# hemingkx/WordSeg

<https://repo.masters-masters.com/en/repos/hemingkx/WordSeg>

[Home](https://repo.masters-masters.com/en) › [hemingkx](https://repo.masters-masters.com/en/owners/hemingkx) › [WordSeg](https://repo.masters-masters.com/en/repos/hemingkx/WordSeg)

hemingkx/WordSeg has 213 stars on GitHub. Its RepoMasters card: Prototype tier. A PyTorch implementation of a BiLSTM \\ BERT \\ Roberta (+ BiLSTM + CRF) model…

| Field | Value |
| --- | --- |
| Owner | [hemingkx](https://repo.masters-masters.com/en/owners/hemingkx) |
| Stars | 213 |
| Forks | 42 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Topics | bert, pytorch, roberta, chinese-word-segmentation, bilstm-crf, bert-crf |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hemingkx/WordSeg](https://github.com/hemingkx/WordSeg) |

## Repository

A PyTorch implementation of a BiLSTM \\ BERT \\ Roberta (+ BiLSTM + CRF) model for Chinese Word Segmentation (中文分词) .

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
