04657nam a22006255i 4500 978-3-031-45822-4 DE-He213 20251030110909.0 cr nn 008mamaa 240101s2024 sz | s |||| 0|eng d 9783031458224 978-3-031-45822-4 10.1007/978-3-031-45822-4 doi QA76.9.N38 UYQL bicssc COM073000 bisacsh UYQL thema Jauhiainen, Tommi. author. aut http://id.loc.gov/vocabulary/relators/aut 68971 Automatic Language Identification in Texts [electronic resource] / by Tommi Jauhiainen, Marcos Zampieri, Timothy Baldwin, Krister Lindén. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XIV, 148 p. 10 illus., 8 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Synthesis Lectures on Human Language Technologies, 1947-4059 1 Introduction to Language Identification -- 2 Features and Methods -- 3 Evaluation and measurement -- 4 Specific Challenges of Variation and Text Types -- 5 Large scale, Multi-domain Language Identification -- 6 Applications and Related Tasks -- 7 Conclusion and Future Directions. This book provides readers with a brief account of the history of Language Identification (LI) research and a survey of the features and methods most used in LI literature. LI is the problem of determining the language in which a document is written and is a crucial part of many text processing pipelines. The authors use a unified notation to clarify the relationships between common LI methods. The book introduces LI performance evaluation methods and takes a detailed look at LI-related shared tasks. The authors identify open issues and discuss the applications of LI and related tasks and proposes future directions for research in LI. In addition, this book reviews the history of LI research, including the challenges that have renewed interest in researching the topic Compares and contrasts the features and methods commonly used for LI, as well as LI performance evaluation methods Highlights the applications of language identificationand identifies areas for future research in LI About the Authors: Tommi Jauhiainen, Ph.D., is a Post-doctoral Researcher at The University of Helsinki. Marcos Zampieri, Ph.D., is an Assistant Professor at George Mason University. Timothy Baldwin, Ph.D., is the Acting Provost and Chair of the Department of Natural Language Processing at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in addition to being a Melbourne Laureate Professor in the School of Computing and Information Systems at The University of Melbourne. Krister Lindén, Ph.D., is the Research Director of Language Technology at the University of Helsinki in addition to the National Coordinator of FIN-CLARIN, the Finnish Node of CLARIN ERIC, which is a European research infrastructure for Social Sciences and the Humanities. . Natural language processing (Computer science). 65131 Computational linguistics. Application software. Sampling (Statistics). 59805 Artificial intelligence. 58441 Computer science. 58552 Natural Language Processing (NLP). 66164 Computational Linguistics. Computer and Information Systems Applications. Methodology of Data Collection and Processing. 65946 Artificial Intelligence. 58441 Computer Science. 58552 Zampieri, Marcos. author. aut http://id.loc.gov/vocabulary/relators/aut 68972 Baldwin, Timothy. author. aut http://id.loc.gov/vocabulary/relators/aut 68973 Lindén, Krister. author. aut http://id.loc.gov/vocabulary/relators/aut 68974 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031458217 Printed edition: 9783031458231 Printed edition: 9783031458248 Synthesis Lectures on Human Language Technologies, 1947-4059 66859 https://doi.org/10.1007/978-3-031-45822-4 ZDB-2-SXSC 57022 57022