Abstract
The rapid advancements and the widespread transformation of Large Language Models, have made it necessary to incorporate these cutting-edge techniques into the educational curricula of Natural Language Processing (NLP) with limited computing resources. This paper presents an applied NLP course designed for upper-year computer science undergraduate students on state-of-the-art techniques with an emphasis on multilinguality and language diversity. We hope to empower learners to advance their language community while preparing for industry.- Anthology ID:
- 2024.teachingnlp-1.10
- Volume:
- Proceedings of the Sixth Workshop on Teaching NLP
- Month:
- August
- Year:
- 2024
- Address:
- Bangkok, Thailand
- Editors:
- Sana Al-azzawi, Laura Biester, György Kovács, Ana Marasović, Leena Mathur, Margot Mieskes, Leonie Weissweiler
- Venues:
- TeachingNLP | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 73–76
- Language:
- URL:
- https://aclanthology.org/2024.teachingnlp-1.10
- DOI:
- Cite (ACL):
- En-Shiun Lee, Kosei Uemura, Syed Wasti, and Mason Shipton. 2024. Empowering the Future with Multilinguality and Language Diversity. In Proceedings of the Sixth Workshop on Teaching NLP, pages 73–76, Bangkok, Thailand. Association for Computational Linguistics.
- Cite (Informal):
- Empowering the Future with Multilinguality and Language Diversity (Lee et al., TeachingNLP-WS 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-5/2024.teachingnlp-1.10.pdf