This document discusses various natural language processing (NLP) tools that can be used from .NET, including SharpNLP, Stanford NLP for .NET, IKVM.NET, OpenNLP for .NET, and MaltParser for .NET. It provides links to pages with code samples and tutorials for tools like Stanford NLP.NET, which implements popular NLP libraries like the Stanford Named Entity Recognizer and Part-of-Speech Tagger for .NET. It also demonstrates how NLP can be used to find related questions on Stack Overflow before a user posts a new question.

1. How to NLProc from .NET
@sergey_tihon for nlproc.by

2. What we had?

3. SharpNLP

4. http://nlpdotnet.com/

5. Stanford NLP for .NET

6. http://nlp.stanford.edu/

7. What is IKVM.NET?
IKVM.NET is an implementation of Java
for Mono and the Microsoft .NET Framework.
It includes the following components:
• A Java Virtual Machine implemented in
.NET
• A .NET implementation of the Java class
libraries
• Tools that enable Java and .NET
interoperability

8. IKVM.NET - JVM on top of .NET

9. Stanford NLP Software for .NET
http://sergey-tihon.github.io/Stanford.NLP.NET/

10. NuGet packages download statistics

11. Stanford Named Entity Recognizer

12. Stanford Part-Of-Speech Tagger

13. Stanford Parser

14. Demo

15. Stanford.NLP.Fsharp
http://sergey-tihon.github.io/Stanford.NLP.Fsharp/

16. SO questions understanding
Sample NLP task:
We want to show related questions before user asks a
new one (as it works on StackOverflow).
Sample question:
• How to make an F# project work with the object
browser
• How can I build WebSharper on Mono 3.0 on Mac?
• Adding extra methods as type extensions in F#
• How to get MonoDevelop to compile F# projects?
http://sergey-tihon.github.io/Stanford.NLP.Fsharp/so_questions.html

17. SO questions understanding

18. SO questions understanding

19. Demo

20. Other tools

21. OpenNLP for .NET
https://github.com/sergey-tihon/OpenNLP.NET

22. MaltParser for .NET
http://sergey-tihon.github.io/MaltParser.NET/

23. MSR SPLAT

24. MSR SPLAT

25. MSR SPLAT: Cloud Demo

26. MSR SPLAT: Code Samples
https://sergeytihon.wordpress.com/2013/09/01/msr-splat-overview-for-f/

27. Thank you!
Questions?
@sergey_tihon