3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.CL2024
Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation
Yasmin Moslem
This paper describes our system submission to the International Conference on Spoken Language Translation (IWSLT 2024) for Irish-to-English speech translation. We built end-to-end…
cs.CL2024★ 1 cited
Language Modelling Approaches to Adaptive Machine Translation
Yasmin Moslem
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★ 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,…