Language-Independent Prediction of Psycholinguistic Properties of Words

Yo Ehara


Abstract
The psycholinguistic properties of words, namely, word familiarity, age of acquisition, concreteness, and imagery, have been reported to be effective for educational natural language-processing tasks. Previous studies on predicting the values of these properties rely on language-dependent features. This paper is the first to propose a practical language-independent method for predicting such values by using only a large raw corpus in a language. Through experiments, our method successfully predicted the values of these properties in two languages. The results for English were competitive with the reported accuracy achieved using features specific to English.
Anthology ID:
I17-2056
Volume:
Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Month:
November
Year:
2017
Address:
Taipei, Taiwan
Venue:
IJCNLP
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
330–336
Language:
URL:
https://aclanthology.org/I17-2056
DOI:
Bibkey:
Cite (ACL):
Yo Ehara. 2017. Language-Independent Prediction of Psycholinguistic Properties of Words. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 330–336, Taipei, Taiwan. Asian Federation of Natural Language Processing.
Cite (Informal):
Language-Independent Prediction of Psycholinguistic Properties of Words (Ehara, IJCNLP 2017)
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PDF:
https://preview.aclanthology.org/update-css-js/I17-2056.pdf