19.502, Diss: Disc Analysis: Iatsko: 'Problems in Information and Linguisti...'

[LINGUIST Network]

LINGUIST List: Vol-19-502. Tue Feb 12 2008. ISSN: 1068 - 4875.

Subject: 19.502, Diss: Disc Analysis: Iatsko: 'Problems in Information and Linguisti...'

Moderators: Anthony Aristar, Eastern Michigan U <aristar at linguistlist.org>
            Helen Aristar-Dry, Eastern Michigan U <hdry at linguistlist.org>
 
Reviews: Randall Eggert, U of Utah  
         <reviews at linguistlist.org> 

Homepage: http://linguistlist.org/

The LINGUIST List is funded by Eastern Michigan University, 
and donations from subscribers and publishers.

Editor for this issue: Evelyn Richter <evelyn at linguistlist.org>
================================================================  

To post to LINGUIST, use our convenient web form at
http://linguistlist.org/LL/posttolinguist.html.

===========================Directory==============================  

1)
Date: 12-Feb-2008
From: Slava Iatsko < iatsko at gmail.com >
Subject: Problems in Information and Linguistic Modeling of Scientific Discourse

 

	
-------------------------Message 1 ---------------------------------- 
Date: Tue, 12 Feb 2008 11:16:03
From: Slava Iatsko [iatsko at gmail.com]
Subject: Problems in Information and Linguistic Modeling of Scientific Discourse
E-mail this message to a friend:
http://linguistlist.org/issues/emailmessage/verification.cfm?iss=19-502.html&submissionid=169205&topicid=14&msgnumber=1  

Institution: All-Russia Institute for Scientific and Technical Information (VINITI) 
Program: Scientific discourse analysis 
Dissertation Status: Completed 
Degree Date: 1998 

Author: Slava Iatsko

Dissertation Title: Problems in Information and Linguistic Modeling of
Scientific Discourse 

Linguistic Field(s): Discourse Analysis


Dissertation Director(s):
Rugero Giliarevsky

Dissertation Abstract:

This dissertation discusses theoretical and methodological problems of text
grammar, outlines the conception of scientific discourse structure, and
describes methods of its analysis. 

The development of text grammar as a separate linguistic discipline comprises
two main periods. The first one, which in T. Kuhn's terminology may be described
as a normal period, had lasted from the end of the 1960s till the end of the
1980s. This period is characterized by predominance of the ideas of
communicative syntax, working out the notion of supra-phrasal unity, studying
lexical and grammatical manifestations of connections between sentences. The
second period began in the 1990s. Its main specific feature is the integral
approach based on studying not only the communicative but also the other aspects
of the text such as nominative, modal, relational. The integral approach to
scientific discourse (text) analysis was suggested in our previous work and is
further developed in the present dissertation. Within the integral approach the
emphasis is made on studying logical relations between judgments expressed by
sentences. Three types of such relations have been described in our works:
diachronic relation characterizing temporal succession of actions or states of
the object, synchronic relation characterizing simultaneous features of the
object, and causative-consecutive relation based on syllogism. These relations
form deep structure (relational aspect) of the text and correspond to three
types of speech: narration, description, and reasoning. Logical relations
between judgments may be manifested or not manifested in the surface structure
of the text (in its communicative aspect). Sometimes the meaning of lexical and
grammatical units in the surface structure contradicts the nature of logical
relations in textual deep structure. E.g. lexical and grammatical units with
causative-consecutive meaning may be used in narration, not in reasoning. That
is why a special method is needed to reveal logical relations between judgments
in textual deep structure. Such a method, developed in our works, is called the
method of compositional modeling. It includes four procedures: interpretation of
nominative, modal, and communicative aspects; reduction; normalization;
canonization of the text. The application of these procedures makes it possible
1) to reveal logical relations between judgments in textual deep structure, 2)
to make up a compositional model of the text. The compositional model of the
text may perform the function of information retrieval, thus being a kind of a
secondary source like the other secondary sources, such as abstracts. So, the
study of text's compositional structure may be of importance not only for
linguistics but for information science as well.






-----------------------------------------------------------
LINGUIST List: Vol-19-502