- Mathematical Foundations: Formal Grammars and Languages
- Finite-State Technology
- Statistical Methods: Fundamentals
- Statistical Models for Natural Language Processing
- Machine Learning
- Word Representation
- Deep Learning
- Sublanguages and Controlled Languages
- Corpus Annotation
- Text Segmentation
- Part-of-Speech Tagging
- Semantic Role Labelling
- Word Sense Disambiguation
- Computational Treatment of Multiword Expressions
- Textual Entailment
- Natural Language Generation
- Speech Recognition
- Temporal Processing
- Text-to-Speech Synthesis
- Machine Translation
- Translation Technology
- Information Retrieval
- Information Extraction
- Question Answering
- Text Summarization
- Term Extraction
- Web Text Mining
- Opinion Mining and Sentiment Analysis
- Spoken Language Dialogue Systems
- Multimodal Systems
- Natural Language Processing for Educational Applications
- Automated Writing Assistance
- Text Simplification
- Author Profiling and Related Applications
Abstract and Keywords
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.
Steven Bird is a linguist and computer scientist. He divides his time between Darwin, Australia’s most culturally diverse city, and a remote Aboriginal community where he is learning to speak Kunwinjku. His language work has taken him to West Africa, South America, Central Asia, and Melanesia. He has a PhD in computational linguistics and is professor in the College of Indigenous Futures, Arts, and Society at Charles Darwin University. He serves as Linguist at Nawarddeken Academy in West Arnhem, and Senior Research Scientist at the International Computer Science Institute, University of California Berkeley.
Jeffrey Heinz is a Professor in the Department of Linguistics & 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 the 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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