Accepted papers in LoResMT 2024
Accepted papers
Research papers
Irish-based Large Language Model with Extreme Low-Resource Settings in Machine Translation
Finetuning End-to-End Models for Estonian Conversational Spoken Language Translation
Learning-From-Mistakes Prompting for Indigenous Language Translation
Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study
Linguistically Informed Transformers for Text to American Sign Language Translation
KpopMT: Translation Dataset with Terminology for Kpop Fandom
Enhancing Turkish Word Segmentation: A Focus on Borrowed Words and Invalid Morpheme
Adopting Ensemble Learning for Cross-lingual Classification of Crisis-related Text On Social Media
HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew
Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models