Character-Based Pivot Translation for Under-Resourced Languages and Domains

By Jörg Tiedemann. 2012

56 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. Raj Dabre
2. Chenhui Chu
3. Anoop Kunchukuttan
4. Shuhao Gu
5. Marlies van der Wees
6. David Vilar
7. Zhilin Yang
8. Yang Feng

Citations in the corpus

• A Survey of Multilingual Neural Machine Translation (2019, methodology): “Combining subword-level representation and pivoting for translation among related languages has been explored (Henr´ıquez et al., 2011; Tiedemann, 2012a; Kunchukuttan et al., 2017).”