Translating lost languages using machine learning
Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) recently made major development in translating lost languages using machine learning: a new system that has been shown to be able to automatically decipher a lost language, without needing advanced knowledge of its relation to other languages. They also showed that their system can itself determine relationships between languages, and they used it to corroborate recent scholarship suggesting that the language of Iberian is not actually related to Basque. The team’s ultimate goal is for the system to be able to decipher lost languages that have eluded linguists for decades, using just a few thousand words.
With the new system, the relationship between languages is inferred by the algorithm. The proposed algorithm can assess the proximity between two languages; in fact, when tested on known languages, it can even accurately identify language families.
Read More: https://news.mit.edu/2020/translating-lost-languages-using-machine-learning-1021