Atbrox Customer Case Study – Scalable Language Processing with Elastic Mapreduce (Hadoop)

2 Responses to Atbrox Customer Case Study – Scalable Language Processing with Elastic Mapreduce (Hadoop)

1. Øystein Nytrø says:

   November 16, 2009 at 21:15

   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.
2. amund says:

   November 23, 2009 at 21:38

   the scope of this project was the creation of n-gram and not the processing afterwards (except some filtering).