Machine Translation Detection from Monolingual Web-Text

By Yuki Arase, M. Zhou. 2013

40 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Shuly Wintner
2. Felix Stahlberg
3. Ella Rabinovich
4. Lucia Specia
5. Raj Nath Patel
6. Shachar Mirkin
7. Ondrej Bojar
8. Eva Vanmassenhove

Citations in the corpus

• GLTR: Statistical Detection and Visualization of Generated Text (2019, neutral): “Similar methods that detect machine translation (Arase and Zhou, 2013).”
• Personalized Machine Translation: Preserving Original Author Traits (2016, background): “The identification of machine-translated text has also been proven an easy task (Arase and Zhou, 2013; Aharoni et al., 2014).”
• Neural Machine Translation: A Review (2019, background): “Unfortunately, MT training data is usually inherently noisy as it is often extracted (semi-) automatically by crawling the web [446, 447] and therefore commonly contains sentence fragments, wrong languages, misaligned sentence pairs [448], or MT output rather than genuine parallel text [449, 450].”