activity
20202026
most citedAdaptive Machine Translation with Large Language Models

43 citations · 84 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Investigating Model Compression for Neural Machine Translation in the Biomedical Domain

Maria Zafar, Souhail Bakkali, Rejwanul Haque

Large-scale pretrained transformer models have achieved state-of-the-art performance across diverse machine translation tasks, including multilingual settings. Knowledge distillati…

cs.CL2023★ 6 cited

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…

cs.CL2023★ 24 cited

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…

cs.CL2023★ 43 cited

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…

cs.CL2022★ 4 cited

Translation Word-Level Auto-Completion: What can we achieve out of the box?

Yasmin Moslem, Rejwanul Haque, Andy Way

Research on Machine Translation (MT) has achieved important breakthroughs in several areas. While there is much more to be done in order to build on this success, we believe that t…

cs.CL2022★ 3 cited

Domain-Specific Text Generation for Machine Translation

Yasmin Moslem, Rejwanul Haque, John D. Kelleher +1

Preservation of domain knowledge from the source to target is crucial in any translation workflow. It is common in the translation industry to receive highly specialized projects,…

cs.CL2020★ 4 cited

Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation

Andy Way, Rejwanul Haque, Guodong Xie +3

Every day, more people are becoming infected and dying from exposure to COVID-19. Some countries in Europe like Spain, France, the UK and Italy have suffered particularly badly fro…