Ireh Kim

ENHANCING DOCUMENT-LEVEL MACHINE TRANSLATION VIA FILTERED SYNTHETIC CORPORA AND TWO-STAGE LLM ADAPTATION

In Machine Translation, Large Language Models (LLMs) have generally underperformed compared to conventional encoder-decoder systems and thus see limited adoption. However, LLMs excel at modeling contextual information, making them a natural fit for document-level translation tasks where coherence ac…