TY  - JOUR
A1  - Chiarcos, Christian
A1  - Ritz, Julia
A1  - Stede, Manfred
T1  - By all these lovely tokens... Merging conflicting tokenizations
JF  - Language resources and evaluation
N2  - 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.
KW  - Linguistic annotation
KW  - Multi-layer annotation
KW  - Conflicting tokenizations
KW  - Tokenization alignment
KW  - Corpus linguistics
Y1  - 2012
U6  - https://doi.org/10.1007/s10579-011-9161-0
SN  - 1574-020X
VL  - 46
IS  - 1
SP  - 53
EP  - 74
PB  - Springer
CY  - Dordrecht
ER  - 
TY  - JOUR
A1  - Stede, Manfred
A1  - Huang, Chu-Ren
T1  - Inter-operability and reusability the science of annotation
JF  - Language resources and evaluation
N2  - Annotating linguistic data has become a major field of interest, both for supplying the necessary data for machine learning approaches to NLP applications, and as a research issue in its own right. This comprises issues of technical formats, tools, and methodologies of annotation. We provide a brief overview of these notions and then introduce the papers assembled in this special issue.
KW  - Linguistic annotation
KW  - Annotation tools
KW  - Inter-operability
Y1  - 2012
U6  - https://doi.org/10.1007/s10579-011-9164-x
SN  - 1574-020X
VL  - 46
IS  - 1
SP  - 91
EP  - 94
PB  - Springer
CY  - Dordrecht
ER  -