
Contents
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1.1 Phonological Contrast, the Phoneme, and Distinctive Features 1.1 Phonological Contrast, the Phoneme, and Distinctive Features
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1.2 Early Generative Phonology 1.2 Early Generative Phonology
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1.3 Autosegmental Phonology 1.3 Autosegmental Phonology
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1.4 Syllable Structure 1.4 Syllable Structure
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1.5 Optimality Theory 1.5 Optimality Theory
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1.6 Computational Phonology 1.6 Computational Phonology
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1.6.1 Finite-State Machines 1.6.1 Finite-State Machines
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1.6.2 Attribute-Value Matrices 1.6.2 Attribute-Value Matrices
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1.6.3 Learning Aspects of Phonological Grammars 1.6.3 Learning Aspects of Phonological Grammars
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1.6.4 Computational Tools for Phonological Research 1.6.4 Computational Tools for Phonological Research
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Further Reading and Relevant Resources Further Reading and Relevant Resources
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Acknowledgements Acknowledgements
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References References
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1 Phonology
Get accessSteven Bird has spent 25 years pursuing scalable computational methods for capturing, enriching, and analysing data from endangered languages, drawing on fieldwork in West Africa, South America, and Melanesia. Over the past five years he has begun to work with remote Aboriginal communities in northern Australia, with the intention of sustaining language use by making intercultural spaces more amenable to linguistic diversity. He is currently investigating assistive technologies for building ‘white’ capacity for participating in local lifeworlds and for supporting intergenerational transmission of Indigenous ecological knowledge. Steven holds the positions of professor at Charles Darwin University, linguist at Nawarddeken Academy in Arnhem Land, and producer at languageparty.org.
Jeffrey Heinz is a Professor in the Department of Linguistics and the Institute of Advanced Computational Science, Stony Brook University. His research lies at the intersection of theoretical linguistics, theoretical computer science, and computational learning theory. He has published papers in these areas in journals Science, Phonology, Linguistic Inquiry, Theoretical Computer Science, and Topics in Cognitive Science. He serves on the steering committee for the International Conference of Grammatical Inference.
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Published:07 March 2018
Cite
Abstract
Phonology is the systematic study of the sounds used in language, their internal structure, and their composition into syllables, words, and phrases. Computational phonology is the application of formal and computational techniques to the representation and processing of phonological information. This chapter presents the fundamentals of phonology along with an overview of computational phonology. Fundamentals discussed include phonological features, phonemes, early generative grammar, autosegmental phonology, syllable structure, and optimality theory. Finite-state machines, attribute-value matrices, computational learning methods, and existing software toolkits round out the discussion on comptuational phonology.
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