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oai:uvadoc.uva.es:10324/780322025-09-23T19:04:11Zcom_10324_1174com_10324_931com_10324_894col_10324_1343

00925njm 22002777a 4500 dc Valverde Ibáñez, Pilar author Ohtani, Akira author 2014 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. 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. 234-243 978-616-551-887-1 https://uvadoc.uva.es/handle/10324/78032 234 243 Proceedings of the 28th Pacific Asia Conference on Language, Information and Computing Annotating article errors in Spanish learner texts: design and evaluation of an annotation scheme