Graded Acceptance in Corpus-Based English-to-Spanish Machine Translation Evaluation

• Autores: Mario Crespo Miguel, Marta Sánchez-Saus Laserna
• Localización: CILC2016: 8th International Conference on Corpus Linguistics / Antonio Moreno Ortiz (ed. lit.), Chantal Pérez Hernández (ed. lit.), 2016, págs. 58-70
• Idioma: inglés
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• Resumen

  • Traditionally, texts provided by machine translation have been evaluated with a binary criterion: right or wrong. However, in certain cases it is difficult to provide a clear-cut division between fully acceptable and fully unacceptable texts. In this paper we have selected group of different bilingual, human-translated English-to-Spanish pairs of sentences from parallel corpora (Linguee) and a group of machine translated texts with problematic linguistic phenomena in English-to-Spanish translation: polysemy, semantic equivalents, passive, anaphora, etc. We presented the translations to a group of native speakers that evaluated them in different levels of acceptability. Results show the degree of applicability of this approach.