43 citations · 84 across the 7 of their papers we have counts for
3 papers · 1 filter
Fine-tuning Large Language Models for Adaptive Machine Translation
Yasmin Moslem, Rejwanul Haque, Andy Way
This paper presents the outcomes of fine-tuning Mistral 7B, a general-purpose large language model (LLM), for adaptive machine translation (MT). The fine-tuning process involves ut…
Domain Terminology Integration into Machine Translation: Leveraging Large Language Models
Yasmin Moslem, Gianfranco Romani, Mahdi Molaei +3
This paper discusses the methods that we used for our submissions to the WMT 2023 Terminology Shared Task for German-to-English (DE-EN), English-to-Czech (EN-CS), and Chinese-to-En…
Adaptive Machine Translation with Large Language Models
Yasmin Moslem, Rejwanul Haque, John D. Kelleher +1
Consistency is a key requirement of high-quality translation. It is especially important to adhere to pre-approved terminology and adapt to corrected translations in domain-specifi…