Machine translation systems in social service settings: the case of legal and administrative translation (French-Spanish)

Authors

  • María del Mar Sánchez Ramos Departamento de Filología Moderna, Facultad de Filosofía y Letras, Universidad de Alcalá
  • Raymonda Cerasela Nodis Departamento de Filología Moderna, Facultad de Filosofía y Letras, Universidad de Alcalá

DOI:

https://doi.org/10.7764/onomazein.56.01

Keywords:

machine translation, public service settings, machine translation evaluation, rulebased machine translation systems, neural-based machine translation system

Abstract

From the very beginning, machine translation (MT) represents a significant advance in our society despite of the difficulties encountered in its way. Nowadays, different MT systems are used in private and public sectors in response to the increasing translation demand. This paper presents the quantitative and qualitative results obtained from the evaluation of two different MT systems—rule-based and neural-based MT systems—within the field of legal and administrative translation in public service interpreting and translation (PSIT). For this purpose, COSTA MT Evaluation Tool will be used.

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Published

2022-09-06

How to Cite

Sánchez Ramos, M. del M., & Cerasela Nodis, R. (2022). Machine translation systems in social service settings: the case of legal and administrative translation (French-Spanish). Onomázein, (56), 01–18. https://doi.org/10.7764/onomazein.56.01

Issue

No. 56 (2022): June

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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