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Automatic Language Identification in Texts pp 147–148Cite as

Conclusion and Future Directions

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Part of the book series: Synthesis Lectures on Human Language Technologies ((SLHLT))

Abstract

This work has investigated the automatic language identification of digitally-encoded texts. Over the last 50 years, automatic language identification of text has emerged as a separate field of study related to general text categorization.

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Authors and Affiliations

  1. University of Helsinki, Helsinki, Finland

    Tommi Jauhiainen & Krister Lindén

  2. George Mason University, Fairfax, VA, USA

    Marcos Zampieri

  3. MBZUAI, Abu Dhabi, United Arab Emirates

    Timothy Baldwin

Authors
  1. Tommi Jauhiainen
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  2. Marcos Zampieri
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  3. Timothy Baldwin
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  4. Krister Lindén
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Corresponding author

Correspondence to Tommi Jauhiainen .

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Jauhiainen, T., Zampieri, M., Baldwin, T., Lindén, K. (2024). Conclusion and Future Directions. In: Automatic Language Identification in Texts. Synthesis Lectures on Human Language Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-45822-4_7

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  • DOI: https://doi.org/10.1007/978-3-031-45822-4_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-45821-7

  • Online ISBN: 978-3-031-45822-4

  • eBook Packages: Synthesis Collection of Technology (R0)

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