The corpus of Basque simplified texts (CBST)

• Published in: Language resources and evaluation Vol. 52; no. 1; pp. 217 - 247
• Main Authors: Gonzalez-Dios, Itziar, Aranzabe, María Jesús, Díaz de Ilarraza, Arantza
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01-03-2018; Springer Nature B.V
• Subjects: Annotations; Basque language; Computational Linguistics; Computer Science; Corpus analysis; Corpus linguistics; Language and Literature; Linguistics; Machine learning; Sentences; Simplified language; Social Sciences; Texts; Translators; Basque; Monolingual parallel corpora; Text simplification; Annotation scheme
• ISSN: 1574-020X; 1574-0218
• DOI: 10.1007/s10579-017-9407-6

In this paper we present the corpus of Basque simplified texts. This corpus compiles 227 original sentences of science popularisation domain and two simplified versions of each sentence. The simplified versions have been created following different approaches: the structural, by a court translator who considers easy-to-read guidelines and the intuitive, by a teacher based on her experience. The aim of this corpus is to make a comparative analysis of simplified text. To that end, we also present the annotation scheme we have created to annotate the corpus. The annotation scheme is divided into eight macro-operations: delete, merge, split, transformation, insert, reordering, no operation and other. These macro-operations can be classified into different operations. We also relate our work and results to other languages. This corpus will be used to corroborate the decisions taken and to improve the design of the automatic text simplification system for Basque.