OpenHowNet

Why we included this project

OpenHowNet wraps the HowNet sememe knowledge base in a Python API, so you can look up a word's senses, pull the sememe-based definition for each one, and render it as a visual sememe tree instead of digging through raw dictionary text. The same library computes word similarity from sememes, which is useful for NLP tasks that need semantic features. The underlying dictionary annotates over 200,000 English and Chinese word senses with roughly 2,000 sememes, so researchers and engineers get a structured, documented resource without hand-building one. It installs cleanly and is easy to query, which makes it a reasonable place to start if you want to experiment with sememe-based semantics.