Using rejuvenation to improve particle filtering for Bayesian word segmentation

Benjamin Börschinger; Mark Johnson

Using rejuvenation to improve particle filtering for Bayesian word segmentation

Benjamin Börschinger, Mark Johnson

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

10 Citations (Scopus)

Abstract

We present a novel extension to a recently proposed incremental learning algorithm for the word segmentation problem originally introduced in Goldwater (2006). By adding rejuvenation to a particle filter, we are able to considerably improve its performance, both in terms of finding higher probability and higher accuracy solutions.

Original language	English
Title of host publication	Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics
Subtitle of host publication	Short Papers - Volume 2
Place of Publication	Stroudsburg, PA
Publisher	ACM
Pages	85-89
Number of pages	5
Volume	2
ISBN (Print)	9781937284251
Publication status	Published - Jul 2012
Event	50th Annual Meeting of the Association for Computational Linguistics, ACL - 2012 - Jeju Island, Korea, Republic of Duration: 8 Jul 2012 → 14 Jul 2012

Other

Other	50th Annual Meeting of the Association for Computational Linguistics, ACL - 2012
Country/Territory	Korea, Republic of
City	Jeju Island
Period	8/07/12 → 14/07/12

Cite this

@inproceedings{c1c729571f994fe784d034b0f27d984a,

title = "Using rejuvenation to improve particle filtering for Bayesian word segmentation",

abstract = "We present a novel extension to a recently proposed incremental learning algorithm for the word segmentation problem originally introduced in Goldwater (2006). By adding rejuvenation to a particle filter, we are able to considerably improve its performance, both in terms of finding higher probability and higher accuracy solutions.",

author = "Benjamin B{\"o}rschinger and Mark Johnson",

year = "2012",

month = jul,

language = "English",

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pages = "85--89",

booktitle = "Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics",

publisher = "ACM",

note = "50th Annual Meeting of the Association for Computational Linguistics, ACL - 2012 ; Conference date: 08-07-2012 Through 14-07-2012",

}

Börschinger, B & Johnson, M 2012, Using rejuvenation to improve particle filtering for Bayesian word segmentation. in Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2. vol. 2, ACM, Stroudsburg, PA, pp. 85-89, 50th Annual Meeting of the Association for Computational Linguistics, ACL - 2012, Jeju Island, Korea, Republic of, 8/07/12.

Using rejuvenation to improve particle filtering for Bayesian word segmentation. / Börschinger, Benjamin; Johnson, Mark.

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2. Vol. 2 Stroudsburg, PA : ACM, 2012. p. 85-89.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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T1 - Using rejuvenation to improve particle filtering for Bayesian word segmentation

AU - Börschinger, Benjamin

AU - Johnson, Mark

PY - 2012/7

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AB - We present a novel extension to a recently proposed incremental learning algorithm for the word segmentation problem originally introduced in Goldwater (2006). By adding rejuvenation to a particle filter, we are able to considerably improve its performance, both in terms of finding higher probability and higher accuracy solutions.

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M3 - Conference proceeding contribution

AN - SCOPUS:84878213026

SN - 9781937284251

VL - 2

SP - 85

EP - 89

BT - Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics

PB - ACM

CY - Stroudsburg, PA

T2 - 50th Annual Meeting of the Association for Computational Linguistics, ACL - 2012

Y2 - 8 July 2012 through 14 July 2012

ER -

Using rejuvenation to improve particle filtering for Bayesian word segmentation

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