![]() ![]() We focus on the development of scientific English in the late modern period. We present a data-driven approach to detect periods of linguistic change and the lexical and grammatical features contributing to change. Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and LiteratureĪssociation for Computational Linguistics Using relative entropy for detection and analysis of periods of diachronic linguistic change Our method is generic and can be applied to other data sets, languages and time ranges.", Using a diachronic corpus of scientific publications of the Royal Society of London, we show how periods of change reflect the interplay between lexis and grammar, where periods of lexical expansion are typically followed by periods of grammatical consolidation resulting in a balance between expressivity and communicative efficiency. Our approach is based on relative entropy (Kullback-Leibler Divergence) comparing temporally adjacent periods and sliding over the time line from past to present. Publisher = "Association for Computational Linguistics",Ībstract = "We present a data-driven approach to detect periods of linguistic change and the lexical and grammatical features contributing to change. Cite (Informal): Using relative entropy for detection and analysis of periods of diachronic linguistic change (Degaetano-Ortlieb & Teich, LaTeCH 2018) Copy Citation: BibTeX Markdown MODS XML Endnote More options… PDF: = "Using relative entropy for detection and analysis of periods of diachronic linguistic change",Īuthor = "Degaetano-Ortlieb, Stefania andīooktitle = "Proceedings of the Second Joint Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature", Association for Computational Linguistics. In Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 22–33, Santa Fe, New Mexico. Using relative entropy for detection and analysis of periods of diachronic linguistic change. ![]() Anthology ID: W18-4503 Volume: Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature Month: August Year: 2018 Address: Santa Fe, New Mexico Venue: LaTeCH SIG: Publisher: Association for Computational Linguistics Note: Pages: 22–33 Language: URL: DOI: Bibkey: degaetano-ortlieb-teich-2018-using Cite (ACL): Stefania Degaetano-Ortlieb and Elke Teich. Our method is generic and can be applied to other data sets, languages and time ranges. ![]() Abstract We present a data-driven approach to detect periods of linguistic change and the lexical and grammatical features contributing to change. ![]()
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