Multilingual feature selection for a human sentence processing model
نویسندگان
چکیده
This study develops a connection between human parsing preferences and feature selection rankings in a multilingual dependency parser. The results reveal that feature weights reflect the typological characteristics of three languages. Accounting for these differences leads to greater precision in modeling garden path data.
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تاریخ انتشار 2008