Similar Languages, Varieties, and Dialects

A Computational Perspective

Marcos Zampieri, Preslav Nakov

• Publisher: Cambridge University Press
• Year: 2021
• Print ISBN: 9781108429351
• eBook ISBN: 9781316998946
• Topic: Computer Science
• Subtopic: Natural Language Processing
• Index: Computer Science

Language resources and computational models are becoming increasingly important for the study of language variation. A main challenge of this interdisciplinary field is that linguistics researchers may not be familiar with these helpful computational tools and many NLP researchers are often not familiar with language variation phenomena. This essential reference introduces researchers to the necessary computational models for processing similar languages, varieties, and dialects. In this book, leading experts tackle the inherent challenges of the field by balancing a thorough discussion of the theoretical background with a meaningful overview of state-of-the-art language technology. The book can be used in a graduate course, or as a supplementary text for courses on language variation, dialectology, and sociolinguistics or on computational linguistics and NLP. Part 1 covers the linguistic fundamentals of the field such as the question of status and language variation. Part 2 discusses data collection and pre-processing methods. Finally, Part 3 presents NLP applications such as speech processing, machine translation, and language-specific issues in Arabic and Chinese.

Table of contents

• Cover
• Half-title
• Series information
• Title page
• Copyright information
• Contents
• List of Contributors
• Foreword
• Introduction
• Part I Fundamentals
• Part II Methods and Resources
• Part III Applications and Language Specific Issues