Temporal predictive regression models for linguistic style analysis

This paper presents work on modelling language change over time. In particular we use different feature types, i.e.~character, word stem, part-of-speech and word ngrams to predict the publication year of texts. We do this for two different corpora, one containing texts published over an approximatel...

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Bibliographic Details
Main Authors: Carmen Klaussner, Carl Vogel
Format: Article
Language:English
Published: Institute of Computer Science, Polish Academy of Sciences 2018-08-01
Series:Journal of Language Modelling
Subjects:
Online Access:https://jlm.ipipan.waw.pl/index.php/JLM/article/view/177