An application of answer set programming to the field of second language acquisition

作     者：Inclezan, Daniela 

作者机构：Department of Computer Science and Software Engineering Miami University OxfordOH45056 United States 

出 版 物：《Theory and Practice of Logic Programming》 (Theory Pract. Logic Programm.)

年 卷 期：2015年第15卷第1期

页      面：1-17页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Mergers and acquisitions 

摘      要：This paper explores the contributions of Answer Set Programming (ASP) to the study of an established theory from the field of Second Language Acquisition: Input Processing. The theory describes default strategies that learners of a second language use in extracting meaning out of a text based on their knowledge of the second language and their background knowledge about the world. We formalized this theory in ASP, and as a result we were able to determine opportunities for refining its natural language description, as well as directions for future theory development. We applied our model to automating the prediction of how learners of English would interpret sentences containing the passive voice. We present a system, PIas, that uses these predictions to assist language instructors in designing teaching materials. Copyright © 2014 Cambridge University Press.