Cuaċ: Fast and Small Universal Representations of Corpora

John Philip McCrae; Bernardo Stearns; Alamgir Munir Qazi; Shubhanker Banerjee; Atul Kr. Ojha

Cuaċ: Fast and Small Universal Representations of Corpora

John Philip McCrae, Bernardo Stearns, Alamgir Munir Qazi, Shubhanker Banerjee, Atul Kr. Ojha

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Abstract

The increasing size and diversity of corpora in natural language processing requires highly efficient processing frameworks. Building on the universal corpus format, Teanga, we present Cuaċ, a format for the compact representation of corpora. We describe this methodology based on short-string compression and indexing techniques and show that the files created with this methodology are similar to compressed human-readable serializations and can be further compressed using lossless compression. We also show that this introduces no computational penalty on the time to process files. This methodology aims to speed up natural language processing pipelines and is the basis for a fast database system for corpora.

Anthology ID:: 2025.ldk-1.17
Volume:: Proceedings of the 5th Conference on Language, Data and Knowledge
Month:: September
Year:: 2025
Address:: Naples, Italy
Editors:: Mehwish Alam, Andon Tchechmedjiev, Jorge Gracia, Dagmar Gromann, Maria Pia di Buono, Johanna Monti, Maxim Ionov
Venue:: LDK
SIG:
Publisher:: Unior Press
Note:
Pages:: 153–161
Language:
URL:: https://aclanthology.org/2025.ldk-1.17/
DOI:
Bibkey:
Cite (ACL):: John Philip McCrae, Bernardo Stearns, Alamgir Munir Qazi, Shubhanker Banerjee, and Atul Kr. Ojha. 2025. Cuaċ: Fast and Small Universal Representations of Corpora. In Proceedings of the 5th Conference on Language, Data and Knowledge, pages 153–161, Naples, Italy. Unior Press.
Cite (Informal):: Cuaċ: Fast and Small Universal Representations of Corpora (McCrae et al., LDK 2025)
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PDF:: https://aclanthology.org/2025.ldk-1.17.pdf

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@inproceedings{mccrae-etal-2025-cuac,
    title = "Cua{\.{c}}: Fast and Small Universal Representations of Corpora",
    author = "McCrae, John Philip  and
      Stearns, Bernardo  and
      Qazi, Alamgir Munir  and
      Banerjee, Shubhanker  and
      Ojha, Atul Kr.",
    editor = "Alam, Mehwish  and
      Tchechmedjiev, Andon  and
      Gracia, Jorge  and
      Gromann, Dagmar  and
      di Buono, Maria Pia  and
      Monti, Johanna  and
      Ionov, Maxim",
    booktitle = "Proceedings of the 5th Conference on Language, Data and Knowledge",
    month = sep,
    year = "2025",
    address = "Naples, Italy",
    publisher = "Unior Press",
    url = "https://aclanthology.org/2025.ldk-1.17/",
    pages = "153--161",
    ISBN = "978-88-6719-333-2",
    abstract = "The increasing size and diversity of corpora in natural language processing requires highly efficient processing frameworks. Building on the universal corpus format, Teanga, we present Cua{\.{c}}, a format for the compact representation of corpora. We describe this methodology based on short-string compression and indexing techniques and show that the files created with this methodology are similar to compressed human-readable serializations and can be further compressed using lossless compression. We also show that this introduces no computational penalty on the time to process files. This methodology aims to speed up natural language processing pipelines and is the basis for a fast database system for corpora."
}

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%0 Conference Proceedings
%T Cuaċ: Fast and Small Universal Representations of Corpora
%A McCrae, John Philip
%A Stearns, Bernardo
%A Qazi, Alamgir Munir
%A Banerjee, Shubhanker
%A Ojha, Atul Kr.
%Y Alam, Mehwish
%Y Tchechmedjiev, Andon
%Y Gracia, Jorge
%Y Gromann, Dagmar
%Y di Buono, Maria Pia
%Y Monti, Johanna
%Y Ionov, Maxim
%S Proceedings of the 5th Conference on Language, Data and Knowledge
%D 2025
%8 September
%I Unior Press
%C Naples, Italy
%@ 978-88-6719-333-2
%F mccrae-etal-2025-cuac
%X The increasing size and diversity of corpora in natural language processing requires highly efficient processing frameworks. Building on the universal corpus format, Teanga, we present Cuaċ, a format for the compact representation of corpora. We describe this methodology based on short-string compression and indexing techniques and show that the files created with this methodology are similar to compressed human-readable serializations and can be further compressed using lossless compression. We also show that this introduces no computational penalty on the time to process files. This methodology aims to speed up natural language processing pipelines and is the basis for a fast database system for corpora.
%U https://aclanthology.org/2025.ldk-1.17/
%P 153-161

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Markdown (Informal)

[Cuaċ: Fast and Small Universal Representations of Corpora](https://aclanthology.org/2025.ldk-1.17/) (McCrae et al., LDK 2025)

Cuaċ: Fast and Small Universal Representations of Corpora (McCrae et al., LDK 2025)

ACL

John Philip McCrae, Bernardo Stearns, Alamgir Munir Qazi, Shubhanker Banerjee, and Atul Kr. Ojha. 2025. Cuaċ: Fast and Small Universal Representations of Corpora. In Proceedings of the 5th Conference on Language, Data and Knowledge, pages 153–161, Naples, Italy. Unior Press.