Paper: Detecting Article Errors Based on the Mass Count Distinction

ACL ID I05-1071
Title Detecting Article Errors Based on the Mass Count Distinction
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2005
Authors

This paper proposes a method for detecting errors concern- ing article usage and singular/plural usage based on the mass count distinction. Although the mass count distinction is particularly impor- tant in detecting these errors, it has been pointed out that it is hard to make heuristic rules for distinguishing mass and count nouns. To solve the problem, first, instances of mass and count nouns are auto- matically collected from a corpus exploiting surface information in the proposed method. Then, words surrounding the mass (count) instances are weighted based on their frequencies. Finally, the weighted words are used for distinguishing mass and count nouns. After distinguishing mass and count nouns, the above errors can be detected by some heuristic rules. Experiments show that the prop...