Automatic Language Identification in Texts

Lippincott, Tom

doi:10.1162/coli_r_00521

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July 31 2024

Automatic Language Identification in Texts

In Special Collection: CogNet

Automatic Language Identification in Texts by

Tommi

Jauhiainen

,

Marcos

Zampieri

,

Timothy

Baldwin

, and

Krister

Lindén

. (

University of Helsinki, George Mason University, MBZUAI, and University of Helsinki

)

Springer (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 44), 2024, xiv+148 pp; ISBN 978-3-031-45821-7; ebook, ISBN 978-3-031-45822-4; doi:10.1007/978-3-031-45822-4

Tom Lippincott

Tom Lippincott is Associate Research Professor in Computer Science and Director of the Center for Digital Humanities at Johns Hopkins University. He has published on language and dialect identification, particularly under conditions of extreme data sparsity, and explored approaches that combine standard techniques with augmentations from linear programming, signal processing, and active learning. Lippincott’s email address is [email protected].

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Author and Article Information

Tom Lippincott

Tom Lippincott is Associate Research Professor in Computer Science and Director of the Center for Digital Humanities at Johns Hopkins University. He has published on language and dialect identification, particularly under conditions of extreme data sparsity, and explored approaches that combine standard techniques with augmentations from linear programming, signal processing, and active learning. Lippincott’s email address is [email protected].

Online ISSN: 1530-9312

Print ISSN: 0891-2017

2024

Association for Computational Linguistics

This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits you to copy and redistribute in any medium or format, for non-commercial use only, provided that the original work is not remixed, transformed, or built upon, and that appropriate credit to the original source is given. For a full description of the license, please visit https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.

Computational Linguistics 1–3.

https://doi.org/10.1162/coli_r_00521

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2024

Association for Computational Linguistics

This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits you to copy and redistribute in any medium or format, for non-commercial use only, provided that the original work is not remixed, transformed, or built upon, and that appropriate credit to the original source is given. For a full description of the license, please visit https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.

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