Meta’s AI researchers use machine learning (ML) data to create the aural translation system, including data gathering, model design, and evaluation. Meta is releasing its integrated ML Hokkien translation data and research papers as open resources, enabling AI developers to create UST projects which cover more languages. In the process, Meta AI developers use a pre-trained speech encoder that aligns unwritten Hokkien speech data to similar English text, enabling an ML system to translate Hokkien based on pre-existing language data. Meta notes that its translation system is a work in progress and can only translate one sentence at a time. Should Meta integrate its real-time translation systems into a Metaverse platform like Horizons, it could allow users to chat with individuals worldwide with lower language barriers.

Source: Libya Today October 21, 2022 11:58 UTC