Using rejuvenation to improve particle filtering for Bayesian word segmentation

Benjamin Börschinger, Mark Johnson

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

8 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 languageEnglish
Title of host publicationProceedings of the 50th Annual Meeting of the Association for Computational Linguistics
Subtitle of host publicationShort Papers - Volume 2
Place of PublicationStroudsburg, PA
PublisherACM
Pages85-89
Number of pages5
Volume2
ISBN (Print)9781937284251
Publication statusPublished - Jul 2012
Event50th Annual Meeting of the Association for Computational Linguistics, ACL - 2012 - Jeju Island, Korea, Republic of
Duration: 8 Jul 201214 Jul 2012

Other

Other50th Annual Meeting of the Association for Computational Linguistics, ACL - 2012
CountryKorea, Republic of
CityJeju Island
Period8/07/1214/07/12

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