Abstract: High-quality neural machine translation (NMT) systems rely on the availability of large-scale and reliable parallel data. Since Myanmar language is a low-resource language, the parallel ...

We describe a semi-automatic process of acquisition of machine translation knowledge from Japanese-Chinese parallel corpora. The process consists of the following three parts. The first part is ...

Thanks to additional training, he better defines the relationships within and between sentences. In addition, the quality of translation of articles on narrowly focused topics has increased. For ...

This repository contains the code and data for our paper "What do large language models need for machine translation evaluation?", which will be presented at the 2024 Conference on Empirical Methods ...

Translation tools are also important for professionals in the field who rely on the latest machine learning translation technologies to use in their everyday lives. Before we dive into the best AI ...

Sequence-to-Sequence Neural Machine Translation with Attention Mechanisms (Dot, General, Concat) using TensorFlow and GloVe. Includes BLEU evaluation and attention visualization.