In-context machine translation, a novel approach utilizing large language models (LLMs) has gained attention for its ability to perform machine translation (MT) by learning from examples of ...

This repository contains code and resources for training and fine-tuning machine translation models using the Hugging Face Transformers library. The primary focus is on translating between English and ...

Neural machine translation (NMT) is a machine translation approach that utilizes an artificial neural network to predict the likelihood of a sequence of words. With the development of deep learning, ...

We are conducting a research on the machine translation for news to provide information to foreigners promptly and efficiently. In FY2023, we researched, in particular, three types of machine ...

East China University of Science and Technology, Shanghai, China. Peter Newmark’s Approaches to Translation has been widely used on translator training course and combined a wealth of practical ...

This Japanese-English translation support system has been developed to enhance NHK's international news broadcasting effort. The system helps translators who translate Japanese news into English. When ...

Abstract: One promising aspect of using large language models (LLMs) for translation is their ability to adapt effectively to unseen domains without fine-tuning, through strategic prompting. However, ...