Comparing rule-based and SMT-based spelling normalisation for English historical texts
Schneider, Gerold
;
Pettersson, Eva
;
Percillier, Michael
URL:
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http://www.ep.liu.se/ecp/133/008/ecp17133008.pdf
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Additional URL:
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http://aclweb.org/anthology/W17-05
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Document Type:
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Conference or workshop publication
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Year of publication:
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2017
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Book title:
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Proceedings of the NoDaLiDa 2017 Workshop on Processing Historical Language : 22 May 2017, Gothenburg
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The title of a journal, publication series:
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NEALT Proceedings Series
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Volume:
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32
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Page range:
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40-46
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Conference title:
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NoDaLiDa 2017 Workshop on Processing Historical Language
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Location of the conference venue:
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Göteburg, Sweden
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Date of the conference:
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22.05.2017
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Publisher:
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Bouma, Gerlof
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Place of publication:
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Linköping
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Publishing house:
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Linköping University Electronic Press
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ISBN:
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978-91-7685-503-4
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ISSN:
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1650-3686 , 1650-3740
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Publication language:
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English
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Institution:
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School of Humanities > Anglistik IV - Anglistische Linguistik/Diachronie (Trips 2006-)
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Subject:
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420 English
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Abstract:
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To be able to use existing natural language processing tools for analysing historical text, an important preprocessing step is spelling normalisation, converting the original spelling to present-day spelling, before applying tools such as taggers and parsers. In this paper, we compare a probablistic, language-independent approach to spelling normalisation based on statistical machine translation (SMT) techniques, to a rule-based system combining dictionary lookup with rules and non-probabilistic weights. The rule-based system reaches the best accuracy, up to 94% precision at 74% recall, while the SMT system improves each tested period.
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Additional information:
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Linköping Electronic Conference Proceedings ; 133. - Online-Ressource
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| Dieser Eintrag ist Teil der Universitätsbibliographie. |
Search Authors in
BASE:
Schneider, Gerold
;
Pettersson, Eva
;
Percillier, Michael
Google Scholar:
Schneider, Gerold
;
Pettersson, Eva
;
Percillier, Michael
ORCID:
Schneider, Gerold, Pettersson, Eva and Percillier, Michael ORCID: https://orcid.org/0000-0002-5195-3501
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