Computational Analysis of Move Structures in Academic Abstracts 
 
 This paper introduces a method for computational analysis of move structures in abstracts of research articles . In our approach, sentences in a given abstract are analyzed and labeled with a specific move in light of various rhetorical functions . The method involves automatically gathering a large number of abstracts from the Web and building a language model of abstract moves . We also present a prototype concordancer , CARE , which exploits the move-tagged abstracts for digital learning . This system provides a promising approach to Web-based computer-assisted academic writing . 