There are 36 repositories under nlp-library topic.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
An Open-Source Framework for Prompt-Learning.
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Awesome-pytorch-list 翻译工作进行中......
Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
Underthesea - Vietnamese NLP Toolkit
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.
skweak: A software toolkit for weak supervision applied to NLP tasks
Kuromoji is a self-contained and very easy to use Japanese morphological analyzer designed for search
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
A Japanese Tokenizer for Business
Homer, a text analyser in Python, can help make your text more clear, simple and useful for your readers.
Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).
The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).
Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
Python version of Sudachi, a Japanese tokenizer.
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
chatbot_ner: Named Entity Recognition for chatbots.
A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
A curated list of resources dedicated to Python libraries, pre-trained models, dictionaries, and corpora of NLP for Japanese
An NLP library for the Urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible.