The Validation of MRCPD Cross-language Expansions on Imageability Ratings

Ting Liu, Kit Cho, Tomek Strzalkowski, Samira Shaikh, Mehrdad Mirzaei

Abstract
In this article, we present a method to validate a multi-lingual (English, Spanish, Russian, and Farsi) corpus on imageability ratings automatically expanded from MRCPD (Liu et al., 2014). We employed the corpus (Brysbaert et al., 2014) on concreteness ratings for our English MRCPD+ validation because of lacking human assessed imageability ratings and high correlation between concreteness ratings and imageability ratings (e.g. r = .83). For the same reason, we built a small corpus with human imageability assessment for the other language corpus validation. The results show that the automatically expanded imageability ratings are highly correlated with human assessment in all four languages, which demonstrate our automatic expansion method is valid and robust. We believe these new resources can be of significant interest to the research community, particularly in natural language processing and computational sociolinguistics.
Anthology ID:
L16-1594
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3748–3751
Language:
URL:
https://aclanthology.org/L16-1594
DOI:
Bibkey:
Cite (ACL):
Ting Liu, Kit Cho, Tomek Strzalkowski, Samira Shaikh, and Mehrdad Mirzaei. 2016. The Validation of MRCPD Cross-language Expansions on Imageability Ratings. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3748–3751, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
The Validation of MRCPD Cross-language Expansions on Imageability Ratings (Liu et al., LREC 2016)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/L16-1594.pdf
PDF Search