JackHCC / Chinese-Tokenization

利用传统方法（N-gram，HMM等）、神经网络方法（CNN，LSTM等）和预训练方法（Bert等）的中文分词任务实现【The word segmentation task is realized by using traditional methods (n-gram, HMM, etc.), neural network methods (CNN, LSTM, etc.) and pre training methods (Bert, etc.)】

Date Created 2022-04-05 (2 years ago)

Commits 4 (last one 2 years ago)

Stargazers 31 (0 this week)

Watchers 1 (0 this week)

Forks 4

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RepositoryStats indexes 535,551 repositories, of these JackHCC/Chinese-Tokenization is ranked #513,227 (4th percentile) for total stargazers, and #497,874 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #98,615/103,734.

JackHCC/Chinese-Tokenization is also tagged with popular topics, for these it's ranked: nlp (#2,201/2264)

All Topics

nlp ngram bert-crf bilstm-crf tokenization hmm-viterbi-algorithm

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4 commits on the default branch (master) since jan '22

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updated: 2024-05-29 @ 11:29am, id: 478141800 / R_kgDOHH_daA