Training a Bilingual Language Model by Mapping Tokens onto a Shared Character Space | HackerNoon
A bilingual Arabic-Hebrew language model using transliteration shows promising effectiveness, outperforming Arabic-only script models despite a smaller training dataset.
Where does In-context Translation Happen in Large Language Models: Data and Settings | HackerNoon
Multilingual language models vary in performance based on training datasets and architectural designs, influencing their translation capabilities across languages.
How Transliteration Enhances Machine Translation: The HeArBERT Approach | HackerNoon
HeArBERT aims to enhance Arabic-Hebrew machine translation through shared script normalization.
Where does In-context Translation Happen in Large Language Models: Data and Settings | HackerNoon
Multilingual language models vary in performance based on training datasets and architectural designs, influencing their translation capabilities across languages.
How Transliteration Enhances Machine Translation: The HeArBERT Approach | HackerNoon
HeArBERT aims to enhance Arabic-Hebrew machine translation through shared script normalization.
Where does In-context Translation Happen in Large Language Models: Where does In-context MT happen? | HackerNoon
In-context learning requires identifying the task from context before execution, highlighting the transition of models from learning to translation.
Was Linguistic A.I. Created by Accident?
The team at Google developed a groundbreaking transformer architecture that revolutionized machine translation and opened new avenues in AI applications.