High performance natural language processing services on the GARUDA grid

Cognitive Intelligence

“…We have designed a visualizer, named Vishit, for visualizing texts in the Hindi language used in many states of India (Jain et al 2013(Jain et al , 2014. Finally, we have also carried out work on the parallel/distributed implementations of natural language processing systems on high performance computing platforms, such as multicore grid, cluster platforms Hadoop (Tomar et al 2013a(Tomar et al , 2013b(Tomar et al , 2014.…”

File model approach to optimize the performance of Tree Adjoining Grammar based Machine Translation

“…Another Experiment have been carried out sentence level parallelization and its parallel implementations on a multicore machine with varying number of cores and a computing cluster with multi-core nodes using Message Passing Interface [14]. Some other Experiments carried out parallelization on the GARUDA grid by [15] where MT application has been port on Garuda by using MPI framework for achieving speedup and improving performance of System. Fundamental difference of approach is that, these work [7] tries to collect corpora from world wide web, some other work require to port MT application in different environment by [1], [15]and [16] i.e.…”

“…Some other Experiments carried out parallelization on the GARUDA grid by [15] where MT application has been port on Garuda by using MPI framework for achieving speedup and improving performance of System. Fundamental difference of approach is that, these work [7] tries to collect corpora from world wide web, some other work require to port MT application in different environment by [1], [15]and [16] i.e. Grid, cloud or distributed computing while our work focus to make better use of existing resources within same environment.…”