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Date: Fri, 16 Oct 2015 05:47:00 -0700 (PDT)
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Subject: Natural Language Processing with ADA 2012
From: matteogrella@gmail.com
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Hello,

I'm glad to inform you that at the GitHub links below, you'll find ADA 2012=
 used for Natural Language Processing and more in general for Artificial In=
telligence / Machine Learning.

https://github.com/matteo-grella/mg-research/tree/master/ADADP

ADA Dependency Parser (ADADP).
ADADP is a very basic multilingual statistical dependency parser written in=
 pure ADA that I use to experiment some ideas.  It is based on a shift-redu=
ce transition-based system that produces dependency parse trees for natural=
 language sentences using parsing model learned from annotated corpora.

https://github.com/MGMN/NLPColl/tree/master/DeepParser

NLPColl Deep Parser.
NLPColl Deep Parser is a dependency parser written in Ada 2012 that use Dee=
p Learning / Word Embedding algorithms.  This project derives from Stanford=
 CoreNLP tools (see https://github.com/stanfordnlp/CoreNLP).

https://github.com/MGMN/ada-relax-component-collection/tree/master/src/arco=
ll/machine_learning

ADA 2012 implementations of Multi-layer Perceptron and Averaged Perceptron.

Best regards,

Matteo Grella
http://www.matteogrella.com