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DOI: 10.14569/IJACSA.2019.0101014
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Using Brain Imaging to Gauge Difficulties in Processing Ambiguous Text by Non-native Speakers

Author 1: Imtiaz Hussain Khan

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 10, 2019.

  • Abstract and Keywords
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Abstract: Processing ambiguous text is an ever challenging problem for humans. In this study, we investigate how native-Arabic speakers face problems in processing their non-native English language text which involves ambiguity. As a case study, we focus on prepositional-phrase (PP) attachment ambiguity whereby a PP can be attached to the preceding noun (aka low attachment) or the preceding verb (aka high attachment). We setup an experiment in which human participants read text on a computer screen and their brain activity is monitored using near infrared spectroscopy. Participants read two types of text: one involving PP-attachment ambiguity and the other unambiguous text which is used as a control for comparison purposes. The brain activity data for ambiguous and control text are clustered using hierarchical-clustering technique available in Weka. The data reveal that Arabic speakers face more difficulty in processing ambiguous text as compared to unambiguous text.

Keywords: Prepositional-phrase attachment ambiguity; near-infrared spectroscopy; Arabic speakers; hierarchical clustering

Imtiaz Hussain Khan, “Using Brain Imaging to Gauge Difficulties in Processing Ambiguous Text by Non-native Speakers” International Journal of Advanced Computer Science and Applications(IJACSA), 10(10), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0101014

@article{Khan2019,
title = {Using Brain Imaging to Gauge Difficulties in Processing Ambiguous Text by Non-native Speakers},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0101014},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0101014},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {10},
author = {Imtiaz Hussain Khan}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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