Sinclair, arguing for the use of corpora in language description, states that:
[...] fashionable ELT methodology has paid little attention to the state of language description, behaving as if the facts of English structure were no longer in dispute. In practical terms this has led to the growth and maintenance of a mythology about English [...] which language teachers take for granted, but much of which is challenged by corpus evidence [...] (1997:30).With that in mind, this research set out to show how a corpus organized around the concept of interpersonal meaning, i.e. MOOD system (Halliday 1994, Eggins 1994), could be used to describe the relationships between language users and how the language they use reflects that relationship. The final step in the process would see the application of the data to the design of a computer mediated course for improving e-mail writing skills.
Four stages of methodology were examined: creation of the corpus, creation of a tagging system, application of the tagging system, analysis of the data and its influence on decisions in syllabus design. This paper is based on "The complete consort dancing together...": Interaction in E-mail (Wyatt 1997), a Masters' Dissertation in Applied Linguistics, successfully defended in April, 1997 at The Catholic University of São Paulo (PUC/SP).
Halliday uses the term "CLAUSE NEXUS" to identify a group of clauses related by taxis (1994:218).
The clauses making up such a nexus are PRIMARY and SECONDARY. The primary is the initiating clause in a paratactic nexus, and the dominant clause in a hypotactic; the secondary is the continuing clause in a paratactic nexus and a dependent clause in a hypotactic (Halliday 1994:218).The Clause Complex and the system of taxis offer precedents within Systemic Functional Grammar (SFG) for Head + Modifier type organization. By applying it as a paradigm, a unit of analysis, Function Complex (FC), was created. The FC describes a distinct SFG entity and avoids the possible confusion inherent in using terms like "clause" and "group", which have their own specific meanings in Halliday (1994). While all meanings (textual, experiential and interpersonal) have equal weight in a Clause Complex, an FC is intended to represent only interpersonal meaning, as described by the MOOD system (Halliday 1994), and just as the logical component of Clause Complexes is understood through the "primary + secondary" relationship of taxis, FCs demonstrate a similar, parallel organization within MOOD. An FC has a "head (primary) function + modifying (secondary) function(s)" structure. In the analysis, each clause complex was broken into its constituent clauses. The Head of the "primary clause" and the MOOD constituent of that Head were identified. Then, the MOOD constituent was treated as the Head Function and its FC classification applied to the whole complex.
The use of tags offered more refined access to the data. Through them, all the varieties of language employed for a particular Speech Function were gathered, quantified, alphabetized and compared quickly and efficiently. Database searches were performed combining both tags and specific language items. This method permited detailed searches and cross comparisons between functions too.
A tag consists of eight digits: (00000000). The first three (000ooooo) represent first level choices: giving OR demanding, goods&services OR information, inititing OR responding. The remaining five (ooo00000) mark the ways in which the speech functions are realized. Each digit can contain a value form zero to four. Zero indicates that the choice is not available in that instance. The first level choices are always non-zero, while the others are determined by the particular speech function which has been chosen: offer, command, question or statement. For example, the eighth digit which marks a response as "supporting" or "confronting" is not used to describe speech functions which initiate exchanges.
Figure 1 Functional tagging system choices.
In table 1 the structure and meaning of the tag which describes an answer to a polarized question, \12200011\, is shown.
Digits | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
---|---|---|---|---|---|---|---|---|
Tag | 1 | 2 | 2 | 0 | 0 | 0 | 1 | 1 |
Meaning | giving + information + responding | polarized declarative + supporting | ||||||
Levels | First Level Choices | Second Level Choices |
Attention was then focused on message content. The messages were broken down into speech-function complexes and each complex given a tag, along with an identification number, which indicated in which message a complex was found and its position within that message.
identifier
(msg./pos.) |
tag | FC |
---|---|---|
\"004.03" | \"12100010" | \"I received a copy of the..." |
In each case the HEAD (Halliday 1994) of the primary clause was used as the identifying element of the FC. The process of identifying and tagging an FC is described below.
Example 1
Example of tagging FC: Somebody asked (sorry, but the delete finger is fast) why _The Pearl_ was banned in the orient. This FC is a clause complex consisting of five distinct clauses:
Somebody asked (something)
- polar declarative: no response required
- giving information
- initiating exchange by restating question
tag = 12100010
Message types | Percentage
of Corpus |
---|---|
(221) demanding + information + initiating | 35.45% |
(122) giving + information + responding | 33.33% |
(121) giving + information + initiating | 23.90% |
FC type | Quantity | Percentage
of Corpus |
---|---|---|
giving + information | 569 | 74.5% |
demanding + goods&services | 122 | 16.0% |
demanding + information | 56 | 7.0% |
giving + goods&services | 6 | 0.7% |
FC Types | Message Types | ||||||
---|---|---|---|---|---|---|---|
giv+
info+ init |
giv+
info+ resp |
dem+
info+ init |
dem+
info+ resp |
||||
giving +
information + initiating |
73.0% | 76.0% | 52.0% | 42.0% | |||
giving +
information + responding |
1.0% | 11.6% | 6.4% | 0.0% | |||
demanding +
information + initiating |
1.0% | 2.0% | 25.0% | 14.3% | |||
demanding +
information + responding |
0.0% | 1.1% | 0.0% | 14.3% |
The course syllabus was centered around the demands of information exchange, the principal activity in the corpus. It was found that statements which had a nominal group as their subject outnumbered those which had "I" as their subject by a ratio of 2:1. The predominance of that type of third person subjects, as opposed to pronouns, is a strong indicator of the level of indirectness maintained in the messages. Consequently, the ability to produce that type of sentence was given priority. Certainly, students would have to do more than that, but the overall consistency of the way list users passed information allowed the choices of what to teach first to be narrowed considerably.
Example 2
SUBJECT (NG) + "is" + ATTRIBUTEThe corpus also provided an overview of the levels of politeness and indirectness used by list participants. These became the main focus of the course, since the subject matter of the three lists differed, but their general manners showed little variation. Students are frequently concerned about being able to adjust their language to suit the formality or intimacy of the situation. The corpus indicated in a clear and concise manner just what list users expect from each other, in terms ofpoliteness and personal distance. Requests for information were divided between polar interrogatives (47%), declaratives (40%) and WH/interrogatives (13%). It is important to mention here that the polar interrogatives constitute an indirect manner of requesting since the responses they sought were not simply "yes" or "no", but something beyond. Thus, 87% of the information requests could be considered indirect and, as such, polite. The skills needed to produce these were also given a high priority in the syllabus.
"12100010"\"Enrollment is limited ...
"12100010"\"FUN101 is a free, non-credit course ...
"12100020"\"GEOPOL is very fast and ...
"12100010"\"The language is so similar to many of our students' ...
Example 3
Indirect requests using modal polar interrogativeExample 4
"\"004.09"\"21103000"\"Can you help?
"\"006.05"\"21103000"\"Can anyone provide information...
"\"019.01"\"21103000"\"Can anyone who has a computer lab recommend...
DeclaringAs a resource for learners, the corpus represents a space to be explored. By providing the tools to access and organize the information there, the course designers enable students to build their own information structures and customize their learning to their personal needs and preferences. The course design process involved a search for appropriate software. As of this writing, a final decision hasn't been made, but indications are that it will be a Perl based search engine on the course Web server.
"22100310"\"suggestions on how to prepare for this adventure will also be appreciated inasmuch as ...
"22100310"\"Right now I will take any general information on the ...
"22100320"\"Any info on newspaper articles, [...] will be greatly appreciated.
Eggins, | Suzanne. 1994 An Introduction to Systemic Functional Linguistics. London. Pinter Publishers Ltd. |
Halliday, | M. A. K. 1994. An Introduction to Functional Grammar, 2nd ed. London. Edward Arnold. |
Sinclair,
. |
John M. 1997. "Corpus Evidence in Language Description". In Wichman A., Fligelstone S., McEnery T., Knowles G. (eds) Teaching and Language Corpora. London and New York. Longman. pp. 27-39. |
Swales, | John M. 1990. Genre Analysis: English in academic and research settings. Cambridge. CUP. |
Wyatt,
. |
Robert D. 1997. "The complete consort dancing together...": Interaction in E-mail. Masters' Dissertation. São Paulo. Pontifícia Universidade Católica. |