Paper: FAST - An Automatic Generation System For Grammar Tests

ACL ID P06-4001
Title FAST - An Automatic Generation System For Grammar Tests
Venue Annual Meeting of the Association of Computational Linguistics
Session System Demonstration
Year 2006
Authors

This paper introduces a method for the semi-automatic generation of grammar test items by applying Natural Language Processing (NLP) techniques. Based on manually-designed patterns, sentences gathered from the Web are transformed into tests on grammaticality. The method involves representing test writing knowledge as test patterns, acquiring authentic sentences on the Web, and applying generation strategies to transform sentences into items. At runtime, sentences are converted into two types of TOEFL-style question: multiple- choice and error detection. We also describe a prototype system FAST (Free Assessment of Structural Tests). Evaluation on a set of generated questions indicates that the proposed method performs satisfactory quality. Our methodology provides a promising approach and o...