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A working, non-trivial, topically indifferent NLG System for 17 languages

INLG 2017 - 10th International Natural Language Generation Conference, Proceedings of the Conference (2017) 156-157
DOI: 10.18653/v1/w17-3524
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Abstract

We present a fully fledged practical working application for a rule-based NLG system that is able to create non-trivial, human sounding narrative from structured data, in any language (e.g., English, German, Arabic and Finnish) and for any topic.

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CITATION STYLE

APA

Weißgraeber, R., & Madsack, A. (2017). A working, non-trivial, topically indifferent NLG System for 17 languages. In INLG 2017 - 10th International Natural Language Generation Conference, Proceedings of the Conference (pp. 156–157). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w17-3524

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