Human Associations Help to Detect Conventionalized Multiword Expressions

Natalia Loukachevitch, Anastasia Gerasimova


Abstract
In this paper we show that if we want to obtain human evidence about conventionalization of some phrases, we should ask native speakers about associations they have to a given phrase and its component words. We have shown that if component words of a phrase have each other as frequent associations, then this phrase can be considered as conventionalized. Another type of conventionalized phrases can be revealed using two factors: low entropy of phrase associations and low intersection of component word and phrase associations. The association experiments were performed for the Russian language.
Anthology ID:
R17-1061
Volume:
Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
Month:
September
Year:
2017
Address:
Varna, Bulgaria
Editors:
Ruslan Mitkov, Galia Angelova
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
459–466
Language:
URL:
https://doi.org/10.26615/978-954-452-049-6_061
DOI:
10.26615/978-954-452-049-6_061
Bibkey:
Cite (ACL):
Natalia Loukachevitch and Anastasia Gerasimova. 2017. Human Associations Help to Detect Conventionalized Multiword Expressions. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 459–466, Varna, Bulgaria. INCOMA Ltd..
Cite (Informal):
Human Associations Help to Detect Conventionalized Multiword Expressions (Loukachevitch & Gerasimova, RANLP 2017)
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PDF:
https://doi.org/10.26615/978-954-452-049-6_061