@inproceedings{fourtassi-2020-word,
title = "Word Co-occurrence in Child-directed Speech Predicts Children{'}s Free Word Associations",
author = "Fourtassi, Abdellah",
editor = "Chersoni, Emmanuele and
Jacobs, Cassandra and
Oseki, Yohei and
Pr{\'e}vot, Laurent and
Santus, Enrico",
booktitle = "Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.cmcl-1.6",
doi = "10.18653/v1/2020.cmcl-1.6",
pages = "49--53",
abstract = "The free association task has been very influential both in cognitive science and in computational linguistics. However, little research has been done to study how free associations develop in childhood. The current work focuses on the developmental hypothesis according to which free word associations emerge by mirroring the co-occurrence distribution of children{'}s linguistic environment. I trained a distributional semantic model on a large corpus of child language and I tested if it could predict children{'}s responses. The results largely supported the hypothesis: Co-occurrence-based similarity was a strong predictor of children{'}s associative behavior even controlling for other possible predictors such as phonological similarity, word frequency, and word length. I discuss the findings in the light of theories of conceptual development.",
}
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%0 Conference Proceedings
%T Word Co-occurrence in Child-directed Speech Predicts Children’s Free Word Associations
%A Fourtassi, Abdellah
%Y Chersoni, Emmanuele
%Y Jacobs, Cassandra
%Y Oseki, Yohei
%Y Prévot, Laurent
%Y Santus, Enrico
%S Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F fourtassi-2020-word
%X The free association task has been very influential both in cognitive science and in computational linguistics. However, little research has been done to study how free associations develop in childhood. The current work focuses on the developmental hypothesis according to which free word associations emerge by mirroring the co-occurrence distribution of children’s linguistic environment. I trained a distributional semantic model on a large corpus of child language and I tested if it could predict children’s responses. The results largely supported the hypothesis: Co-occurrence-based similarity was a strong predictor of children’s associative behavior even controlling for other possible predictors such as phonological similarity, word frequency, and word length. I discuss the findings in the light of theories of conceptual development.
%R 10.18653/v1/2020.cmcl-1.6
%U https://aclanthology.org/2020.cmcl-1.6
%U https://doi.org/10.18653/v1/2020.cmcl-1.6
%P 49-53
Markdown (Informal)
[Word Co-occurrence in Child-directed Speech Predicts Children’s Free Word Associations](https://aclanthology.org/2020.cmcl-1.6) (Fourtassi, CMCL 2020)
ACL