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Trask’s Historical Linguistics (2015)

  Trask’s Historical Linguistics, Third Edition, is an accessible introduction to historical linguistics – the study of language change over time. This engaging book is illustrated with language examples from all six continents, and covers the fundamental concepts of language change, methods for historical linguistics, linguistic reconstruction, sociolinguistic...
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The Cambridge Handbook of Germanic Linguistics (2020)

The Germanic language family ranges from national languages with standardized varieties, including German, Dutch and Danish, to minority languages with relatively few speakers, such as Frisian, Yiddish and Pennsylvania German. Written by internationally renowned experts of Germanic linguistics, this Handbook provides a detailed overview and analysis of the...
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Natural Language Processing for Corpus Linguistics (2022)

Natural Language Processing for Corpus Linguistics (2022)
Corpus analysis can be expanded and scaled up by incorporating computational methods from natural language processing. This Element shows how text classification and text similarity models can extend our ability to undertake corpus linguistics across very large corpora. These computational methods are becoming increasingly important as corpora grow...
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Handbook of Nanobioelectrochemistry (2023)

This handbook comprehensively reviews different nanomaterials and modern electrochemical approaches used in the point-of-care analysis of biomolecules. It describes the importance, significance, and application of various kinds of smart nanomaterials and their integration with modern electrochemical techniques for the point-of-care diagnosis of biologically important biomolecules. The interaction between...
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Handbook of Mathematical Models with Python (2023)

Master the art of mathematical modeling through practical examples, use cases, and machine learning techniques. Key Features Gain a profound understanding of various mathematical models that can be integrated with machine learning. Learn how to implement optimization algorithms to tune machine learning models. Build optimal solutions for practical...
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Logic and Algorithms in Computational Linguistics (2001)

Logic and Algorithms in Computational Linguistics
This book assesses the place of logic, mathematics, and computer science in present day, interdisciplinary areas of computational linguistics. Computational linguistics studies natural language in its various manifestations from a computational point of view, both on the theoretical level (modeling grammar modules dealing with natural language form and...
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