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 ...

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, ...

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 ...

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 ...

3D rendering of gender symbols. We’re excited to announce that, as of today, masculine and feminine alternative translations are available for when translating from English to Spanish, French, or ...

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Katrina Ávila Munichiello is an ...

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, ...

Welcome to the Bulletproof Code (BPC) translation example repository. This repository provides sample translation projects for the TRACTOR proposal team to review. Each top-level directory represents ...

After its entry into the World Trade Organization (WTO), China has opened wider to the outside world. As a result, a growing number of foreign cosmetic companies have expanded their presence in China.