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020 _a9783031458224
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024 7 _a10.1007/978-3-031-45822-4
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072 7 _aCOM073000
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100 1 _aJauhiainen, Tommi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_968971
245 1 0 _aAutomatic Language Identification in Texts
_h[electronic resource] /
_cby Tommi Jauhiainen, Marcos Zampieri, Timothy Baldwin, Krister Lindén.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXIV, 148 p. 10 illus., 8 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Human Language Technologies,
_x1947-4059
505 0 _a1 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.
520 _aThis 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. .
650 0 _aNatural language processing (Computer science).
_965131
650 0 _aComputational linguistics.
650 0 _aApplication software.
650 0 _aSampling (Statistics).
_959805
650 0 _aArtificial intelligence.
_958441
650 0 _aComputer science.
_958552
650 1 4 _aNatural Language Processing (NLP).
_966164
650 2 4 _aComputational Linguistics.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aMethodology of Data Collection and Processing.
_965946
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aComputer Science.
_958552
700 1 _aZampieri, Marcos.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_968972
700 1 _aBaldwin, Timothy.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_968973
700 1 _aLindén, Krister.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_968974
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031458217
776 0 8 _iPrinted edition:
_z9783031458231
776 0 8 _iPrinted edition:
_z9783031458248
830 0 _aSynthesis Lectures on Human Language Technologies,
_x1947-4059
_966859
856 4 0 _uhttps://doi.org/10.1007/978-3-031-45822-4
912 _aZDB-2-SXSC
999 _c57022
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