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>
<version>0.5.1</version>
</dependency>
Features
- First and second order projective and non projective parsing
- Perceptron and k-best MIRA training
- Edge-wise confidence estimation (as of v0.5.0)
License
Apache License V2.0Follow MSTParser
Other Useful Business Software
Passwordless Authentication and Passwordless Security
It’s no secret — passwords can be a real headache, both for the people who use them and the people who manage them. Over time, we’ve created hundreds of passwords, it’s easy to lose track of them and they’re easily compromised. Fortunately, passwordless authentication is becoming a feasible reality for many businesses. Duo can help you get there.
Rate This Project
Login To Rate This Project
User Reviews
-
You can give me how to run MST Parser to generate k-best trees for one sentence (not the best tree as default). Many thanks!
-
Works well for me. Will use it again in the future.
-
A great application that is true to its promise. Thank you very much.