Unsupervised Morphological Expansion of Small Datasets for Improving Word Embeddings
Table 9: Tranined on 1B tokens(English) - Comparison between different systems after Morph step (Spearman ρ). Note that the scores on WS and RG are unchanged because the frequencies of all the words are above the threshold
['[BOLD] System', '[BOLD] RW', '[BOLD] WS', '[BOLD] RG']
We observe that the accuracy of SG + Exp + Morph > SG + 2-Exp + This happens because of decrease in analogical regularities as more artificial sentences are introduced.