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Computer Science > Computation and Language

arXiv:2207.10524 (cs)
[Submitted on 21 Jul 2022 (v1), last revised 1 Aug 2022 (this version, v2)]

Title:NusaCrowd: A Call for Open and Reproducible NLP Research in Indonesian Languages

Authors:Samuel Cahyawijaya, Alham Fikri Aji, Holy Lovenia, Genta Indra Winata, Bryan Wilie, Rahmad Mahendra, Fajri Koto, David Moeljadi, Karissa Vincentio, Ade Romadhony, Ayu Purwarianti
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Abstract:At the center of the underlying issues that halt Indonesian natural language processing (NLP) research advancement, we find data scarcity. Resources in Indonesian languages, especially the local ones, are extremely scarce and underrepresented. Many Indonesian researchers do not publish their dataset. Furthermore, the few public datasets that we have are scattered across different platforms, thus makes performing reproducible and data-centric research in Indonesian NLP even more arduous. Rising to this challenge, we initiate the first Indonesian NLP crowdsourcing effort, NusaCrowd. NusaCrowd strives to provide the largest datasheets aggregation with standardized data loading for NLP tasks in all Indonesian languages. By enabling open and centralized access to Indonesian NLP resources, we hope NusaCrowd can tackle the data scarcity problem hindering NLP progress in Indonesia and bring NLP practitioners to move towards collaboration.
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
Cite as: arXiv:2207.10524 [cs.CL]
  (or arXiv:2207.10524v2 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2207.10524

Submission history

From: Samuel Cahyawijaya [view email]
[v1] Thu, 21 Jul 2022 15:05:42 UTC (9,572 KB)
[v2] Mon, 1 Aug 2022 16:55:04 UTC (9,572 KB)
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