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
- Editors:
- Greg Kondrak, Taro Watanabe
- Venue:
- IJCNLP
- SIG:
- Publisher:
- Asian Federation of Natural Language Processing
- Note:
- Pages:
- 330–336
- Language:
- URL:
- https://aclanthology.org/I17-2056
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/I17-2056.pdf