researchers trained ERNIE on a new version of masking that hides strings of characters rather than single ones. They also trained it to distinguish between meaningful and random strings so it could mask the right character combinations accordingly. As a result, ERNIE has a greater grasp of how words encode information in Chinese and is much more accurate at predicting the missing pieces. This proves useful for applications like translation and information retrieval from a text document.
