RT info:eu-repo/semantics/bookPart
T1 Annotating article errors in Spanish learner texts: design and evaluation of an annotation scheme
A1 Valverde Ibáñez, Pilar
A1 Ohtani, Akira
AB Annotating a corpus with error information is a challenging task. This paper describes the design, evaluation and refinement of an annotation scheme for Spanish article errors in learner data, so that future work on corpus annotation and automatic article error detection can progress. To evaluate reliability, 300 noun phrases with definite, indefinite and zero article have been tagged by four annotators. We analysed different types of disagreement, presented suggestions to increase reliability and applied the refined annotation scheme to create a gold-standard annotation.
PB Department of Linguistics, Chulalongkorn University
SN 978-616-551-887-1
YR 2014
FD 2014
LK https://uvadoc.uva.es/handle/10324/78032
UL https://uvadoc.uva.es/handle/10324/78032
LA eng
NO Aroonmanakun, W., Supnithi, T. & Boonkwan, P. (Eds.), Proceedings of the 28th Pacific Asia Conference on Language, Information and Computing, Phuket,Thailand, Chulalongkorn University, 2014, p. 234-243
NO Producción Científica
DS UVaDOC
RD 26-sep-2025