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 ...

Learn how currency translation converts foreign subsidiaries' financial results into a parent company's main currency, ...

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, ...

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 ...

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, ...

run_translation.py is a lightweight examples of how to download and preprocess a dataset from the 🤗 Datasets library or use your own files (jsonlines or csv), then ...

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 ...

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.