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Author Hirschmann, Hagen ♦ Ldeling, Anke ♦ Zeldes, Amir
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Corpus linguistics ♦ German ♦ Historical linguistics ♦ Multilayer corpora ♦ Perfect ♦ Preterit ♦ Tense ♦ Variation
Abstract Our article explores the possibilities of using deeply annotated, incrementally evolving comparable corpora for the study of language change, in this case for different stages from Old High German to New High German. Using the example of the evolution of German past tenses, we show how a variety of categories ranging from low to high complexity interact with the choice between competing linguistic variants. To adequately explore the influence of these categories, we use a multilayer corpus architecture that develops together with our study. We show that a combination of quantitative and qualitative analyses can recognize relevant contextual factors, which feed into the addition of new annotation layers applying to the same data. By making our categorizations explicit as corpus annotations and our data available to other researchers, we promote an open, extensible, and transparent mode of research, where both raw data and the inferential process are exposed to other researchers.
ISSN 15564673
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-04-01
Publisher Place New York
e-ISSN 15564711
Journal Journal on Computing and Cultural Heritage (JOCCH)
Volume Number 5
Issue Number 1
Page Count 16
Starting Page 1
Ending Page 16

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Source: ACM Digital Library