Dyr Bul Shchyl. Proxying Sound Symbolism With Word Embeddings
Ivan P. Yamshchikov | Viascheslav Shibaev | Alexey Tikhonov
Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for NLP
This paper explores modern word embeddings in the context of sound symbolism. Using basic properties of the representations space one can construct semantic axes. A method is proposed to measure if the presence of individual sounds in a given word shifts its semantics of that word along a specific axis. It is shown that, in accordance with several experimental and statistical results, word embeddings capture symbolism for certain sounds.