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The Top 10 Part Of Speech Tagger Open Source Projects

Open source projects categorized as Part Of Speech Tagger

Categories > Machine Learning > Part Of Speech Tagger

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baidu/lac ⭐ 3,644

百度NLP：分词，词性标注，命名实体识别，词重要性

dependent packages 0 total releases 0 most recent commit about 5 years ago

JohnSnowLabs/spark-nlp ⭐ 3,578

State of the Art Natural Language Processing

dependent packages 0 total releases 0 most recent commit over 2 years ago

hankcs/pyhanlp ⭐ 3,036

中文分词

dependent packages 0 total releases 0 most recent commit over 2 years ago

jiesutd/NCRFpp ⭐ 1,862

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

dependent packages 0 total releases 0 most recent commit almost 4 years ago

atilika/kuromoji ⭐ 688

Kuromoji is a self-contained and very easy to use Japanese morphological analyzer designed for search

dependent packages 0 total releases 0 most recent commit over 6 years ago

mhbashari/awesome-persian-nlp-ir ⭐ 658

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

dependent packages 0 total releases 0 most recent commit over 2 years ago

adobe/NLP-Cube ⭐ 521

Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

dependent packages 0 total releases 0 most recent commit almost 3 years ago

Droidtown/ArticutAPI ⭐ 402

API of Articut 中文斷詞 (兼具語意詞性標記)：「斷詞」又稱「分詞」，是中文資訊處理的基礎。Articut 不用機器學習，不需資料模型，只用現代白話中文語法規則，即能達到 SIGHAN 2005 F1-measure 94% 以上，Recall 96% 以上的成績。

dependent packages 0 total releases 0 most recent commit over 2 years ago

ku-nlp/jumanpp ⭐ 334

Juman++ (a Morphological Analyzer Toolkit)

dependent packages 0 total releases 0 most recent commit about 3 years ago

Nealcly/BiLSTM-LAN ⭐ 243

Hierarchically-Refined Label Attention Network for Sequence Labeling

dependent packages 0 total releases 0 most recent commit about 5 years ago

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