House M.D. Corpus Analysis: A Linguistic Intervention of
Contemporary American English
Law, Locky
Full-time PhD
student
Abstract
Television drama, despite its enormous popularity
across the globe, has rarely received attentions from the linguistics field.
The dearth of research into television drama dialogue is further exposed by the
thriving contributions from various other fields such as philosophy, psychology,
cultural studies and media studies. This paper seeks to promote research interest
in this unique mediated text by selecting renowned medical dramedy House M.D. as research subject and comparing
its 927,922-word House M.D. pure dialogue
corpus (HMDC) to both the 450-million-word Corpus of Contemporary American
English (COCA) and its 95-million-word spoken subcorpus (COCA Spoken) using an
adaptation of Bednerak’s (2011) ranked frequency list method. Using WordSmith
Tools in the calculation of n-gram (n = 1, 2, 3) at the words/clusters level, the
findings indicate that HMDC is more interpersonal than COCA and has a closer resemblance
to COCA Spoken than to COCA. HMDC also contains 3.4 times more negativity than
COCA Spoken and 2.8 times more than COCA. As such, viewers are presented with English
far more interpersonal, as well as involving significantly more disagreement than
one will encounter in the real world. This study not only shows similarities
and differences between House M.D.
and contemporary American English, but also provides a preview of the huge
potential in television drama-related research.
Keywords:
TV drama, House M.D., corpus linguistics, ngram, COCA, ranked frequency
list
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