acl acl2010 acl2010-36 acl2010-36-reference knowledge-graph by maker-knowledge-mining

36 acl-2010-Automatic Collocation Suggestion in Academic Writing


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Author: Jian-Cheng Wu ; Yu-Chia Chang ; Teruko Mitamura ; Jason S. Chang

Abstract: In recent years, collocation has been widely acknowledged as an essential characteristic to distinguish native speakers from non-native speakers. Research on academic writing has also shown that collocations are not only common but serve a particularly important discourse function within the academic community. In our study, we propose a machine learning approach to implementing an online collocation writing assistant. We use a data-driven classifier to provide collocation suggestions to improve word choices, based on the result of classifica- tion. The system generates and ranks suggestions to assist learners’ collocation usages in their academic writing with satisfactory results. 1


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