EAN: 9783110350258

CLUSTER ANALYSIS FOR CORPUS LINGUISTICS - HERMA...

The standard scientific methodology in linguistics is empirical testing of falsifiable
hypotheses. As such the process of hypothesis generation is central  and involves formulation
of a research question about a domain of interest and statement of a hypothesis relative to it.
In corpus linguistics the domain is text  and generation involves abstraction of data from text
data analysis  and formulation of a hypothesis based on inference from the results.
Traditionally this process has been paper-based  but the advent of electronic text has
increasingly rendered it obsolete both because the size of digital corpora is now at or beyond
the limit of what can efficiently be used in the traditional way  and because the complexity of
data abstracted from them can be impenetrable to understanding. Linguists are increasingly
turning to mathematical and statistical computational methods for help  and cluster analysis is
such a method. It is used across the sciences for hypothesis generation by identification of
structure in data which are too large or complex  or both  to be interpretable by direct
inspection. This book aims to show how cluster analysis can be used for hypothesis generation
in corpus linguistics  thereby contributing to a quantitative empirical methodology for the
discipline.

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