Applying known RNN and transfer-learning methods to English-Igbo yields modest BLEU scores, but the claimed +4.83 BLEU improvement over baselines is inconsistent with the paper's own tables.
Pressure robust SUPG-stabilized finite elements for the unsteady Navier-Stokes equation
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abstract
In the present contribution we propose a novel conforming Finite Element scheme for the time-dependent Navier-Stokes equation, which is proven to be both convection quasi-robust and pressure robust. The method is built combining a "divergence-free" velocity/pressure couple (such as the Scott-Vogelius element), a Discontinuous Galerkin in time approximation, and a suitable SUPG-curl stabilization. A set of numerical tests, in accordance with the theoretical results, is included.
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Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo
Applying known RNN and transfer-learning methods to English-Igbo yields modest BLEU scores, but the claimed +4.83 BLEU improvement over baselines is inconsistent with the paper's own tables.