@inproceedings{liu-etal-2018-discovering,
title = "Discovering Phonesthemes with Sparse Regularization",
author = "Liu, Nelson F. and
Levow, Gina-Anne and
Smith, Noah A.",
editor = {Faruqui, Manaal and
Sch{\"u}tze, Hinrich and
Trancoso, Isabel and
Tsvetkov, Yulia and
Yaghoobzadeh, Yadollah},
booktitle = "Proceedings of the Second Workshop on Subword/Character {LE}vel Models",
month = jun,
year = "2018",
address = "New Orleans",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-1206",
doi = "10.18653/v1/W18-1206",
pages = "49--54",
abstract = "We introduce a simple method for extracting non-arbitrary form-meaning representations from a collection of semantic vectors. We treat the problem as one of feature selection for a model trained to predict word vectors from subword features. We apply this model to the problem of automatically discovering phonesthemes, which are submorphemic sound clusters that appear in words with similar meaning. Many of our model-predicted phonesthemes overlap with those proposed in the linguistics literature, and we validate our approach with human judgments.",
}
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<abstract>We introduce a simple method for extracting non-arbitrary form-meaning representations from a collection of semantic vectors. We treat the problem as one of feature selection for a model trained to predict word vectors from subword features. We apply this model to the problem of automatically discovering phonesthemes, which are submorphemic sound clusters that appear in words with similar meaning. Many of our model-predicted phonesthemes overlap with those proposed in the linguistics literature, and we validate our approach with human judgments.</abstract>
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%0 Conference Proceedings
%T Discovering Phonesthemes with Sparse Regularization
%A Liu, Nelson F.
%A Levow, Gina-Anne
%A Smith, Noah A.
%Y Faruqui, Manaal
%Y Schütze, Hinrich
%Y Trancoso, Isabel
%Y Tsvetkov, Yulia
%Y Yaghoobzadeh, Yadollah
%S Proceedings of the Second Workshop on Subword/Character LEvel Models
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans
%F liu-etal-2018-discovering
%X We introduce a simple method for extracting non-arbitrary form-meaning representations from a collection of semantic vectors. We treat the problem as one of feature selection for a model trained to predict word vectors from subword features. We apply this model to the problem of automatically discovering phonesthemes, which are submorphemic sound clusters that appear in words with similar meaning. Many of our model-predicted phonesthemes overlap with those proposed in the linguistics literature, and we validate our approach with human judgments.
%R 10.18653/v1/W18-1206
%U https://aclanthology.org/W18-1206
%U https://doi.org/10.18653/v1/W18-1206
%P 49-54
Markdown (Informal)
[Discovering Phonesthemes with Sparse Regularization](https://aclanthology.org/W18-1206) (Liu et al., SCLeM 2018)
ACL