koth/kcws
A Chinese word segmentation system using deep learning models BiLSTM+CRF and IDCNN+CRF.
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This is a Chinese word segmentation tool built with deep learning techniques. It implements BiLSTM+CRF and IDCNN+CRF models for sequence labeling tasks in NLP. The system uses TensorFlow for training and inference, incorporating word embeddings via Word2Vec. It supports training custom models on Chinese text corpora and provides a backend API for segmentation services.
Frequently asked
- What is koth/kcws?
- A Chinese word segmentation system using deep learning models BiLSTM+CRF and IDCNN+CRF.
- Is kcws open source?
- Yes — koth/kcws is an open-source project tracked on heatdrop.
- What language is kcws written in?
- koth/kcws is primarily written in C++.
- How popular is kcws?
- koth/kcws has 2.1k stars on GitHub.
- Where can I find kcws?
- koth/kcws is on GitHub at https://github.com/koth/kcws.