Awesome-Machine-Learning P4

Natural Language Processing

• Cortical.io - Retina: an API performing complex NLP operations (disambiguation, classification, streaming text filtering, etc...) as quickly and intuitively as the brain.
• IRIS - Cortical.io's FREE NLP, Retina API Analysis Tool (written in JavaFX!) - See the Tutorial Video.
• CoreNLP - Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words.
• Stanford Parser - A natural language parser is a program that works out the grammatical structure of sentences.
• Stanford POS Tagger - A Part-Of-Speech Tagger (POS Tagger).
• Stanford Name Entity Recognizer - Stanford NER is a Java implementation of a Named Entity Recognizer.
• Stanford Word Segmenter - Tokenization of raw text is a standard pre-processing step for many NLP tasks.
• Tregex, Tsurgeon and Semgrex - Tregex is a utility for matching patterns in trees, based on tree relationships and regular expression matches on nodes (the name is short for "tree regular expressions").
• Stanford Phrasal: A Phrase-Based Translation System
• Stanford English Tokenizer - Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java.
• Stanford Tokens Regex - A tokenizer divides text into a sequence of tokens, which roughly correspond to "words".
• Stanford Temporal Tagger - SUTime is a library for recognizing and normalizing time expressions.
• Stanford SPIED - Learning entities from unlabeled text starting with seed sets using patterns in an iterative fashion.
• Stanford Topic Modeling Toolbox - Topic modeling tools to social scientists and others who wish to perform analysis on datasets.
• Twitter Text Java - A Java implementation of Twitter's text processing library.
• MALLET - A Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
• OpenNLP - a machine learning based toolkit for the processing of natural language text.
• LingPipe - A tool kit for processing text using computational linguistics.
• ClearTK - ClearTK provides a framework for developing statistical natural language processing (NLP) components in Java and is built on top of Apache UIMA.
• Apache cTAKES - Apache clinical Text Analysis and Knowledge Extraction System (cTAKES) is an open-source natural language processing system for information extraction from electronic medical record clinical free-text.
• ClearNLP - The ClearNLP project provides software and resources for natural language processing. The project started at the Center for Computational Language and EducAtion Research, and is currently developed by the Center for Language and Information Research at Emory University. This project is under the Apache 2 license.
• CogcompNLP - This project collects a number of core libraries for Natural Language Processing (NLP) developed in the University of Illinois' Cognitive Computation Group, for example illinois-core-utilities which provides a set of NLP-friendly data structures and a number of NLP-related utilities that support writing NLP applications, running experiments, etc, illinois-edison a library for feature extraction from illinois-core-utilities data structures and many other packages.