• Corpus ID: 202628837

Lost in translation : fidelity-focused machine translation evaluation

@inproceedings{2019LostIT,
  title={Lost in translation : fidelity-focused machine translation evaluation},
  author={},
  year={2019}
}
  • Published 2019
  • Computer Science
Translation is a universal problem which has applications in many contexts. Source texts are frequently translated from one language to another to aid communication across the world. Machine translations are one of the most popular applications of natural language processing. Evaluating the quality of a translation, particularly machine translation, is traditionally done by a human annotator, which remains the “gold standard” of the field. This is typically based off factors of adequacy and…