article · International Journal of Corpus Linguistics · 1998
The Linguistic Annotation of Corpora: The TOSCA Analysis System
Jan Aarts, Hans van Halteren, Nelleke H. J. Oostdijk
Cited by 7Abstract and details only
Abstract
The article discusses the role of linguistic annotation in corpus linguistics as opposed to annotation in natural language processing. In corpus linguistics, annotation is an integral part of the process of linguistic interpretation and description of the data. Tagging and parsing are discussed as the automatic counterparts of, respectively, the paradigmatic and the syntagmatic description of corpus data. The requirements for a corpus linguistic annotation system are considered. An account is given of the TOSCA analysis system as representative of such an annotation system. Performance results of the system are given, and an evaluation is made.
Cite this paper
Aarts, J., van Halteren, H., & Oostdijk, N. H. J. (1998). The Linguistic Annotation of Corpora: The TOSCA Analysis System. International Journal of Corpus Linguistics, 3(2), 189–210. https://doi.org/10.1075/ijcl.3.2.02aar
Aarts, Jan, et al. “The Linguistic Annotation of Corpora: The TOSCA Analysis System.” International Journal of Corpus Linguistics, vol. 3, no. 2, 1998, pp. 189–210, https://doi.org/10.1075/ijcl.3.2.02aar.
Aarts, Jan, Hans van Halteren, and Nelleke H. J. Oostdijk. 1998. “The Linguistic Annotation of Corpora: The TOSCA Analysis System.” International Journal of Corpus Linguistics 3 (2): 189–210. https://doi.org/10.1075/ijcl.3.2.02aar.
Aarts, J., van Halteren, H. and Oostdijk, N.H.J. (1998) ‘The Linguistic Annotation of Corpora: The TOSCA Analysis System’, International Journal of Corpus Linguistics, 3(2), pp. 189–210. Available at: https://doi.org/10.1075/ijcl.3.2.02aar.
@article{aarts1998linguistic,
title = {{The Linguistic Annotation of Corpora: The TOSCA Analysis System}},
author = {Aarts, Jan and van Halteren, Hans and Oostdijk, Nelleke H. J.},
journal = {International Journal of Corpus Linguistics},
volume = {3},
number = {2},
pages = {189--210},
year = {1998},
doi = {10.1075/ijcl.3.2.02aar}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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