Similar Languages, Varieties, and Dialects: A Computational Perspective

Language resources and computational models are essential for studying language variation, but linguistics researchers and NLP researchers need to be familiar with them. This book provides an overview of state-of-the-art language technology and covers linguistic fundamentals, data collection, and NLP applications. It can be used in graduate courses and as a supplementary text for courses on language variation, dialectology, and sociolinguistics.

Format: Hardback
Length: 344 pages
Publication date: 02 September 2021
Publisher: Cambridge University Press

Language resources and computational models are gaining significant importance in the study of language variation, presenting a major challenge for both linguistics and NLP researchers. This comprehensive reference provides an essential introduction to the necessary computational tools for processing similar languages, varieties, and dialects. In this book, esteemed experts address the field's inherent challenges by balancing a thorough exploration of theoretical background with a comprehensive overview of state-of-the-art language technology. The book serves as a valuable resource for graduate courses, as well as supplementary material for courses on language variation, dialectology, sociolinguistics, computational linguistics, and NLP.

Part 1 delves into the linguistic fundamentals of the field, including the question of language variation's status. Part 2 explores data collection and pre-processing methods, while Part 3 presents NLP applications such as speech processing, machine translation, and language-specific issues in Arabic and Chinese.

By leveraging these computational models, researchers can gain a deeper understanding of language variation and its diverse manifestations across different regions and communities. This book serves as a valuable guide for scholars and practitioners seeking to advance their knowledge in this interdisciplinary field.

Weight: 610g
Dimension: 158 x 234 x 26 (mm)
ISBN-13: 9781108429351