Quantitative analysis of English - Spanish translations post-edited by institutional translators
DOI:
https://doi.org/10.24310/ertci.14.2024.17678Keywords:
post-editing, machine translation, text length, lexical richnessAbstract
Human post-editing of machine translation keeps growing in the professional translation sector and is getting increasingly prominent in the academic world. However, there is limited research focused on professional practice in specific language combinations that may be used to create training materials for prospective professionals. In this article, we present our findings from quantitative analyses of texts that were translated from a variety of English-language sources into Spanish by the neural machine translation system eTranslation and post-edited by experienced translators from the Directorate-General for Translation of the European Commission. We discuss our findings regarding the use of automated suggestions, text length, and lexical richness.
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