A computer-aided environment for generating multiple-choice test items
Natural Language Engineering
FAST: an automatic generation system for grammar tests
COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
Applications of lexical information for algorithmically composing multiple-choice cloze items
EdAppsNLP 05 Proceedings of the second workshop on Building Educational Applications Using NLP
EdAppsNLP 05 Proceedings of the second workshop on Building Educational Applications Using NLP
Generating multiple-choice test items from medical text: a pilot study
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
ArikIturri: an automatic question generator based on corpora and NLP techniques
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Generation for grammar engineering
INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
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Grammar exercises for language learning fall into two distinct classes: those that are based on "real life sentences" extracted from existing documents or from the web; and those that seek to facilitate language acquisition by presenting the learner with exercises whose syntax is as simple as possible and whose vocabulary is restricted to that contained in the textbook being used. In this paper, we introduce a framework (called GramEx) which permits generating the second type of grammar exercises. Using generation techniques, we show that a grammar can be used to semi-automatically generate grammar exercises which target a specific learning goal; are made of short, simple sentences; and whose vocabulary is restricted to that used in a given textbook.