The following year, Google released bidirectional encoder representations from transformers ... encoder and decoder components in a model and during translation. For example, it allows the ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture ... known for its “robust multilingual capability”, was used as the encoder-decoder example, ...

This architecture was initially designed for machine translation tasks, where the encoder processes the input sentence in the source language, and the decoder generates the corresponding sentence in ...

For example ... ability of transformers to handle data sequences without the need for sequential processing makes them extremely effective for various NLP tasks, including translation, text ...

The transformer architecture has emerged as the predominant framework for deep learning, playing a pivotal role in the remarkable achievements of large language models like ChatGPT. Despite its ...

After adopting our method, the translation accuracy is obviously improved, especially in the short sentences. In addition, examples and analysis show ... high-quality multimodal representation of ...