We developed a tool for scalable language processing for our customer Lingit using Amazon’s Elastic Mapreduce.
More details: http://aws.amazon.com/solutions/case-studies/atbrox/
Contact us if you need help with Hadoop/Elastic Mapreduce.
We developed a tool for scalable language processing for our customer Lingit using Amazon’s Elastic Mapreduce.
More details: http://aws.amazon.com/solutions/case-studies/atbrox/
Contact us if you need help with Hadoop/Elastic Mapreduce.
Referring to the customer case, I would guess that n-gram postprocessing and subsequent model-building are the most complex, and depending on n, computationally intensive tasks. Was that
done locally afterwards, or did you manage to distribute that also?
— Øystein N.
the scope of this project was the creation of n-gram and not the processing afterwards (except some filtering).