Reconstructing ancient literary texts from noisy manuscripts

Moshe Koppel, Moty Michaely, Alex Tal

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

5 Scopus citations

Abstract

Given multiple corrupted versions of the same text, as is common with ancient manuscripts, we wish to reconstruct the original text from which the extant corrupted versions were copied (typically via latent intermediary versions). This is a challenge of cardinal importance in the humanities. We use a variant of expectation-maximization (EM), to solve this problem. We prove the efficacy of our method on both synthetic and real-world data.

Original languageEnglish
Title of host publicationProceedings of the 5th Workshop on Computational Linguistics for Literature, CLfL 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics
Subtitle of host publicationHuman Language Technologies, NAACL-HLT 2016
EditorsAnna Feldman, Anna Kazantseva, Stan Szpakowicz
PublisherAssociation for Computational Linguistics (ACL)
Pages40-46
Number of pages7
ISBN (Electronic)9781941643808
StatePublished - 2016
Event5th Workshop on Computational Linguistics for Literature, CLfL 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016 - San Diego, United States
Duration: 16 Jun 2016 → …

Publication series

NameProceedings of the 5th Workshop on Computational Linguistics for Literature, CLfL 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016

Conference

Conference5th Workshop on Computational Linguistics for Literature, CLfL 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016
Country/TerritoryUnited States
CitySan Diego
Period16/06/16 → …

Bibliographical note

Publisher Copyright:
© 2016 Proceedings of the 5th Workshop on Computational Linguistics for Literature, CLfL 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016. All rights reserved.

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