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arXiv:2304.14590cs.CL

A logical word embedding for learning grammar

Sean Deyo, Veit Elser

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Abstract

We introduce the logical grammar emdebbing (LGE), a model inspired by pregroup grammars and categorial grammars to enable unsupervised inference of lexical categories and syntactic rules from a corpus of text. LGE produces comprehensible output summarizing its inferences, has a completely transparent process for producing novel sentences, and can learn from as few as a hundred sentences.

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cs.CLComputation and Language

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