TY - JOUR
T1 - Using brain imaging to gauge difficulties in processing ambiguous text by non-native speakers
AU - Khan, Imtiaz Hussain
N1 - Publisher Copyright:
© 2019 International Journal of Advanced Computer Science and Applications.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Arabic speakers
KW - Near-infrared spectroscopy
KW - Prepositional-phrase attachment ambiguity
KW - hierarchical clustering
UR - http://www.scopus.com/inward/record.url?scp=85075725640&partnerID=8YFLogxK
U2 - 10.14569/ijacsa.2019.0101014
DO - 10.14569/ijacsa.2019.0101014
M3 - Article
AN - SCOPUS:85075725640
SN - 2158-107X
VL - 10
SP - 99
EP - 104
JO - International Journal of Advanced Computer Science and Applications
JF - International Journal of Advanced Computer Science and Applications
IS - 10
ER -