Word Embeddings from Scratch

Generated and evaluated word embeddings with pre-trained GloVe and Word2Vec embeddings and performed cross-lingual alignment of English and Hindi embedding using Procrustes. Also, analyzed the race and gender bias in pre-trained embeddings via WEAT test.

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Abstract

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Methodology

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Results

Across all experiments, LLMs produced plausible yet inaccurate estimates, showing that they rely on heuristics rather than actual computation.