328 Open source projects that are alternatives of or similar to Lac

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中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁 自然语言处理

SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm

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小时候练手的nlp项目

基于深度学习的自然语言处理库

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Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

State of the Art Natural Language Processing

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Python port of SymSpell

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Datasets, SOTA results of every fields of Chinese NLP

中文自然语言处理工具集【断句/分词/词性标注/组块/句法分析/语义分析/NER/N元语法/HMM/代词消解/情感分析/拼写检查】

NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

Berserker - BERt chineSE woRd toKenizER

CKIP CoreNLP Toolkits

Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources

Jcseg is a light weight NLP framework developed with Java. Provide CJK and English segmentation based on MMSEG algorithm, With also keywords extraction, key sentence extraction, summary extraction implemented based on TEXTRANK algorithm. Jcseg had a build-in http server and search modules for the latest lucene,solr,elasticsearch

Juman++ (a Morphological Analyzer Toolkit)

基于 TensorFlow & PaddlePaddle 的通用序列标注算法库（目前包含 BiLSTM+CRF, Stacked-BiLSTM+CRF 和 IDCNN+CRF，更多算法正在持续添加中）实现中文分词（Tokenizer / segmentation）、词性标注（Part Of Speech, POS）和命名实体识别（Named Entity Recognition, NER）等序列标注任务。

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

data resource untuk NLP bahasa indonesia

A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)

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GERBIL - General Entity annotatoR Benchmark

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命名体识别(NER)综述-论文-模型-代码(BiLSTM-CRF/BERT-CRF)-竞赛资源总结-随时更新

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基于BI-LSTM+CRF的中文命名实体识别 Pytorch

The CRF Layer was implemented by using Chainer 2.0. Please see more details here: https://createmomo.github.io/2017/09/12/CRF_Layer_on_the_Top_of_BiLSTM_1/