Machine vs Human Translation of Formal Neologisms in Literature:

2023/12/22 by Laura Noriega-Santiáñez, Gloria Corpas Pastor · 1 voice
Arts and Humanities · Computer Science · #Natural Language Processing Techniques #Translation Studies and Practices

paper · pdf · doi:10.5565/rev/tradumatica.338

openalex publication_date 2023/12/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/23

Abstract

This article compares the output of three neural machine translation systems (Google Translate, DeepL, and Phrase TMS) and human translation (undergraduate level students, English into Spanish). It focuses on five formal neologisms extracted from literary texts, thus considering creativity, and technology adoption and training.

Discussions

• Traducción automática vs. traducción humana de neologismos formales en la literatura:Exploración de las herramientas electrónicas y la creatividad de los estudiantes Laura Noriega-Santiáñez, Gloria Co [bsky, 1 points, 1 comments]

Related

• The Comparison of Translationese in Machine Translation and Human Transation in terms of Translation Relations
• Comparing Formulaic Language in Human and Machine Translation: Insight from a Parliamentary Corpus
• Machine Translation: A Literature Review
• Neural Machine Translation: A Review and Survey
• Machine Translation : From Statistical to modern Deep-learning practices