Ternary segmentation for improving search in top-down induction of segmental ITGs

Markus Saers, Dekai Wu

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

Abstract

We show that there are situations where iteratively segmenting sentence pairs top-down will fail to reach valid segments and propose a method for alleviating the problem. Due to the enormity of the search space, error analysis has indicated that it is often impossible to get to a desired embedded segment purely through binary segmentation that divides existing segmental rules in half – the strategy typically employed by existing search strategies – as it requires two steps. We propose a new method to hypothesize ternary segmentations in a single step, making the embedded segments immediately discoverable.

Original languageEnglish
Title of host publicationProceedings of SSST 2014 - 8th Workshop on Syntax, Semantics and Structure in Statistical Translation
EditorsDekai Wu, Marine Carpuat, Xavier Carreras, Eva Maria Vecchi
PublisherAssociation for Computational Linguistics (ACL)
Pages86-93
Number of pages8
ISBN (Electronic)9781937284961
DOIs
Publication statusPublished - 2014
Event8th Workshop on Syntax, Semantics and Structure in Statistical Translation, SSST 2014 - Doha, Qatar
Duration: 25 Oct 2014 → …

Publication series

NameProceedings of SSST 2014 - 8th Workshop on Syntax, Semantics and Structure in Statistical Translation

Conference

Conference8th Workshop on Syntax, Semantics and Structure in Statistical Translation, SSST 2014
Country/TerritoryQatar
CityDoha
Period25/10/14 → …

Bibliographical note

Publisher Copyright:
© 2014 Association for Computational Linguistics

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