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koth avatar

koth/kcws

0
View on GitHub↗
2,070 stars·632 forks·C++·1 view

Kcws

Deep Learning Chinese Word Segment

Features

  • Word Segmentation Tools - Segmentation using BiLSTM+CRF and IDCNN+CRF architectures.

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Open-source alternatives to Kcws

Similar open-source projects, ranked by how many features they share with Kcws.
  • duanhongyi/geniusduanhongyi avatar

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    a chinese segment base on crf

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  • fangpenlin/losofangpenlin avatar

    fangpenlin/loso

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    Chinese segmentation library

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  • fxsjy/jiebafxsjy avatar

    fxsjy/jieba

    35,027View on GitHub↗

    This project is a Chinese text segmentation library and tokenizer designed to split Chinese sentences into individual words. It serves as a natural language processing tool for splitting characters into words, tagging parts of speech, and extracting keywords using statistical analysis. The library distinguishes itself through support for custom dictionary configuration and vocabulary file management, allowing users to override default segmentation rules for domain-specific accuracy. It also includes a TF-IDF keyword extractor to identify significant words and core topics within documents. Th

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    View on GitHub↗35,027
  • go-ego/gsego-ego avatar

    go-ego/gse

    2,832View on GitHub↗

    Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others.

    Go
    View on GitHub↗2,832
See all 8 alternatives to Kcws→

Frequently asked questions

What does koth/kcws do?

Deep Learning Chinese Word Segment

What are the main features of koth/kcws?

The main features of koth/kcws are: Word Segmentation Tools.

What are some open-source alternatives to koth/kcws?

Open-source alternatives to koth/kcws include: duanhongyi/genius — a chinese segment base on crf. fangpenlin/loso — Chinese segmentation library. fxsjy/jieba — This project is a Chinese text segmentation library and tokenizer designed to split Chinese sentences into individual… go-ego/gse — Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others. hankcs/id-cnn-cws. jannson/yaha.