3 papers
cs.CL2024
On Instruction-Finetuning Neural Machine Translation Models
Vikas Raunak, Roman Grundkiewicz, Marcin Junczys-Dowmunt
In this work, we introduce instruction finetuning for Neural Machine Translation (NMT) models, which distills instruction following capabilities from Large Language Models (LLMs) i…
cs.CL2024
PyMarian: Fast Neural Machine Translation and Evaluation in Python
Thamme Gowda, Roman Grundkiewicz, Elijah Rippeth +2
The deep learning language of choice these days is Python; measured by factors such as available libraries and technical support, it is hard to beat. At the same time, software wri…
cs.CL2024
Escaping the sentence-level paradigm in machine translation
Matt Post, Marcin Junczys-Dowmunt
It is well-known that document context is vital for resolving a range of translation ambiguities, and in fact the document setting is the most natural setting for nearly all transl…