Anomaly Detection: Eye Movement Patterns |
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Authors: | Weijia Ni Janet Dean Fodor Stephen Crain Donald Shankweiler |
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Affiliation: | (1) Haskins Laboratories, New Haven, Connecticut, 06511;(2) City Unversity of New York Graduate Center, New York, New York, 10036;(3) University of Maryland, College Park, Maryland, 20742;(4) University of Connecticut, Storrs, Connecticut, 06269;(5) Yale University, New Haven, Connecticut, 06520 |
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Abstract: | The symptom of a garden path in sentence processing is an apparent anomaly in the input string. This anomaly signals to the parser that an error has occurred, and provides cues for how to repair it. Anomaly detection is thus an important aspect of sentence processing. In the present study, we investigated how the parser responds to unambiguous sentences that contain syntactic anomalies and pragmatic anomalies, examining records of eye movement during reading. While sensitivity to the two kinds of anomaly was very rapid and essentially simultaneous, qualitative differences existed in the patterns of first-pass reading times and eye regressions. The results are compatible with the proposal that syntactic information and pragmatic information are used differently in garden-path recovery. |
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