Reconstructing ancient literary texts from noisy manuscripts

Moshe Koppel; Moty Michaely; Alex Tal

Reconstructing ancient literary texts from noisy manuscripts

Moshe Koppel, Moty Michaely, Alex Tal

Department of Jewish History

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

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 language	English
Title of host publication	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
Subtitle of host publication	Human Language Technologies, NAACL-HLT 2016
Editors	Anna Feldman, Anna Kazantseva, Stan Szpakowicz
Publisher	Association for Computational Linguistics (ACL)
Pages	40-46
Number of pages	7
ISBN (Electronic)	9781941643808
State	Published - 2016
Event	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 - San Diego, United States Duration: 16 Jun 2016 → …

Publication series

Name	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

Conference

Conference	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
Country/Territory	United States
City	San Diego
Period	16/06/16 → …

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.

ASJC Scopus subject areas

Computer Science Applications
Language and Linguistics
Linguistics and Language
Artificial Intelligence

Cite this

Koppel, M., Michaely, M., & Tal, A. (2016). Reconstructing ancient literary texts from noisy manuscripts. In A. Feldman, A. Kazantseva, & S. Szpakowicz (Eds.), 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 (pp. 40-46). (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). Association for Computational Linguistics (ACL).

Koppel, Moshe ; Michaely, Moty ; Tal, Alex. / Reconstructing ancient literary texts from noisy manuscripts. 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. editor / Anna Feldman ; Anna Kazantseva ; Stan Szpakowicz. Association for Computational Linguistics (ACL), 2016. pp. 40-46 (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).

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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.",

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Koppel, M, Michaely, M & Tal, A 2016, Reconstructing ancient literary texts from noisy manuscripts. in A Feldman, A Kazantseva & S Szpakowicz (eds), 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. 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, Association for Computational Linguistics (ACL), pp. 40-46, 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, San Diego, United States, 16/06/16.

Reconstructing ancient literary texts from noisy manuscripts. / Koppel, Moshe; Michaely, Moty; Tal, Alex.
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. ed. / Anna Feldman; Anna Kazantseva; Stan Szpakowicz. Association for Computational Linguistics (ACL), 2016. p. 40-46 (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).

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

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Koppel M, Michaely M, Tal A. Reconstructing ancient literary texts from noisy manuscripts. In Feldman A, Kazantseva A, Szpakowicz S, editors, 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. Association for Computational Linguistics (ACL). 2016. p. 40-46. (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).

Reconstructing ancient literary texts from noisy manuscripts

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

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