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  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    UID:
    edoccha_9961449887302883
    Format: 1 online resource (155 pages)
    Edition: 1st ed.
    ISBN: 3-031-45822-2
    Series Statement: Synthesis Lectures on Human Language Technologies Series
    Note: Intro -- Foreword -- Acknowledgments -- References -- Contents -- About the Authors -- 1 Introduction to Language Identification -- 1.1 A Brief History of Language Identification (LI) -- 1.2 What is LI Used For? -- 1.3 What are the Main Challenges that Make LI Difficult? -- 2 Features and Methods -- 2.1 On Notation -- 2.2 What Textual Features Are Used for LI and How Are They Collected and Calculated? -- 2.2.1 Feature Smoothing -- 2.3 What Classification Methods Are Used for LI and How Do They Work? -- 2.3.1 Decision Rules, Trees and Random Forests -- 2.3.2 Simple Scoring -- 2.3.3 Sum or Average of Values -- 2.3.4 Product of Values -- 2.3.5 Similarity Measures -- 2.3.6 Logistic Regression -- 2.3.7 Support Vector Machines -- 2.3.8 Neural Networks -- 2.3.9 Ensemble Methods -- 2.4 Machine Learning Toolkits and Libraries -- 3 Evaluation and Measurement -- 3.1 How is LI Performance Evaluated? What Are the Measures … -- 3.2 What Material Can Be Used in Training and Evaluating Language Identifiers? -- 3.3 LI Shared Tasks -- 4 Specific Challenges of Variation and Text Types -- 4.1 Language Similarity -- 4.1.1 LI for Similar Languages, Varieties, and Dialects -- 4.2 Low-Resource Languages -- 4.3 Orthography and Its Variations -- 4.4 Short Texts -- 5 Large Scale, Multi-domain Language Identification -- 5.1 Number of Languages -- 5.2 Unseen Languages -- 5.3 Multilingual Texts -- 5.4 Domain Compatibility -- 6 Applications and Related Tasks -- [DELETE] -- 6.1 Applications -- 6.1.1 Monolingual NLP Components -- 6.1.2 Machine Translation -- 6.1.3 Multilingual Document Storage and Retrieval -- 6.2 Related Tasks -- 6.2.1 Native Language Identification -- 6.2.2 Author Profiling and Identification -- 7 Conclusion and Future Directions.
    Additional Edition: ISBN 9783031458217
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    UID:
    almafu_9961449887302883
    Format: 1 online resource (155 pages)
    Edition: 1st ed. 2024.
    ISBN: 3-031-45822-2
    Series Statement: Synthesis Lectures on Human Language Technologies,
    Content: 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. .
    Note: 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.
    Additional Edition: ISBN 9783031458217
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    gbv_1877503177
    Format: 1 Online-Ressource (xiv,148 Seiten)
    ISBN: 9783031458224
    Series Statement: Synthesis lectures on human language technologies
    Content: 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 identification and 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. .
    Additional Edition: ISBN 9783031458217
    Additional Edition: ISBN 9783031458248
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031458217
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031458248
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    almahu_9949744353802882
    Format: XIV, 148 p. 10 illus., 8 illus. in color. , online resource.
    Edition: 1st ed. 2024.
    ISBN: 9783031458224
    Series Statement: Synthesis Lectures on Human Language Technologies,
    Content: 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. .
    Note: 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.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031458217
    Additional Edition: Printed edition: ISBN 9783031458231
    Additional Edition: Printed edition: ISBN 9783031458248
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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