Sentence examples for parallel dataset from inspiring English sources

To compare the accuracy of the architecture with other statistical approaches, an SMT-like normalization system is implemented, trained, and evaluated with an identical parallel dataset.

The result is a three-way parallel dataset of Egyptian Arabic Speech, transcriptions and English translations.

It produces a parallel dataset that should be consistent with the main dataset; if it is not, recall bias must be suspected.

The result is a four-way parallel dataset of Spanish audio, transcriptions, ASR lattices, and English translations of approximately 38 hours of speech, with defined training, development, and held-out test sets.

Then, the level of WB and SWB signals was normalized to −26 dBov, and the WB feature vectors F X and the HF sub-band RSM values F Y were extracted from the parallel dataset.

We also constructed a parallel dataset computing divergence of the chimpanzee SDs from human WGS sequences (see Additional file 2).

The OptiX ray tracing framework and CUDPP library are used for geometry representation and parallel dataset-side operations, ensuring high performance and reliability.

Parallel analysis works by generating many random parallel datasets, with the same number of variables and cases as the sample dataset; each of these parallel datasets, which are filled with independent randomly generated data, is analyzed using principal component analysis.

The mean eigenvalues of the factors extracted from the random parallel datasets are compared to the samples' eigenvalues.

We compare these parallel datasets, putting special emphasis on a 4 MB interval around the functional mutation where we have validated the discovered variants using lower throughput Sanger re-sequencing.

The same analyses were applied on parallel datasets generated from Stanford cDNA Arrays and Agilent Human Whole Genome Arrays.