Abstract
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.- Anthology ID:
- W19-2012
- Volume:
- Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for NLP
- Month:
- June
- Year:
- 2019
- Address:
- Minneapolis, USA
- Editors:
- Anna Rogers, Aleksandr Drozd, Anna Rumshisky, Yoav Goldberg
- Venue:
- RepEval
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 90–94
- Language:
- URL:
- https://aclanthology.org/W19-2012
- DOI:
- 10.18653/v1/W19-2012
- Cite (ACL):
- Ivan P. Yamshchikov, Viascheslav Shibaev, and Alexey Tikhonov. 2019. Dyr Bul Shchyl. Proxying Sound Symbolism With Word Embeddings. In Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for NLP, pages 90–94, Minneapolis, USA. Association for Computational Linguistics.
- Cite (Informal):
- Dyr Bul Shchyl. Proxying Sound Symbolism With Word Embeddings (Yamshchikov et al., RepEval 2019)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/W19-2012.pdf