DocumentCode :
1169849
Title :
A Corpus Study of Canned Letters: Mining the Latent Rhetorical Proficiencies Marketed to Writers-in-a-Hurry and Non-Writers
Author :
Kaufer, David ; Ishizaki, Suguru
Author_Institution :
Dept. of English, Carnegie Mellon, Pittsburgh, PA
Volume :
49
Issue :
3
fYear :
2006
Firstpage :
254
Lastpage :
266
Abstract :
Corpus studies are revolutionizing the study of language practice, including professional communication, by substituting actual examples of practice for prescriptive intuition. Corpora are often put together by researchers who exert much care in what goes into a corpus. Yet professional communicators also experience corpora as commodities in the marketplace, bundles of "writing models" for sale that cross genres of professional and personal communication. When writers purchase these bundles, what are the latent rhetorical strategies they are purchasing? A corpus study of 728 canned letters across 15 genres taken from a best-selling trade book was undertaken. The texts were tagged for rhetorical features and factor analyzed for latent rhetorical dimensions of proficiency. The study concludes that the latent rhetorical proficiencies brought into evidence are heavily weighted on skills of collecting or raising money. While this study requires replication over a wider sample, it illustrates how corpus approaches can help us rigorously retrieve latent rhetorical skills across a collection of rhetorically diverse texts. It further helps us see how corpus studies allow one to maintain close ties between the avowed standards of communication practice and the close description of the practices themselves
Keywords :
computational linguistics; natural languages; professional communication; statistical analysis; text analysis; best-selling trade book; canned letters; corpus analysis; factor analysis; language practice; latent rhetorical proficiency; personal communication; professional communication; writing model; Books; Communication standards; Dictionaries; Marketing and sales; Natural languages; Professional communication; Rhetoric; Statistical analysis; Tagging; Text analysis; Computer tagging of text; corpus analysis; factor analysis; genre; rhetoric; statistics; textual analysis;
fLanguage :
English
Journal_Title :
Professional Communication, IEEE Transactions on
Publisher :
ieee
ISSN :
0361-1434
Type :
jour
DOI :
10.1109/TPC.2006.880743
Filename :
1684207
Link To Document :
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