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We present two novel examples of simple algorithms which characterize the grammars of low-resource languages: a tool for the characterization of vowel harmony, and a framework for unsupervised morphological segmentation which achieves state-of-the-art performance. Accurate characterization of grammars jump starts the process of description by a trained linguist. Furthermore, morphological segmentation provides gains in machine translation as well, a perennial challenge for low-resource undocumented and endangered languages.

Case Studies in the Automatic Characterization of Grammars from Small Wordlists