Licensing and Usage Rights of Language Data in Machine Translation

Author:

Forcada Mikel L.

Publisher

Springer International Publishing

Reference30 articles.

1. Agić Ž, Vulić I (2020) JW300: a wide-coverage parallel corpus for low-resource languages. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pp 3204–3210. https://doi.org/10.17863/CAM.44029

2. Arranz V, Choukri K, Hamon O, Bel N, Tsiavos P (2013) PANACEA project deliverable 2.4, annex 1: Issues related to data crawling and licensing [project deliverable]. http://cordis.europa.eu/docs/projects/cnect/4/248064/080/deliverables/001-PANACEAD24annex1.pdf

3. Artetxe M, Labaka G, Aguirre E, Cho K (2018) Unsupervised neural machine translation. In: Proceedings of ICLR 2018, the International Conference on Learning Representations. https://openreview.net/forum?id=Sy2ogebAW

4. Bel N, Forcada ML, Gómez-Pérez A (2016) A maturity model for public administration as open translation data providers. ArXiv:1607.01990. https://arxiv.org/pdf/1607.01990.pdf

5. Bowker L (2002) Computer-aided translation technology: a practical introduction. University of Ottawa Press, Ottawa, ON

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