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A natural-language paraphrase generator for on-line monitoring and commenting incremental sentence construction by L2 learners of German

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Kempen,  Gerard
Other Research, MPI for Psycholinguistics, Max Planck Society;

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Harbusch_2008_natural.pdf
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Citation

Harbusch, K., Kempen, G., & Vosse, T. (2008). A natural-language paraphrase generator for on-line monitoring and commenting incremental sentence construction by L2 learners of German. In Proceedings of WorldCALL 2008.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-1F83-E
Abstract
Certain categories of language learners need feedback on the grammatical structure of sentences they wish to produce. In contrast with the usual NLP approach to this problem—parsing student-generated texts—we propose a generation-based approach aiming at preventing errors (“scaffolding”). In our ICALL system, students construct sentences by composing syntactic trees out of lexically anchored “treelets” via a graphical drag&drop user interface. A natural-language generator computes all possible grammatically well-formed sentences entailed by the student-composed tree, and intervenes immediately when the latter tree does not belong to the set of well-formed alternatives. Feedback is based on comparisons between the student-composed tree and the well-formed set. Frequently occurring errors are handled in terms of “malrules.” The system (implemented in JAVA and C++) currently focuses constituent order in German as L2.