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OverviewLanguage 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. Full Product DetailsAuthor: Marcos Zampieri (Rochester Institute of Technology, New York) , Preslav NakovPublisher: Cambridge University Press Imprint: Cambridge University Press Dimensions: Width: 15.50cm , Height: 2.20cm , Length: 23.40cm Weight: 0.610kg ISBN: 9781108429351ISBN 10: 1108429351 Pages: 344 Publication Date: 02 September 2021 Audience: College/higher education , Tertiary & Higher Education Format: Hardback Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsIntroduction 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 Prokić and Martijn Wieling; Part II: 6. Data collection and representation for similar languages, varieties and dialects Tanja Samardžić and Nikola Ljubešić; 7. Adaptation of morphosyntactic taggers Yves Scherrer; 8. Sharing dependency parsers between similar languages Željko Agić; 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.Reviews'Variation is a key aspect of human language, and yet it has been too often overlooked in computational linguistics. The book edited by Marcos Zampieri and Preslav Nakov is an important step towards filling this gap with top-level contributions that offer a new alliance between natural language processing and linguistic theory to understand this complex phenomenon and its impact on applications.' Alessandro Lenci, University of Pisa Author InformationDr. Marcos Zampieri is an assistant professor at the Rochester Institute of Technology, where he teaches courses in linguistics and natural language processing. He received his PhD for Saarland University in Germany with a thesis on computational models applied to pluricentric languages. Dr. Zampieri is one of the organizers of the well-established VarDial workshop series on NLP for Similar Languages, Varieties, and Dialects. His research deals with the application of computational models to large collections of texts. He has worked on a variety of topics including language acquisition and variation, (machine) translation and post-editing, and social media mining. Dr. Preslav Nakov is Principal Scientist at Qatar Computing Research Institute at Hamad Bin Khalifa University. He leads the Tanbih mega-project, developed in collaboration with MIT. He co-authored a book on Semantic Relations between Nominals, two books on computer algorithms, and many research papers in top-tier conferences and journals. He received the Young Researcher Award at RANLP'2011. He was also the first to receive the Bulgarian President's John Atanasoff award, named after the inventor of the first automatic electronic digital computer. Dr. Nakov's research was featured in over 100 news outlets, including Forbes, Boston Globe, and MIT Technology Review. Tab Content 6Author Website:Countries AvailableAll regions |
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