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LANGANA-E is an English natural language parser. It is the main structure that automatic understanding will be built upon. Automatic understanding can be used for answering questions automatically or finding an answer from a reference text archive.
We are now on GitHub: https://github.com/ScadaBR/ScadaBR
ScadaBR is a SCADA (Supervisory Control and Data Acquisition) system with applications in Process Control and Automation, being developed and distributed using the open source model.
MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
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MSTParser is a non-projective dependency parser that searches for maxi
MSTParser is a non-projective dependency parser that searches for maximum spanning trees over directed graphs. Models of dependency structure are based on large-margin discriminative training methods. Projective parsing is also supported.
mstparser 0.5.1 is now available via Maven Central. If you use Maven as your build tool, then you can add it as a dependency in your pom.xml file:
<dependency>
<groupId>net.sourceforge.mstparser</groupId>
<artifactId>mstparser</artifactId>
...
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).
Development of a prototype software module for CV's management. Module will be integrated within an existing application for human resources' management. Technologies: based on mvc, java, struts, jsp, struts:layout
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This site is intended as a location containing a suite of tools to (1) Aid in the design of db APIs to be utilized in a J2EE environment and (2) generate stubs for the db API, Java classes and SQL DDL necessary to support the MVC pattern and the Data Own