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By all these lovely tokens... Merging conflicting tokenizations

  • Given the contemporary trend to modular NLP architectures and multiple annotation frameworks, the existence of concurrent tokenizations of the same text represents a pervasive problem in everyday's NLP practice and poses a non-trivial theoretical problem to the integration of linguistic annotations and their interpretability in general. This paper describes a solution for integrating different tokenizations using a standoff XML format, and discusses the consequences from a corpus-linguistic perspective.

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Metadaten
Author:Christian ChiarcosORCiD, Julia Ritz, Manfred StedeGND
DOI:https://doi.org/10.1007/s10579-011-9161-0
ISSN:1574-020X
Parent Title (English):Language resources and evaluation
Publisher:Springer
Place of publication:Dordrecht
Document Type:Article
Language:English
Year of first Publication:2012
Year of Completion:2012
Release Date:2017/03/26
Tag:Conflicting tokenizations; Corpus linguistics; Linguistic annotation; Multi-layer annotation; Tokenization alignment
Volume:46
Issue:1
Pagenumber:22
First Page:53
Last Page:74
Funder:Deutsche Forschungsgemeinschaft (DFG) [(SFB) 632]
Organizational units:Humanwissenschaftliche Fakultät / Institut für Linguistik / Allgemeine Sprachwissenschaft
Peer Review:Referiert