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AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text. It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation, sentence deconstruction and semantic analysis.
CoPT, Corpus Processing Tools, is a set of java classes intended to assist field linguists, NLP researchers and developers, students and software developers in all corpus-related processing.
The nlpFarm is a Natural Language Processing (NLP) resource where early research prototypes (Java) can evolve into robust and useful open source. Our farmstead collaborates under the OpenNLP initiative, in order to make NLP software publically available.
uNLPBot is a chatter bot based on Natural Language Processing theory, able to parse small but representative subsets of english natural language and to produce english sentences compliant to english grammar and related to conversation threads.
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The Aikernel is an intelligence server and cell runtime environment that uses natural language processing and other pattern matching with Activators, Contexts, Concepts to allow multi tasking between installed cells.
Grok is a library of natural language processing components, including support for parsing with categorial grammars and various preprocessing tasks such as part-of-speech tagging, sentence detection, and tokenization.
WhiteBeer is a new programming paradigm that is motivated by Noam Chomsky's Minimalist Program. It uses feature checking mechanism to parse programs so that it can provide word-order-independence like natural language processing.
Metafrastes is a natural language processing system that can take an input query from the user and translate that internally in order to communicate with a knowledge base in the form of an ontology.
NXTAI's main objective is to create a new generation of natural language processing program by using a unique neural networking model. To demonstrate the algorithm works, A chatbot will be developed as a classical example of how it can be used.
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This project aims at creating rationally thinking agents. The agent gather information through command line or network and stores it in its memory. It uses Stanford's NLP library to understand the language statements.
The OBO-Annotator is a semantic NLP tool that is designed to give its end-users a great deal of flexibility to combine any number of OBO ontologies from the OBO foundry regardless of their format and use them to annotate text-bases.