Paper: Detecting Erroneous Sentences using Automatically Mined Sequential Patterns

ACL ID P07-1011
Title Detecting Erroneous Sentences using Automatically Mined Sequential Patterns
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

This paper studies the problem of identify- ing erroneous/correct sentences. The prob- lem has important applications, e.g., pro- viding feedback for writers of English as a Second Language, controlling the quality of parallel bilingual sentences mined from the Web, and evaluating machine translation results. In this paper, we propose a new approach to detecting erroneous sentences by integrating pattern discovery with super- vised learning models. Experimental results show that our techniques are promising.