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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>
...
PLAtypus's goal is to give people with poor communications skills an opportunity to learn and improve. With the guidance of a tutor, people will be able to learn new signs, sounds or icons and associate them with real life concepts that will, hopefully, help them to better express they needs.
pyDATR is an implementation of the DATR language written in Python and usable as Python library. It provides a means for persistence and some extensability with Python functions.
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This project presents a functional prototype of a new kind of file manager, where the data is auto organized using the semantic content.
The Souvenirs system propose a new complete interface for the user and pretend to remplace the "desktop" paradigm.