I combined the 50d pre-trained GloVe vectors for semantic similarity with my phonetic similarity vectors (just by concatenating them to make 100d vectors) so I could find words that are similar both in meaning and in sound... here's an example in use, replacing each word in _The Road Not Taken_ with its closest sound/meaning equivalent according to this method (original on left)
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