This work looks at a temporal aspect of multiword expressions (MWEs), namely that the behaviour of a given n-gram and its status as a MWE change over time. We propose a model in which context words have particular probabilities given a usage choice for an n-gram, and those usage choices have time dependent probabilities, and we put forward an expectationmaximisation technique for estimating the parameters from data with no annotation of usage choice. For a range of MWE usages of recent coinage, we evaluate whether the technique is able to detect the emerging usage.
CITATION STYLE
Emms, M., & Jayapal, A. (2014). Detecting change and emergence for multiword expressions. In MWE 2014 - Proceedings of the 10th Workshop on Multiword Expressions, in conjunction with the 14th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014 (pp. 89–93). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/w14-0815
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