2026-05-05T13:22:09Zhttps://uvadoc.uva.es/oai/request

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

Valverde Ibáñez, Pilar Ohtani, Akira 2014 Producción Científica 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. application/pdf https://uvadoc.uva.es/handle/10324/78032 eng Department of Linguistics, Chulalongkorn University Annotating article errors in Spanish learner texts: design and evaluation of an annotation scheme info:eu-repo/semantics/bookPart TEXT UVaDOC. Repositorio Documental de la Universidad de Valladolid Hispana