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SUMMARY We explore here the hypothesis that phonological grammars are emergent, formed by general principles that may involve little to no role for language-specific principl es. Our basic proposal is that grammars develop from the identification of patterns of similarity, the calcu lation of frequencies of patterns of co-occurrence, and the development of generalized symbolic systems based on frequency data. We investigate six Bantu languages, all of which exhibit a canonical asymmetric height harmony pattern. Based on sizeable online databases, we examine the frequency of all possible vowel sequences in the six languages, using the frequency data to develop a nascent grammar for height harmony in each language. Our proposal is for a type of unsupervised learning, and we discuss various ways of establishing that the learning algorithm has converged on the correct grammar.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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