Part Of Speech Tagger Python Packages

spark-nlp

State of the Art Natural Language Processing

someweta

A part-of-speech tagger with support for domain adaptation and external resources.

articutapi

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。

pyhanlp

中文分词

lac

百度NLP：分词，词性标注，命名实体识别，词重要性

nlpcube

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

seq2annotation

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。

gr-nlp-toolkit

The Greek NLP toolkit for Python. Supports NER/DP/POS Tagging/Greeklish-to-Greek Transliteration. Visit the web demo here: https://huggingface.co/spaces/AUEB-NLP/greek-nlp-toolkit-demo (paper presented at COLING 2025)

hebpipe

An NLP pipeline for Hebrew

arabicnlp

Python package for Arabic natural language processing

pynlp

A pythonic wrapper for Stanford CoreNLP.

ipa-core

NLP Preprocessing Pipeline Wrappers

spacy-thrift

spaCy as a service using Thrift

persian-phonemizer

A tool for translating Persian text to IPA (International Phonetic Alphabet).

rakutenma

Rakuten MA (Python version)

spacy-http

spaCy as a HTTP service

textblob-ar-mk

Arabic support for textblob

s2a-nightly

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。

iparser

Yet another dependency parser, integrated with tokenizer, tagger and visualization tool.

yyhanlp

中文分词

ncrfpp2

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.

ncrfpp

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.