A Linguistic Procedure for an Extension Number Guidance System
Summary :
This paper describes the linguistic procedure of our speech dialogue system. The procedure is composed of two processes, syntactic analysis using a finite state network, and discourse analysis using a plan recognition model. The finite state network is compiled from regular grammar. The regular grammar is described in order to accept sentences with various styles, for example ellipsis and inversion. The regular grammar is automatically generated from the skeleton of the grammar. The discourse analysis module understands the utterance, generates the next question for users and also predicts words which will be in the next utterance. For an extension number guidance task, we obtained correct recognition results for 93% of input sentences without word prediction and for 98% if prediction results include proper words.
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- IEICE TRANSACTIONS on Information Vol.E76-D No.1 pp.106-111
- Publication Date
- 1993/01/25
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- Type of Manuscript
- Special Section PAPER (Special Issue on Speech and Discourse Processing in Dialogue Systems)
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Naomi INOUE, Izuru NOGAITO, Masahiko TAKAHASHI, "A Linguistic Procedure for an Extension Number Guidance System" in IEICE TRANSACTIONS on Information,
vol. E76-D, no. 1, pp. 106-111, January 1993, doi: .
Abstract: This paper describes the linguistic procedure of our speech dialogue system. The procedure is composed of two processes, syntactic analysis using a finite state network, and discourse analysis using a plan recognition model. The finite state network is compiled from regular grammar. The regular grammar is described in order to accept sentences with various styles, for example ellipsis and inversion. The regular grammar is automatically generated from the skeleton of the grammar. The discourse analysis module understands the utterance, generates the next question for users and also predicts words which will be in the next utterance. For an extension number guidance task, we obtained correct recognition results for 93% of input sentences without word prediction and for 98% if prediction results include proper words.
URL: https://global.ieice.org/en_transactions/information/10.1587/e76-d_1_106/_p
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@ARTICLE{e76-d_1_106,
author={Naomi INOUE, Izuru NOGAITO, Masahiko TAKAHASHI, },
journal={IEICE TRANSACTIONS on Information},
title={A Linguistic Procedure for an Extension Number Guidance System},
year={1993},
volume={E76-D},
number={1},
pages={106-111},
abstract={This paper describes the linguistic procedure of our speech dialogue system. The procedure is composed of two processes, syntactic analysis using a finite state network, and discourse analysis using a plan recognition model. The finite state network is compiled from regular grammar. The regular grammar is described in order to accept sentences with various styles, for example ellipsis and inversion. The regular grammar is automatically generated from the skeleton of the grammar. The discourse analysis module understands the utterance, generates the next question for users and also predicts words which will be in the next utterance. For an extension number guidance task, we obtained correct recognition results for 93% of input sentences without word prediction and for 98% if prediction results include proper words.},
keywords={},
doi={},
ISSN={},
month={January},}
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TY - JOUR
TI - A Linguistic Procedure for an Extension Number Guidance System
T2 - IEICE TRANSACTIONS on Information
SP - 106
EP - 111
AU - Naomi INOUE
AU - Izuru NOGAITO
AU - Masahiko TAKAHASHI
PY - 1993
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E76-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 1993
AB - This paper describes the linguistic procedure of our speech dialogue system. The procedure is composed of two processes, syntactic analysis using a finite state network, and discourse analysis using a plan recognition model. The finite state network is compiled from regular grammar. The regular grammar is described in order to accept sentences with various styles, for example ellipsis and inversion. The regular grammar is automatically generated from the skeleton of the grammar. The discourse analysis module understands the utterance, generates the next question for users and also predicts words which will be in the next utterance. For an extension number guidance task, we obtained correct recognition results for 93% of input sentences without word prediction and for 98% if prediction results include proper words.
ER -
English
