Similar Languages, Varieties, and Dialects

A Computational Perspective
Herausgeber: Zampieri, Marcos; Nakov, Preslav

• Gebundenes Buch

Produktbeschreibung

"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"--

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 344
• Erscheinungstermin: 2. September 2021
• Englisch
• Abmessung: 234mm x 206mm x 20mm
• Gewicht: 590g
• ISBN-13: 9781108429351
• ISBN-10: 1108429351
• Artikelnr.: 59258760

Inhaltsangabe

Introduction Marcos Zampieri and Preslav Nakov; Part I: Language variation James Walker; Phonetic variation in dialects Rachael Tatman; 3. Similar languages, varieties and dialects Miriam Meyerhoff and Steffen Klaere; 4. Mutual intelligibility Charlotte Gooskens and Vincent J. van Heuven; 5. Dialectology for computational linguists John Nerbonne, Wilbert Heeringa, Jelena Proki
and Martijn Wieling; Part II: 6. Data collection and representation for similar languages, varieties and dialects Tanja Samardi
and Nikola Ljubei
; 7. Adaptation of morphosyntactic taggers Yves Scherrer; 8. Sharing dependency parsers between similar languages eljko Agi
; Part III: 9. Dialect and similar language identification Marcos Zampieri; 10. Dialect variation on social media Dong Nguyen; 11. Machine translation between similar languages Preslav Nakov and Jorg Tiedemann; 12. Automatic spoken dialect identification Pedro Torres-Carrasquillo and Bengt Borgström; 13. Arabic dialect processing Nizar Habash; 14. Automatic classification of varieties of Mandarin Chinese Hongzhi Xu, Menghan Jiang, Jingxia Lin, Dingxu Shi and Chu-Ren Huang.