Logograms resemble vector quantization
Logograms are symbols rich in meaning used predominantly in East Asian languages (e.g. Chinese, Japanese). They are self-contained discrete tokens which can take on many meanings, and are composable in surprising ways. In this, logograms resemble vector quantization in machine learning, in that they’re self-contained, rich in information, and composable based on context.