Improving Cross-Lingual Word Embeddings by Meeting in the Middle
Table 1: Bilingual dictionary induction results. Precision at k (P@K) performance for Spanish (ES), Italian (IT), German (DE) and Finnish (FI), using English (EN) as source language.
['Model', '[BOLD] EN-ES  [ITALIC] P@1', '[BOLD] EN-ES  [ITALIC] P@5', '[BOLD] EN-ES  [ITALIC] P@10', '[BOLD] EN-IT  [ITALIC] P@1', '[BOLD] EN-IT  [ITALIC] P@5', '[BOLD] EN-IT  [ITALIC] P@10', '[BOLD] EN-DE  [ITALIC] P@1', '[BOLD] EN-DE  [ITALIC] P@5', '[BOLD] EN-DE  [ITALIC] P@10', '[BOLD] EN-FI  [ITALIC] P@1', '[BOLD] EN-FI  [ITALIC] P@5', '[BOLD] EN-FI  [ITALIC] P@10']
The higher scores indicate that the two monolingual embedding spaces become more tightly integrated because of our additional transformation. It is worth highlighting here the case of English-Finnish, where the gains obtained in P@5 and P@10 are considerable. This might indicate that our approach is especially useful for morphologically richer languages such as Finnish, where the limitations of the previous bilingual mappings are most apparent.