Papers by David Moeljadi

4 papers
NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages (2023.eacl-main)

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Challenge: In Indonesia, many languages are endangered and some are even extinct due to the unavailability of data resources and benchmarks.
Approach: They propose a high-quality multilingual parallel corpus that covers 10 local languages from Indonesia.
Outcome: The proposed resource includes sentiment and machine translation datasets, and bilingual lexicons.
One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia (2022.acl-long)

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Challenge: There are more than 700 languages spoken in Indonesia, equal to 10% of the world's languages, second only to Papua New Guinea.
Approach: They focus on the languages spoken in Indonesia, the world's second most linguistically diverse nation, and the fourth most populous nation of the world.
Outcome: The proposed model is based on the languages spoken in Indonesia, the world's second-most linguistically diverse nation, with 273 million people spread over 17,508 islands.
NusaCrowd: Open Source Initiative for Indonesian NLP Resources (2023.findings-acl)

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Challenge: Existing NLP research in Indonesian languages has been held back by factors such as language diversity, orthographic variation, resource limitation and other societal challenges.
Approach: They present a collaborative initiative to collect and unify existing resources for Indonesian languages and open access to previously non-public resources.
Outcome: The results show that the datasets are highly reliable and can be used to generate the first zero-shot benchmarks for natural language understanding and generation in Indonesian and the local languages of Indonesia.
Building the Old Javanese Wordnet (2020.lrec-1)

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Challenge: Existing wordnets for Old Javanese are limited and lack of an open-source version of the language is a barrier to its development.
Approach: They propose to build a machine readable resource for Old Javanese using the Princeton Wordnet's synsets and semantic hierarchy.
Outcome: The wordnet contains 2,054 concepts or synsets and 5,911 senses.

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