Question: How does proposed word embeddings compare to Sindhi fastText word representations?
Answer: Proposed SG model vs SINDHI FASTTEXT:
Average cosine similarity score: 0.650 vs 0.388
Average semantic relatedness similarity score between countries and their capitals: 0.663 vs 0.391