A multi-agent computational linguistic approach to speech recognition

Michael Walsh; Robert Kelly; Gregory M.R. O'Hare; Julie Carson-Berndsen; Tarek Abu-Amer

A multi-agent computational linguistic approach to speech recognition

Michael Walsh
, Robert Kelly
, Gregory M.R. O'Hare
, Julie Carson-Berndsen
, Tarek Abu-Amer

University College Dublin

Research output: Contribution to journal › Article › peer-review

Abstract

This paper illustrates how a multi-agent system implements and governs a computational linguistic model of phonology for syllable recognition. We describe how the Time Map model can be recast as a multi-agent architecture and discuss how constraint relaxation, output extrapolation, parse-tree pruning, clever task allocation, and distributed processing are all achieved in this new architcture.

Original language	English
Pages (from-to)	1477-1479
Number of pages	3
Journal	IJCAI International Joint Conference on Artificial Intelligence
Publication status	Published - 2003
Externally published	Yes
Event	18th International Joint Conference on Artificial Intelligence, IJCAI 2003 - Acapulco, Mexico Duration: 9 Aug 2003 → 15 Aug 2003

Cite this

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title = "A multi-agent computational linguistic approach to speech recognition",

abstract = "This paper illustrates how a multi-agent system implements and governs a computational linguistic model of phonology for syllable recognition. We describe how the Time Map model can be recast as a multi-agent architecture and discuss how constraint relaxation, output extrapolation, parse-tree pruning, clever task allocation, and distributed processing are all achieved in this new architcture.",

author = "Michael Walsh and Robert Kelly and O'Hare, \{Gregory M.R.\} and Julie Carson-Berndsen and Tarek Abu-Amer",

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journal = "IJCAI International Joint Conference on Artificial Intelligence",

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AU - Kelly, Robert

AU - O'Hare, Gregory M.R.

AU - Carson-Berndsen, Julie

AU - Abu-Amer, Tarek

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AB - This paper illustrates how a multi-agent system implements and governs a computational linguistic model of phonology for syllable recognition. We describe how the Time Map model can be recast as a multi-agent architecture and discuss how constraint relaxation, output extrapolation, parse-tree pruning, clever task allocation, and distributed processing are all achieved in this new architcture.

UR - https://www.scopus.com/pages/publications/84880766051

M3 - Article

AN - SCOPUS:84880766051

SN - 1045-0823

SP - 1477

EP - 1479

JO - IJCAI International Joint Conference on Artificial Intelligence

JF - IJCAI International Joint Conference on Artificial Intelligence

T2 - 18th International Joint Conference on Artificial Intelligence, IJCAI 2003

Y2 - 9 August 2003 through 15 August 2003

ER -

A multi-agent computational linguistic approach to speech recognition

Abstract

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