Unwritten Languages Demand Attention Too! Word Discovery with Encoder-Decoder Models
Table 4: Comparison between the NB model (dpseg) and the reverse model with alignment smoothing (AS) for unsupervised word discovery. The scores were obtained by averaging over three instances of each model.
['[EMPTY]', '[BOLD] Recall', '[BOLD] Precision', '[BOLD] F-score', '[ITALIC] σ']
Although the former is able to retrieve more from the vocabulary, the latter has higher precision, and both are close in terms of F-score. Additionally, ours has the advantage of providing clues for translation.