[INDOLOGY] Artificial Neural Network for Sanskrit programming

[dhaval patel]

Respected scholars,
Recently I have modified one Artificial neural net code for identification
of samAsas in Sanskrit language.
https://github.com/drdhaval2785/SamaasaClassification is the code location.

The results are very encouraging.
Without feeding any rule to the computer, the following is the
classification result

1. Major 5 samAsa types classification - 70%
2. Minor 55 samAsa subtypes classification - 55 %.
3. Major 5 samAsa types classification taking the first two entries - 85 %.

Probability of a fluke would be 1 - 20 %, 2 - 0.2 %, 40 %.

So, the machine learning is statistically significant, if not good enough.


The database which was used was scraped from
http://sanskrit.uohyd.ernet.in/Corpus/SHMT/Samaas-Tagging/ and randomly
shuffled to homogenize the dataset.

The tool was developed for samAsa classification initially, but now
generalized for any string classification problem.

Hope the scholars would like the tool.

For those interested in Artificial neural networks, the link is
http://neuralnetworksanddeeplearning.com/



-- 
Dr. Dhaval Patel, I.A.S
Collector and District Magistrate, Anand
www.sanskritworld.in


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