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Computer Science > Computation and Language

arXiv:2205.15960 (cs)
[Submitted on 31 May 2022 (v1), last revised 12 Apr 2023 (this version, v2)]

Title:NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages

Authors:Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Rahmad Mahendra, Fajri Koto, Ade Romadhony, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Pascale Fung, Timothy Baldwin, Jey Han Lau, Rico Sennrich, Sebastian Ruder
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Abstract:Natural language processing (NLP) has a significant impact on society via technologies such as machine translation and search engines. Despite its success, NLP technology is only widely available for high-resource languages such as English and Chinese, while it remains inaccessible to many languages due to the unavailability of data resources and benchmarks. In this work, we focus on developing resources for languages in Indonesia. Despite being the second most linguistically diverse country, most languages in Indonesia are categorized as endangered and some are even extinct. We develop the first-ever parallel resource for 10 low-resource languages in Indonesia. Our resource includes datasets, a multi-task benchmark, and lexicons, as well as a parallel Indonesian-English dataset. We provide extensive analyses and describe the challenges when creating such resources. We hope that our work can spark NLP research on Indonesian and other underrepresented languages.
Comments: EACL 2023
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2205.15960 [cs.CL]
  (or arXiv:2205.15960v2 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2205.15960

Submission history

From: Genta Indra Winata [view email]
[v1] Tue, 31 May 2022 17:03:50 UTC (483 KB)
[v2] Wed, 12 Apr 2023 16:42:53 UTC (608 KB)
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