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One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia

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arxiv 2203.13357 v1 pith:X2ZNCUPE submitted 2022-03-24 cs.CL

Alham Fikri Aji , Genta Indra Winata , Fajri Koto , Samuel Cahyawijaya , Ade Romadhony , Rahmad Mahendra , Kemal Kurniawan , David Moeljadi
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Radityo Eko Prasojo Timothy Baldwin Jey Han Lau Sebastian Ruder
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classification cs.CL
keywords languagesindonesiachallengesunderrepresentedcurrentdialectsresearchaffect
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NLP research is impeded by a lack of resources and awareness of the challenges presented by underrepresented languages and dialects. Focusing on the languages spoken in Indonesia, the second most linguistically diverse and the fourth most populous nation of the world, we provide an overview of the current state of NLP research for Indonesia's 700+ languages. We highlight challenges in Indonesian NLP and how these affect the performance of current NLP systems. Finally, we provide general recommendations to help develop NLP technology not only for languages of Indonesia but also other underrepresented languages.

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Cited by 1 Pith paper

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  1. Indigenous Languages Spoken in Argentina: A Survey of NLP and Speech Resources

    cs.CL 2025-01 conditional novelty 4.0 of 10

    A survey of Argentina's Indigenous languages and their available computational resources, with speaker estimates drawn from the 2022 national census.

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