Paper Info
Title
Information-based Modeling of Diachronic Linguistic Change: from Typicality to Productivity.
Abstract
We present a new approach for modeling diachronic linguistic change in grammatical usage. We illustrate the approach on English scientific writing in Late Modern English, focusing on grammatical patterns that are potentially indicative of shifts in register, genre and/or style. Commonly, diachronic change is characterized by the relative frequency of typical linguistic features over time. However, to fully capture changing linguistic usage, feature productivity needs to be taken into account as well. We introduce a data-driven approach for systematically detecting typical features and assessing their productivity over time, using information-theoretic measures of entropy and surprisal.
Year
DOI
Venue
2016
10.18653/v1/W16-2121
LaTeCH@ACL
Field
DocType
Volume
Modern English,Computer science,Frequency,Scientific writing,Artificial intelligence,Natural language processing,Linguistics
Conference
W16-21
Citations 
PageRank 
References 
0
0.34
3
Authors
2
Name
Order
Citations
PageRank
Stefania Degaetano-Ortlieb175.86
Elke Teich27719.09