| hankcs/HanLP |
31,375 |
|
238 |
22 |
about 2 years ago |
43 |
February 25, 2023 |
10 |
apache-2.0 |
Python |
| 中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理 |
| explosion/spaCy |
28,084 |
|
1,533 |
1,367 |
about 2 years ago |
226 |
October 16, 2023 |
103 |
mit |
Python |
| 💫 Industrial-strength Natural Language Processing (NLP) in Python |
| sebastianruder/NLP-progress |
22,082 |
|
0 |
0 |
over 2 years ago |
0 |
|
52 |
mit |
Python |
| Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks. |
| flairNLP/flair |
13,369 |
|
24 |
69 |
about 2 years ago |
31 |
October 28, 2023 |
65 |
other |
Python |
| A very simple framework for state-of-the-art Natural Language Processing (NLP) |
| spencermountain/compromise |
11,088 |
|
163 |
145 |
about 2 years ago |
161 |
November 16, 2023 |
98 |
mit |
JavaScript |
| modest natural-language processing |
| stanfordnlp/CoreNLP |
9,315 |
|
0 |
0 |
about 2 years ago |
1 |
March 03, 2021 |
179 |
gpl-3.0 |
Java |
| CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc. |
| deeppavlov/DeepPavlov |
6,966 |
|
4 |
2 |
8 months ago |
57 |
October 17, 2023 |
42 |
apache-2.0 |
Python |
| An open source library for deep learning end-to-end dialog systems and chatbots. |
| stanfordnlp/stanza |
6,931 |
|
2 |
91 |
about 2 years ago |
22 |
December 03, 2023 |
83 |
other |
Python |
| Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages |
| macanv/BERT-BiLSTM-CRF-NER |
4,414 |
|
1 |
0 |
about 5 years ago |
9 |
March 04, 2019 |
118 |
|
Python |
| Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services |
| ThilinaRajapakse/simpletransformers |
3,883 |
|
2 |
27 |
over 2 years ago |
282 |
August 07, 2023 |
77 |
apache-2.0 |
Python |
| Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI |