Conditional co-occurrence probability acts like frequency in predicting fixation durations

The predictability of an upcoming word has been found to be a useful predictor in eye movement research, but is expensive to collect and subjective in nature. It would be desirable to have other predictors that are easier to collect and objective in nature if these predictors were capable of capturi...

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Main Authors: James K. Y. Ong, Reinhold Kliegl
Format: Article
Language:English
Published: Bern Open Publishing 2008-09-01
Series:Journal of Eye Movement Research
Subjects:
Online Access:https://bop.unibe.ch/JEMR/article/view/2257
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spelling doaj-b3fc7fe199444ee582dae0492809008f2021-05-28T13:34:54ZengBern Open PublishingJournal of Eye Movement Research1995-86922008-09-012110.16910/jemr.2.1.3Conditional co-occurrence probability acts like frequency in predicting fixation durationsJames K. Y. Ong0Reinhold Kliegl1Upper Austria University of Applied SciencesUniversity of PotsdamThe predictability of an upcoming word has been found to be a useful predictor in eye movement research, but is expensive to collect and subjective in nature. It would be desirable to have other predictors that are easier to collect and objective in nature if these predictors were capable of capturing the information stored in predictability. This paper contributes to this discussion by testing a possible predictor: conditional co-occurrence probability. This measure is a simple statistical representation of the relatedness of the current word to its context, based only on word co-occurrence patterns in data taken from the Internet. In the regression analyses, conditional co-occurrence probability acts like lexical frequency in predicting fixation durations, and its addition does not greatly improve the model fits. We conclude that readers do not seem to use the information contained within conditional co-occurrence probability during reading for meaning, and that similar simple measures of semantic relatedness are unlikely to be able to replace predictability as a predictor for fixation durations. Keywords: Co-occurrence probability, Cloze predictability, frequency, eye movement, fixation duration.https://bop.unibe.ch/JEMR/article/view/2257co-occurrence probabilityCloze predictabilityeye movementfrequencyfixation duration
collection DOAJ
language English
format Article
sources DOAJ
author James K. Y. Ong
Reinhold Kliegl
spellingShingle James K. Y. Ong
Reinhold Kliegl
Conditional co-occurrence probability acts like frequency in predicting fixation durations
Journal of Eye Movement Research
co-occurrence probability
Cloze predictability
eye movement
frequency
fixation duration
author_facet James K. Y. Ong
Reinhold Kliegl
author_sort James K. Y. Ong
title Conditional co-occurrence probability acts like frequency in predicting fixation durations
title_short Conditional co-occurrence probability acts like frequency in predicting fixation durations
title_full Conditional co-occurrence probability acts like frequency in predicting fixation durations
title_fullStr Conditional co-occurrence probability acts like frequency in predicting fixation durations
title_full_unstemmed Conditional co-occurrence probability acts like frequency in predicting fixation durations
title_sort conditional co-occurrence probability acts like frequency in predicting fixation durations
publisher Bern Open Publishing
series Journal of Eye Movement Research
issn 1995-8692
publishDate 2008-09-01
description The predictability of an upcoming word has been found to be a useful predictor in eye movement research, but is expensive to collect and subjective in nature. It would be desirable to have other predictors that are easier to collect and objective in nature if these predictors were capable of capturing the information stored in predictability. This paper contributes to this discussion by testing a possible predictor: conditional co-occurrence probability. This measure is a simple statistical representation of the relatedness of the current word to its context, based only on word co-occurrence patterns in data taken from the Internet. In the regression analyses, conditional co-occurrence probability acts like lexical frequency in predicting fixation durations, and its addition does not greatly improve the model fits. We conclude that readers do not seem to use the information contained within conditional co-occurrence probability during reading for meaning, and that similar simple measures of semantic relatedness are unlikely to be able to replace predictability as a predictor for fixation durations. Keywords: Co-occurrence probability, Cloze predictability, frequency, eye movement, fixation duration.
topic co-occurrence probability
Cloze predictability
eye movement
frequency
fixation duration
url https://bop.unibe.ch/JEMR/article/view/2257
work_keys_str_mv AT jameskyong conditionalcooccurrenceprobabilityactslikefrequencyinpredictingfixationdurations
AT reinholdkliegl conditionalcooccurrenceprobabilityactslikefrequencyinpredictingfixationdurations
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