring response times, and provides background on diffusion models for response time data. It then describes a practical software implementation of the EZ-diffusion model to model speed-accuracy trade-offs in choice response time data using the R programming language.

Passenger Response Time Data-Sets for Large Passenger Ferries and Cruise Ships Derived from Sea Trials

2013 ◽  
Vol 155 (A1) ◽  
Keyword(s):  
Response Time ◽  
Response Times ◽  
Response Time Data ◽  
Data Sets ◽  
Time Data ◽  
Data Set ◽  
Analysis Methodology ◽  
Cruise Ships ◽  
Passenger Ships ◽  
Response Time Distributions

This paper describes research that was carried-out under the EU FP7 research project SAFEGUARD and presents passenger response time data generated from five full-scale semi-unannounced assembly trials at sea. The data-sets were generated from three different types of passenger ships, a RO-PAX ferry without cabins (RP1), a cruise ship (CS) and a RO-PAX ferry with cabins (RP2). In total, response times from 2366 people were collected making it the largest response time data-set ever collected – on land or sea. The analysis methodology used to extract the response time data and the resultant response time distributions (RTD) is presented. A number of key findings from the data analysis are presented along with three recommendations to modify the IMO guidelines governing ship evacuation analysis, namely; (a) it is inappropriate to use the same RTD for cruise ships and RO-PAX vessels; (b) a new Day Case RTD is suggested for RO-PAX vessels and (c) new Day and Night RTDs are suggested for cruise ships.

PASSENGER RESPONSE TIME DATA-SETS FOR LARGE PASSENGER FERRIES AND CRUISE SHIPS DERIVED FROM SEA TRIALS

2021 ◽  
Vol 155 (A1) ◽  
Author(s):  
R Brown ◽  
E R Galea ◽  
S Deere ◽  
L Filippidis
Keyword(s):  
Response Time ◽  
Response Times ◽  
Response Time Data ◽  
Data Sets ◽  
Time Data ◽  
Data Set ◽  
Analysis Methodology ◽  
Cruise Ships ◽  
Passenger Ships ◽  
Response Time Distributions

This paper describes research that was carried-out under the EU FP7 research project SAFEGUARD and presents passenger response time data generated from five full-scale semi-unannounced assembly trials at sea. The data-sets were generated from three different types of passenger ships, a RO-PAX ferry without cabins (RP1), a cruise ship (CS) and a RO-PAX ferry with cabins (RP2). In total, response times from 2366 people were collected making it the largest response time data-set ever collected – on land or sea. The analysis methodology used to extract the response time data and the resultant response time distributions (RTD) is presented. A number of key findings from the data analysis are presented along with three recommendations to modify the IMO guidelines governing ship evacuation analysis, namely; (a) it is inappropriate to use the same RTD for cruise ships and RO-PAX vessels; (b) a new Day Case RTD is suggested for RO-PAX vessels and (c) new Day and Night RTDs are suggested for cruise ships.

Using response time data to reduce testing time in cognitive tests.

2018 ◽  
Vol 30 (3) ◽  
pp. 328-338 ◽  
Author(s):  
Maria Bertling ◽  
Jonathan P. Weeks
Keyword(s):  
Response Time ◽  
Response Time Data ◽  
Testing Time ◽  
Cognitive Tests ◽  
Time Data

scholarly journals Lateralızatıon of Non-Word Processıng in Monolınguals

2020 ◽  
Vol 15 ◽  
pp. 185-190
Author(s):  
Filiz Mergen ◽  
Gulmira Kuruoglu
Keyword(s):  
Lexical Decision ◽  
Lexical Decision Task ◽  
Left Hemisphere ◽  
Word Processing ◽  
Lexical Processing ◽  
Response Times ◽  
Hemispheric Dominance ◽  
Decision Task ◽  
Visual Hemifield ◽  
Overwhelming Evidence

A great bulk of research in the psycholinguistic literature has been dedicated to hemispheric organization of words. An overwhelming evidence suggests that the left hemisphere is primarily responsible for lexical processing. However, non-words, which look similar to real words but lack meaningful associations, is underrepresented in the laterality literature. This study investigated the lateralization of Turkish non-words. Fifty-three Turkish monolinguals performed a lexical decision task in a visual hemifield paradigm. An analysis of their response times revealed left-hemispheric dominance for non-words, adding further support to the literature. The accuracy of their answers, however, were comparable regardless of the field of presentation. The results were discussed in light of the psycholinguistic word processing views.

scholarly journals Dose-Response-Time Data Analysis: An Underexploited Trinity

2018 ◽  
Vol 71 (1) ◽  
pp. 89-122 ◽  
Author(s):  
Johan Gabrielsson ◽  
Robert Andersson ◽  
Mats Jirstrand ◽  
Stephan Hjorth
Keyword(s):  
Data Analysis ◽  
Response Time ◽  
Dose Response ◽  
Response Time Data ◽  
Time Data
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