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Navigating NLP for Underrepresented Languages: Dataset Challenges, Efficient Techniques, and Evaluations

MBZUAI ·

MBZUAI's Dr. Fajri Koto presented research on overcoming challenges in NLP for underrepresented languages. His work includes creating multilingual datasets for Indonesian languages by engaging native speakers and finding that direct composition yields better results than translation. He also discussed vocabulary adaptation and zero-shot learning to address computational resource limitations, and emphasized the importance of datasets with local context for evaluating LLMs. Why it matters: This research addresses critical gaps in NLP for low-resource languages, providing insights and techniques to improve performance and cultural relevance in multilingual AI models within the region and globally.

MBZUAI provides unique insights into the challenges facing artificial intelligence researchers in Southeast Asia

MBZUAI ·

MBZUAI faculty won two awards and published eight papers at the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2023). Alham Fikri Aji and Fajri Koto won the Best Resource Award for NusaWrites, a paper on constructing high-quality corpora for low-resource Indonesian languages by engaging speaker communities. Muhammad Abdul-Mageed won an Area Chair award for ProMap, a method for constructing bilingual dictionaries via language model prompting. Why it matters: This highlights MBZUAI's contribution to NLP research, particularly in low-resource languages and bilingual lexicon induction, and strengthens its position as a hub for AI research in the region.

Faculty win EACL 2023 outstanding paper

MBZUAI ·

MBZUAI faculty Alham Fikri Aji, Timothy Baldwin, and Fajri Koto won an Outstanding Paper Award at EACL 2023 for their paper "NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages." The paper introduces the first parallel resource for 10 Indonesian low-resource languages to boost performance in sentiment analysis and machine translation. The dataset is available on HuggingFace. Why it matters: This work highlights MBZUAI's commitment to advancing NLP research in low-resource languages, which can help preserve linguistic diversity and improve access to digital resources for speakers of underrepresented languages.

Baldwin headlines ACL 2022

MBZUAI ·

MBZUAI Professor Timothy Baldwin delivered the presidential keynote at the 60th Annual Meeting of the Association for Computational Linguistics (ACL). Baldwin also published three papers at the conference, including work on biomedical literature summarization, NLP for Indonesian languages, and understanding procedural texts. The papers address challenges such as reducing human effort in reviewing medical documents and digitally preserving Indonesian indigenous languages. Why it matters: Baldwin's contributions and leadership role at ACL highlight the growing prominence of MBZUAI and GCC-based researchers in the global NLP community.

MBZUAI welcomes Indonesian delegates to campus

MBZUAI ·

A delegation from the Indonesian Embassy visited MBZUAI on November 23, 2021, to learn about the university. Attendees included Dr. Hosni Ghedira, Ms. Reem Al Orfali, and Mr. Yaqoob Al Blooshi from MBZUAI, and Dr. Ir. Hammam Riza and Mr. Gatot Dwianto from the Indonesian National Agency for Research and Innovation. The visit aimed to establish closer relations and explore future collaboration opportunities. Why it matters: Such visits foster international partnerships in AI research and education, strengthening MBZUAI's global presence and potentially leading to joint projects and knowledge exchange.