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TranslatedChinese word segmentation, part-of-speech tagging, named entity recognition, dependency parsing, constituency parsing, semantic dependency parsing, semantic role labeling, coreference resolution, style transfer, semantic similarity, new word discovery, keyword and keyphrase extraction, automatic summarization, text classification and clustering, pinyin and Simplified/Traditional Chinese conversion, natural language processing
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Offline, privacy-first grammar checker. Fast, open-source, Rust-powered
Topic Modelling for Humans
Style and Grammar Checker for 25+ Languages
NLTK Source
A very simple framework for state-of-the-art Natural Language Processing (NLP)
modest natural-language processing
Unsupervised text tokenizer for Neural Network-based text generation.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
general natural language facilities for node
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Open-source offline translation library written in Python
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
Natural language detection
State of the Art Natural Language Processing
Module for automatic summarization of text documents and HTML pages.
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
Chronic is a pure Ruby natural language date parser.