David Lee
Genres, Registers, Text Types, Domains, and Styles
Language Learning & Technology
50
student essays (10)
Non-professional
writing (20)
student examination scripts
(10)
social letters (15)
Non-Printed
(50)
Correspondence (30)
business letters (15)
humanities (10)
social sciences (10)
natural sciences (10)
Academic writing (40)
technology (10)
humanities (10)
social sciences (10)
natural sciences (10)
Non-academic writing
(40)
technology (10)
Reportage (20)
press news reports (20)
administrative/regulatory (10)
Instructional writing
(20)
skills/hobbies (10)
Persuasive
writing
(10)
press editorials (10)
WRITTEN
(200)
Printed
(150)
Creative writing (20)
novels/stories (20)
The
top row of the table
is my attempt at describing what attribute(s) or levels the terms within each
column represent. The terms within the last column are what end-users of the corpus normally work with,
and can be seen to be either genres or sub-genres, viewed from a prototype perspective (e.g., "broadcast
interview" is probably best seen as a sub-genre of "interview," differing mainly in terms of the setting,
and business letters differ from social letters mainly in terms of domain). Most of the terms in the third
column can be said to describe "super-genre" or "super-super-genres," with the exception of "instructional
writing" and "persuasive writing" (shaded), which seem more like functional labels.
9
The British National Corpus (BNC), in contrast, has no text categorisation for written texts beyond that of
domain, and no categorisation for spoken texts except by "context" and demographic/socio-economic
classes. The following diagram shows the breakdown of the BNC:
Figure 4. Domains in the British National Corpus (BNC)
David Lee
Genres, Registers, Text Types, Domains, and Styles
Language Learning & Technology
51
It can be seen that for the written texts, domains are broad "subject fields" (see Burnard, 1995). These are
closely paralleled for the spoken texts by even broader "context" categories covering
the major spheres of
social life (leisure, business, education, and institutional/public contexts). Apart from considering all the
demographically sampled conversations as constituting one super-genre of "casual conversation" and all
the written imaginative texts as forming a super-genre "literature," genres cannot easily be found at all
under the current domain scheme. More about these BNC categories and their (non-) usefulness will be
said in later sections.
Moving on to the LOB corpus (
Table 4
), we see that it is mostly composed of a mixture of genre and sub-
genre labels:
Table 4. Genres in the LOB Corpus
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