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QuickAI (pronounced, "quickeye", or just "Quick" for short) is a return to the fundamental goals of creating an artificial intelligence. The priorities are to implement core models of knowledge and knowing, a reasoning engine, and a simple interface.
Provides a GUI interface to grammatical structure and relations (as parsed by the Stanford Parser) of any text.
Contains grammatical relation editor to modify, import, export grammatical relation definitions (tregex patterns and features).
Dataset Retrieval through Intelligent Agents (DARIA): is an Open Source project for facilitating the construction of ARFF data set files for use with WEKA or any such Machine Learning/Data Mining Software through the use of Intelligent Agents.
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Virtual News Reader is a computer desktop application that can convert text (idealy for online news) into Virtual Voice and can be saved on computer. The project is using Java, (JSAPI), FreeTTS (Text-To-Speech synthesis), DJProject, Substance, & other.
TBLTools is a set of GATE processing resources that implements the Fast Transformation Based Learning Algorithm. You can train it to learn rules for NLP tasks such as Named Entity Recognition and Shallow parsing.
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Finite automation,developed by java and it's open source.input the RE,can produce RG,NFA,DFA,MinDFA,Draw the corresponding transition diagram and show the details of transition.
The jTTS project provides a refactored implementation of the FreeTTS software speech synthesizer. Rather than building upon the flite implementation of a TTS engine, it implements engine capabilities from Festival. It also supports British English.
JWNL is a Java API for accessing the WordNet relational dictionary. WordNet is widely used for developing NLP applications, and a Java API such as JWNL will allow developers to more easily use Java for building NLP applications.
T-Rex (Trainable Relation Extraction) is a highly configurable machine learning-based Information Extraction from Text framework, which includes tools for document classification, entity extraction and relation extraction.
NeuroEvolver is a tool for training and experimenting with one particular kind of recurrent neural networks, namely Long Short-Term Memory networks using an evolutionary learning method.
Case Based Reasoning is a technology to make a similarity based selection from a predefined set of cases. Each case is defined by a set of features. After some cases are stored it is possible to perform a search by specifying search feature values.
Meme is a multi-agent system. It aggregates literature information gathered from different sources into a viable format. It provides a visualization search and exports the literature information for users. It also integrates JADE and Nutch.
Inexact is a library developed in Java 5.0 to implements three methods of information fuzzy retrieval: Fuzzy query, Query by example and the two previous methods together. This project uses the fuzzy logic paradigm (Artificial Intelligence).
TOAST (Trust Organisational Agent System Testbed) is a simulation framework used to evaluate and compare different trust models for agents embedded in organisational systems.
Vademecum is a Data Mining suite with a novel help function, semi-automated protocol, consequently modular construction that is also equipped with the most elaborated Data Mining methods.
Joone is a neural net framework written in Java(tm). It's composed by a core engine, a GUI editor and a distributed training environment and can be extended by writing new modules to implement new algorithms or architectures starting from base component
Vehikel is a learning environment for behavior based control of mobile robots. A little bit artificial intelligence based on a domain specific language for the c't Bot.
This Java project creates a testing environment application to analyze an image at its low level features and suggest tags to clasify it using an ontology search based on the tags of similar images.
JOFS is a java project concerning the develop of an owl ontology to store meta informations about files and documents. It will provide a core to easily manage the ontology and an architecture to easily add to the core functionalities.