Thursday, August 15, 2024 (GMT-07:00)

09:00 - 09:10   Opening remarks by Chao-Hong Liu and Atul Kr. Ojha (on behalf of Workshop Chairs)

09:10 - 10:05   Invited talk 1: Kevin Duh, John Hopkins University (USA)

                           Chair:  John P. McCrae

Title - Hyperparameter Optimization for Low-Resource Machine Translation

Abstract:  Neural Machine Translation models are full of hyperparameters. To obtain a good model, one must carefully experiment with hyperparameters such as the number of layers, the number of hidden nodes, the type of non-linearity, the learning rate, and the drop-out parameter, just to name a few. He will discuss general hyperparameter optimization algorithms—including those based on evolutionary strategies, Bayesian techniques, and bandit learning–that can automate this laborious process. Further, he will argue that hyperparameter optimization is especially valuable for low-resource settings, where commonly-used hyperparameters are often suboptimal and small data sizes afford larger search spaces.

Finally, he will discuss benchmarks and datasets for evaluating hyperparameter optimization algorithms in practice.

10:05 - 10:30    Session 1: Booster Presentations

Chair:  Nathaniel Oco

• 10:05-10:07  KpopMT: Translation Dataset with Terminology for Kpop Fandom- JiWoo Kim, Yunsu Kim and JinYeong Bak

• 10:07-10:09 HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew- Itai Mondshine, Tzuf Paz-Argaman, Asaf Achi Mordechai and Reut Tsarfaty

• 10:09-10:11  Challenges in Urdu Machine Translation- Abdul Basit, Abdul Hameed Azeemi and Agha Ali Raza

• 10:11-10:13 Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models- Gyutae Park, Seojin Hwang and Hwanhee Lee

• 10:13-10:15 Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study- Aniruddha Roy, Pretam Ray, Ayush Maheshwari, Sudeshna Sarkar and Pawan Goyal

• 10:15-10:17  Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin- Samuel Frontull and Georg Moser

• 10:17-10:19  AGE: Amharic, Ge’ez and English Parallel Dataset- Henok Biadglign Ademtew and Mikiyas Girma Birbo

• 10:19-10:21  Adopting Ensemble Learning for Cross-lingual Classification of Crisis-related Text On Social Media- Shareefa Ahmed Al Amer, Mark G. Lee and Phillip Smith

• 10:21-10:23  Rosetta Balcanica: Deriving a "Gold Standard''  Neural Machine Translation (NMT) Parallel Dataset from High-Fidelity Resources for Western Balkan Languages- Edmon Begoli, Maria Mahbub and Sudarshan Srinivasan

• 10:23-10:25  Irish-based Large Language Model with Extreme Low-Resource Settings in Machine Translation- Khanh-Tung Tran, Barry O’Sullivan and Hoang D. Nguyen

10:35 - 11:00    COFFEE/TEA BREAK

11:10 - 12:30    Session 2: Scientific Research Papers

Chair:  Chao-Hong Liu

• 11:00-11:18  Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages - Zhuoyuan Mao and Yen Yu

• 11:18- 11:36  Linguistically Informed Transformers for Text to American Sign Language Translation- Abhishek Bharadwaj Varanasi, Manjira Sinha and Tirthankar Dasgupta

• 11:36-11:54  Leveraging Mandarin as a Pivot Language for Low-Resource Machine Translation from Cantonese to English - King Yiu Suen, Rudolf Chow and Albert Y.s. Lam

• 11:54-12:12  Enhancing Turkish Word Segmentation: A Focus on Borrowed Words and Invalid Morpheme - Soheila Behrooznia, Ebrahim Ansari and Zdenek Zabokrtsky

• 12:12-12:30  Super donors and super recipients: Studying cross-lingual transfer between high-resource and low-resource languages - Vitaly Protasov, Elisei Stakovskii, Ekaterina Voloshina, Tatiana Shavrina and Alexander Panchenko

12:30 - 14:00    LUNCH

14:00 - 15:00    Invited talk 2: Loïc Barrault, Meta AI

                                    Chair:  Ekaterina Vylomova

Title - TBD

Abstract:  TBD

15:00 - 16:00    Session 3: Poster Session

Chair:  Valentin Malykh

• KpopMT: Translation Dataset with Terminology for Kpop Fandom- JiWoo Kim, Yunsu Kim and JinYeong Bak

• HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew- Itai Mondshine, Tzuf Paz-Argaman, Asaf Achi Mordechai and Reut Tsarfaty

• Challenges in Urdu Machine Translation- Abdul Basit, Abdul Hameed Azeemi and Agha Ali Raza

• Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models- Gyutae Park, Seojin Hwang and Hwanhee Lee

• Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study- Aniruddha Roy, Pretam Ray, Ayush Maheshwari, Sudeshna Sarkar and Pawan Goyal

• Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin- Samuel Frontull and Georg Moser

• AGE: Amharic, Ge’ez and English Parallel Dataset- Henok Biadglign Ademtew and Mikiyas Girma Birbo

• Adopting Ensemble Learning for Cross-lingual Classification of Crisis-related Text On Social Media- Shareefa Ahmed Al Amer, Mark G. Lee and Phillip Smith

• Rosetta Balcanica: Deriving a "Gold Standard''  Neural Machine Translation (NMT) Parallel Dataset from High-Fidelity Resources for Western Balkan Languages- Edmon Begoli, Maria Mahbub and Sudarshan Srinivasan

• Irish-based Large Language Model with Extreme Low-Resource Settings in Machine Translation- Khanh-Tung Tran, Barry O’Sullivan and Hoang D. Nguyen

15:30 - 16:00    COFFEE/TEA BREAK

16:00 - 17:30    Session 3: Scientific Research Papers

Chair:  Atul Kr. Ojha

• 16:00-16:18 Tokenisation in Machine Translation Does Matter: The impact of different tokenisation approaches for Maltese- Kurt Abela, Kurt Micallef, Marc Tanti and Claudia Borg

• 16:18-16:36  Machine Translation Through Cultural Texts: Can Verses and Prose Help Low-Resource Indigenous Models? - Antoine Cadotte, Nathalie André and Fatiha Sadat

• 16:36-16:54  Learning-From-Mistakes Prompting for Indigenous Language Translation - You Cheng Liao, Chen-Jui Yu, Chi-Yi Lin, He-Feng Yun, Yen-Hsiang Wang, Hsiao-Min Li and Yao-Chung Fan

• 16:54-17:12  Finetuning End-to-End Models for  Estonian Conversational Spoken Language Translation - Tiia Sildam, Andra Velve and Tanel Alumäe

• 17:12-17:30  Benchmarking of Low-Resource Machine Translation Systems  - Ana Alexandra Morim Da Silva, Nikit Srivastava, Tatiana Moteu Ngoli, Michael Röder, Diego Moussallem and Axel-Cyrille Ngonga Ngomo

17:30 -17:40  Closing remarks by Atul Kr. Ojha and Chao-Hong Liu ( on behalf of Workshop Chairs)