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2022 ACL ACL 2022

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

Abstract

AbstractNLP 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.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Machine Learning and Natural Language Processing
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio

Authors

Alham Fikri Aji , Genta Indra Winata , Fajri Koto , Samuel Cahyawijaya , Ade Romadhony , Rahmad Mahendra , Kemal Kurniawan , David Moeljadi , Radityo Eko Prasojo , Timothy Baldwin , Jey Han Lau , Sebastian Ruder

Topics

Artificial Intelligence > Core AI > Responsible AI Machine Learning > Application Areas > Fairness Natural Language Processing > Resources & Methods > Multilingual NLP Artificial Intelligence > Core AI > Natural Language Processing

Keywords

natural language processing multilingual nlp low-resource language language diversity underrepresented language
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