  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.
