Part of the CKIP Lab's series of compact Chinese language models. This tiny ALBERT variant is fine-tuned for word segmentation (and more broadly token classification) on traditional Chinese text. It offers a good accuracy/size trade-off for resource-constrained environments and is distributed under GPL-3.0.
Albert Tiny Chinese Ws is an Other AI product. It focuses on performing accurate word segmentation on traditional Chinese text using a compact model. It is built as an open-source project for developers. Albert Tiny Chinese Ws is open source under the GPL-3.0 license. It runs on the web and API.
Behind Albert Tiny Chinese Ws is CKIP Lab, and the product first shipped in 2020. Development happens publicly on GitHub with 768 stars. Key capabilities include word segmentation, token classification, and chinese language.
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