2026-06-27T16:26:23Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/1102622025-07-16T14:21:05Zcom_20.500.14352_14col_20.500.14352_15

Lavid López, María Julia Arús Hita, Jorge Hoste, Veronique DeClerck, Bernard 2024-11-07T17:52:11Z 2024-11-07T17:52:11Z 2015 Lavid, Julia, et al. «Creation of a High-quality, Register-diversified Parallel (English-Spanish) Corpus for Linguistic and Computational Investigations». Procedia : Social and Behavioral Sciences, vol. 198, 2015, pp. 249-256. ScienceDirect, https://doi.org/10.1016/j.sbspro.2015.07.443. 1877-0428 10.1016/j.sbspro.2015.07.443 https://hdl.handle.net/20.500.14352/110262 https://www.sciencedirect.com/science/article/pii/S1877042815044444 https://www.sciencedirect.com/journal/procedia-social-and-behavioral-sciences https://www.sciencedirect.com/ https://www.elsevier.com/ https://doi.org/10.1016/j.sbspro.2015.07.552 This paper outlines current work on the construction of a high-quality, richly-annotated and register-diversified parallel corpus for the English-Spanish language pair, as currently carried out within the framework of the MULTINOT project. The corpus consists of original and translated texts in both directions and is designed as a multifunctional resource to be used in a number of disciplines such as corpus-based contrastive linguistic and translation studies, machine translation, computer-assisted translation, computer-assisted language learning and terminology extraction. The paper describes the structure of the corpus –which includes four subcorpora: English originals (EO) and Spanish originals (SO), English translations (Etrans) and Spanish translations (Strans)-, the registers selected for inclusion in the corpus, and the methodology used to guarantee the quality of the processing steps to enrich the corpus with linguistic information at different levels. eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 International Creation of a high-quality, register-diversified parallel (English- Spanish) corpus for linguistic and computational investigations journal article