Cue words and the topic structure of spoken discourse: The case of Swedish men 'but'
Horne, Merle LU
; Hansson, Petra
; Bruce, Gösta
LU
; Frid, Johan
LU
and Filipsson, Marcus
(2001)
In Journal of Pragmatics
33(7).
p.1061-1081
- Abstract
- The Swedish cue word men ‘but’ can mark the boundary between both different topic units as well as topic-internal units in spontaneous speech. The goal of this study is to see if these two functions of men can be distinguished on the basis of their local prosodic correlates and co-occurring lexical items. Men-tokens in spontaneous narrations were labelled as to their function, first using text-only data. The ‘strong’ tokens (categorized identically by all labellers) were subsequently seen to be clearly differentiated into two classes on the basis of related prosodic parameters and co-occurring lexical items. This distinction was, however, not found for the corresponding ‘weak’ tokens which were subsequently relabelled using both text and... (More)
- The Swedish cue word men ‘but’ can mark the boundary between both different topic units as well as topic-internal units in spontaneous speech. The goal of this study is to see if these two functions of men can be distinguished on the basis of their local prosodic correlates and co-occurring lexical items. Men-tokens in spontaneous narrations were labelled as to their function, first using text-only data. The ‘strong’ tokens (categorized identically by all labellers) were subsequently seen to be clearly differentiated into two classes on the basis of related prosodic parameters and co-occurring lexical items. This distinction was, however, not found for the corresponding ‘weak’ tokens which were subsequently relabelled using both text and speech nor for the data-base as a whole. A test using a neural network trained using strong tokens was seen to be able to correctly categorize 90% of the strong men-tokens as to their associated boundary-type (topic-shift vs. topic-internal). The results show that cue words along with their prosodic correlates and co-occurring lexical items constitute a constellation of important information for understanding how segmentation of spoken discourse is produced and understood. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/134737
- author
- Horne, Merle
LU
; Hansson, Petra
; Bruce, Gösta
LU
; Frid, Johan
LU
and Filipsson, Marcus
- organization
- publishing date
- 2001
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Cue word, Discourse marker, Prosody, Spoken discourse, Topic structure, Speech recognition, Swedish
- in
- Journal of Pragmatics
- volume
- 33
- issue
- 7
- pages
- 1061 - 1081
- publisher
- Elsevier
- external identifiers
-
- scopus:0035402184
- ISSN
- 0378-2166
- DOI
- 10.1016/S0378-2166(00)00044-8
- project
- The role of function words in spontaneous speech processing
- language
- English
- LU publication?
- yes
- additional info
- The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Linguistics and Phonetics (015010003)
- id
- bfb25cd7-9e9f-4a0d-a267-3e48978bf8f0 (old id 134737)
- date added to LUP
- 2016-04-01 12:25:38
- date last changed
- 2023-11-12 00:30:42
@article{bfb25cd7-9e9f-4a0d-a267-3e48978bf8f0,
abstract = {{The Swedish cue word men ‘but’ can mark the boundary between both different topic units as well as topic-internal units in spontaneous speech. The goal of this study is to see if these two functions of men can be distinguished on the basis of their local prosodic correlates and co-occurring lexical items. Men-tokens in spontaneous narrations were labelled as to their function, first using text-only data. The ‘strong’ tokens (categorized identically by all labellers) were subsequently seen to be clearly differentiated into two classes on the basis of related prosodic parameters and co-occurring lexical items. This distinction was, however, not found for the corresponding ‘weak’ tokens which were subsequently relabelled using both text and speech nor for the data-base as a whole. A test using a neural network trained using strong tokens was seen to be able to correctly categorize 90% of the strong men-tokens as to their associated boundary-type (topic-shift vs. topic-internal). The results show that cue words along with their prosodic correlates and co-occurring lexical items constitute a constellation of important information for understanding how segmentation of spoken discourse is produced and understood.}},
author = {{Horne, Merle and Hansson, Petra and Bruce, Gösta and Frid, Johan and Filipsson, Marcus}},
issn = {{0378-2166}},
keywords = {{Cue word; Discourse marker; Prosody; Spoken discourse; Topic structure; Speech recognition; Swedish}},
language = {{eng}},
number = {{7}},
pages = {{1061--1081}},
publisher = {{Elsevier}},
series = {{Journal of Pragmatics}},
title = {{Cue words and the topic structure of spoken discourse: The case of Swedish men 'but'}},
url = {{http://dx.doi.org/10.1016/S0378-2166(00)00044-8}},
doi = {{10.1016/S0378-2166(00)00044-8}},
volume = {{33}},
year = {{2001}},
}