State of the Art Natural Language Processing

百度NLP：分词，词性标注，命名实体识别，词重要性

中文分词

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.

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

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

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

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。

Juman++ (a Morphological Analyzer Toolkit)

Hierarchically-Refined Label Attention Network for Sequence Labeling

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

package lingo provides the data structures and algorithms required for natural language processing

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

Python tutorials as Jupyter Notebooks for NLP, ML, AI

A fast and accurate POS and morphological tagging toolkit (EACL 2014)

Qutuf (قُطُوْف): An Arabic Morphological analyzer and Part-Of-Speech tagger as an Expert System.

Stanford CoreNLP in idiomatic Clojure.

A pythonic wrapper for Stanford CoreNLP.

Japanese morphological analyzer on .NET