Neurals Networks for Projecting Named Entities from English to Ewondo
Table 1: English to Ewondo projection result summary
['[BOLD] id', '[BOLD] h1-size', '[BOLD] h2-size', '[BOLD] Epoch', '[ITALIC] k', '[ITALIC] r', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1-score']
When the number of neurons per layer is at least 100, and the quotient of the layer sizes is at around 0.8, the model can get performance similar the baseline. Finally, when the number of neurons per layer is around 1000, the neural network tends to produces performances that are slightly better than the base line.