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A text to speech converter which will be able to read any document(Presently it is reading text and .doc files).The main aim of the project is to make reading an interesting task and assist BLIND people.
Scan, the Semantic Content ANnotator, is a semantic pipeline that helps connecting information extraction tools to semantic database. UIMA-based, it allows easy plugin-writing: information extraction, ontology control, store in RDF Repositories.
ERepSim presents an agent-based cloud simulation environment integrating electronic institutions from multiagent research to simulate Internet-of-Services systems.
The aim of the project is to provide a testing tool that would reduce the cost associated with the regression testing process. The tool provides test case subset selection so that the user need not run the redundant test cases.
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OO jDREW is an open source deductive reasoning engine for the RuleML web rule language. OO jDREW implements the object oriented extensions to RuleML which include: Order Sorted Types, Slots, and Object identifiers.
ECSKernel is a multiagent coordination algorithm testbed, built on the RoboCupRescue disaster simulation platform. It is easily configurable and can be used with user-generated scenarios.
WSMO Studio is a Semantic Web Service and Semantic Business Process modelling environment based on the Web Services Modelling Ontology (WSMO). WSMO Studio is available as a set of Eclipse plug-ins that can be extended and customised by 3rd parties.
NaturalOWL generates descriptions of individuals and classes from OWL ontologies that have been annotated with linguistic and user modeling resources expressed in RDF. Currently it supports English and Greek. NaturalOWL can be used as a Protégé plugin.
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This project aims to develop a parser for Finnish. The parser and the system of grammatical competence assumed herein, are based on the minimalist theory of grammar (Chomsky 1995, 2005) and Bare Lexicon Hypothesis (Brattico, in prep).
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.
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.
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.
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.
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.