Language and Text: Data, Models, Information and Applications (Current Issues in Linguistic Theory)

Adam Pawlowski; Jan Macutek; Sheila Embleton; George Mikros

ISBN 10: 9027210101 / ISBN 13: 9789027210104

Published by John Benjamins, 2021

About this Item

Hardcover, vi + 280 pages, NOT ex-library. Minor handling wear only, book is fresh, clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. Issued without a dust jacket. -- Hardcover, vi + 280 pages, NOT ex-library. Minor handling wear only, book is fresh, clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. Issued without a dust jacket. -- A collection of research in quantitative linguistics and text mining. It brings together international scholars to demonstrate how mathematical models and statistical data can be used to uncover the underlying structures of human language. The book is dedicated to the memory of Ludek Hrebícek, a pioneer in the field, and reflects his influence on treating language as a dynamic, self-organising system. Quantitative Models: The contributors apply various statistical laws (such as Zipf's Law and the Menzerath-Altmann Law) to analyse word frequency, sentence length, and the distribution of linguistic units. Textual Dynamics: Several chapters explore "textual space," examining how information is distributed throughout a document and how different parts of a text relate to one another mathematically. Information Theory: The book uses concepts like entropy and information density to measure the complexity of different languages and genres. Applied Linguistics: Beyond pure theory, the text demonstrates how these models can be applied to authorship attribution (identifying who wrote a text), stylometry, and machine translation. The research is categorised into several specialised fields: - Lexicology and Grammar: Statistical analysis of vocabulary growth and the hierarchical structure of grammatical units. - Dialectology and Typology: Using data-driven methods to compare different languages and regional dialects. - History of Linguistics: Essays reflecting on the evolution of quantitative methods from the mid-20th century to the era of Big Data. - Digital Humanities: Demonstrations of how computational tools can process vast corpora of historical and contemporary texts to find patterns invisible to the naked eye. The book is highly relevant for researchers in natural language processing (NLP) and corpus linguistics. It provides a rigorous theoretical foundation for the algorithms that power modern search engines and AI language models.

Seller Inventory # 011694

Bibliographic Details

• Title: Language and Text: Data, Models, Information and Applications (Current Issues in Linguistic Theory)
• Publisher: John Benjamins
• Publication Date: 2021
• Language: English
• ISBN 10: 9027210101
• ISBN 13: 9789027210104
• Binding: Hardcover
• Edition: 1st Edition
• Condition: Near Fine

About this title

Synopsis

Specialists in quantitative linguistics the world over have recourse to a solid and universal methodology. These days, their methods and mathematical models must also respond to new communication phenomena and the flood of data produced daily. While various disciplines (computer science, media science) have different ways of processing this onslaught of information, the linguistic approach is arguably the most relevant and effective. This book includes recent results from many renowned contemporary practitioners in the field. Our target audiences are academics, researchers, graduate students, and others involved in linguistics, digital humanities, and applied mathematics.