Measuring Implicit Causality: The Linguistic Category Model
Jeannette Schmid,
Klaus Fiedler, Gün Semin, & Birte Englich
Table of Contents
LCM – A Short Description
2
The Units of Categorization
3
Segmentation
3
Person-Reference
5
Valence
5
The Coding Categories
6
Descriptive Action Verbs (DAV)
6
Interpretive Action Verbs (IAV)
7
State Verbs (SV)
8
Adjectives (ADJ)
9
Special Syntactical Forms and Constructions
10
Nouns derived from Verbs
10
Nouns as Adjectivals
10
Participles
10
Additional Categorization
11
Passive/Inactive Voice
11
Moods
11
Idioms
11
Discretionary Rules for Special Text-Types
12
Descriptions of Fights in Professional Wrestling
12
Critical Evaluation of Theories in a Scientific Journal
12
Partner Descriptions in a Clinical Interview
12
Objectivity
12
References:
12
Coded Text Examples
13
Dr. Van Helsing’s Memorandum (from Bram Stoker’s Dracula)
13
Riddles in the Dark (from J. R. R. Tolkien’s The Hobbit):
15
Building a Home on the Island (from D. Defoe’s Robinson Crusoe):
16
Measuring Implicit Causality: The Linguistic Category Model
Jeannette Schmid, Klaus Fiedler, Gün Semin & Birte Englich
Several studies have so far focussed on the impact of linguistic categories
on attribution of
causality. The following guidelines are meant to facilitate the application
of the Linguistic
Category Model to ”natural language”, that is to language samples
drawn from real media
reports, interviews and the like. Whereas interpersonal language was the model’s
original
domain, recent work has successfully broadened the scope by applying
the model to non-personal
language.
