This is a test of an initial port of KnowledgeBooks Natural Language Processing (NLP) code to Haskell

This system attempts to resolve entity references to Wikipedia/DBPedia subject URIs.

Enter plain text (no special characters):




Note: if you don't see any results the cause is special characters (e.g., fancy quotes and other unicode characters) in the input text.

Summary of text:

Category results from combined 1gram and 2gram analysis:

Human names found in text:

Country names found in text:

City names found in text:

Company names found in text:

Braodcast network names found in text:

Music group names found in text:

Political party names found in text:

Trade union names found in text:

University names found in text:

Summary of text, with scoring:



Compared to previous versions written in Common Lisp, Scheme, Java, and Clojure the code is very compact. The current code size is:

Copyright 2014 Mark Watson.