Increasing the throughput of machine translation systems using clouds
Table 7: The final results for RBMT system (Apertium): the throughput is linear to the number of the nodes in the cluster (nmax=16) providing there is enough data to translate (20,000,000 words).
['Words', 'Sent.', 'System', 'Real time', 'Nodes', 'Words/s']
The service architecture was discarded for the simpler architecture with larger shards of input data (20,000 words). The throughput of the translation system is almost linear to the number of nodes in the cluster. The break even point for the new setting is 4 nodes, meaning the MapReduce installation is faster with only four nodes and the throughput increases almost linearly to 16 which was the maximum number of nodes used in our experiment.