Kumiko Tanaka-Ishii
Statistical Universals of Language: Mathematical Chance vs. Human Choice
Statistical Universals of Language: Mathematical Chance vs. Human Choice
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This book explores the universal mathematical properties underlying big language data and reconsiders the nature of language accordingly,with Zipf's law as a well-known example. It also explains the property of long memory,which was discovered and studied more recently by borrowing concepts from complex systems theory. The book is of interest to anyone engaged in fields related to language and computing or statistical analysis methods,with an emphasis on researchers and students in computational linguistics and natural language processing.
Format: Paperback / softback
Length: 236 pages
Publication date: 02 April 2022
Publisher: Springer Nature Switzerland AG
This comprehensive volume delves into the fundamental mathematical characteristics inherent in large language data, shedding light on the potential reasons behind their existence. It unveils how our language usage may exhibit unconscious mathematical tendencies, distinguishing these properties from linguistic universals that describe the diversity of human languages. These statistical universals can only be discerned through extensive accumulation of usage data. The book offers a comprehensive overview of the state-of-the-art findings on these statistical universals, challenging our understanding of language. It highlights Zipf's law as a renowned example, emphasizing its significance in understanding language patterns. Furthermore, the book delves into the property of long memory, which has been recently discovered and studied by drawing concepts from complex systems theory. The statistical universals not only hold the potential to be the precursor of language system formation but also shed light on the limitations of current machine learning techniques. In essence, this book provides a comprehensive exploration of language's global properties, appealing to a wide range of individuals engaged in fields related to language and computing, as well as statistical analysis methods. While the book employs mathematical concepts, considerable effort has been made to ensure accessibility to a non-mathematical audience by presenting mathematical content in an intuitive and concise manner, utilizing real-text examples.
Weight: 379g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030593797
Edition number: 1st ed. 2021
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