Learning Language from a Large (Unannotated) Corpus

Linas Vepstas; Ben Goertzel

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arXiv · 1401.3372

Learning Language from a Large (Unannotated) Corpus

Linas Vepstas·Ben Goertzel

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Abstract

A novel approach to the fully automated, unsupervised extraction of dependency grammars and associated syntax-to-semantic-relationship mappings from large text corpora is described. The suggested approach builds on the authors' prior work with the Link Grammar, RelEx and OpenCog systems, as well as on a number of prior papers and approaches from the statistical language learning literature. If successful, this approach would enable the mining of all the information needed to power a natural language comprehension and generation system, directly from a large, unannotated corpus.

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Linas Vepstas, Ben Goertzel. 2014-01-14. Learning Language from a Large (Unannotated) Corpus. https://arxiv.org/abs/1401.3372

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