Paper: Vector spaces for historical linguistics: Using distributional semantics to study syntactic productivity in diachrony

ACL ID P14-2051
Title Vector spaces for historical linguistics: Using distributional semantics to study syntactic productivity in diachrony
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

This paper describes an application of dis- tributional semantics to the study of syn- tactic productivity in diachrony, i.e., the property of grammatical constructions to attract new lexical items over time. By providing an empirical measure of seman- tic similarity between words derived from lexical co-occurrences, distributional se- mantics not only reliably captures how the verbs in the distribution of a construc- tion are related, but also enables the use of visualization techniques and statistical modeling to analyze the semantic develop- ment of a construction over time and iden- tify the semantic determinants of syntactic productivity in naturally occurring data.