<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="schatzle-booth-2019-diahclust">
    <titleInfo>
        <title>DiaHClust: an Iterative Hierarchical Clustering Approach for Identifying Stages in Language Change</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Christin</namePart>
        <namePart type="family">Schätzle</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Hannah</namePart>
        <namePart type="family">Booth</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2019-08</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Nina</namePart>
            <namePart type="family">Tahmasebi</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Lars</namePart>
            <namePart type="family">Borin</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Adam</namePart>
            <namePart type="family">Jatowt</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Yang</namePart>
            <namePart type="family">Xu</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Florence, Italy</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Language change is often assessed against a set of pre-determined time periods in order to be able to trace its diachronic trajectory. This is problematic, since a pre-determined periodization might obscure significant developments and lead to false assumptions about the data. Moreover, these time periods can be based on factors which are either arbitrary or non-linguistic, e.g., dividing the corpus data into equidistant stages or taking into account language-external events. Addressing this problem, in this paper we present a data-driven approach to periodization: ‘DiaHClust’. DiaHClust is based on iterative hierarchical clustering and offers a multi-layered perspective on change from text-level to broader time periods. We demonstrate the usefulness of DiaHClust via a case study investigating syntactic change in Icelandic, modelling the syntactic system of the language in terms of vectors of syntactic change.</abstract>
    <identifier type="citekey">schatzle-booth-2019-diahclust</identifier>
    <identifier type="doi">10.18653/v1/W19-4716</identifier>
    <location>
        <url>https://aclanthology.org/W19-4716</url>
    </location>
    <part>
        <date>2019-08</date>
        <extent unit="page">
            <start>126</start>
            <end>135</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T DiaHClust: an Iterative Hierarchical Clustering Approach for Identifying Stages in Language Change
%A Schätzle, Christin
%A Booth, Hannah
%Y Tahmasebi, Nina
%Y Borin, Lars
%Y Jatowt, Adam
%Y Xu, Yang
%S Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F schatzle-booth-2019-diahclust
%X Language change is often assessed against a set of pre-determined time periods in order to be able to trace its diachronic trajectory. This is problematic, since a pre-determined periodization might obscure significant developments and lead to false assumptions about the data. Moreover, these time periods can be based on factors which are either arbitrary or non-linguistic, e.g., dividing the corpus data into equidistant stages or taking into account language-external events. Addressing this problem, in this paper we present a data-driven approach to periodization: ‘DiaHClust’. DiaHClust is based on iterative hierarchical clustering and offers a multi-layered perspective on change from text-level to broader time periods. We demonstrate the usefulness of DiaHClust via a case study investigating syntactic change in Icelandic, modelling the syntactic system of the language in terms of vectors of syntactic change.
%R 10.18653/v1/W19-4716
%U https://aclanthology.org/W19-4716
%U https://doi.org/10.18653/v1/W19-4716
%P 126-135

Markdown (Informal)

[DiaHClust: an Iterative Hierarchical Clustering Approach for Identifying Stages in Language Change](https://aclanthology.org/W19-4716) (Schätzle & Booth, LChange 2019)

• DiaHClust: an Iterative Hierarchical Clustering Approach for Identifying Stages in Language Change (Schätzle & Booth, LChange 2019)

ACL

• Christin Schätzle and Hannah Booth. 2019. DiaHClust: an Iterative Hierarchical Clustering Approach for Identifying Stages in Language Change. In Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, pages 126–135, Florence, Italy. Association for Computational Linguistics.