Interlingual Machine Translation

By R. H. Richens. 1958

Subfields: Natural Language Processing, Machine Translation

How researchers see this paper

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

In Natural Language Processing

1. Graham Neubig
2. Orhan Firat
3. Yonghui Wu
4. Melvin Johnson
5. Quoc V. Le
6. Felix Stahlberg
7. Mohit Bansal
8. Ankur Bapna

In Machine Translation

1. Graham Neubig
2. Nancy Ide
3. Melvin Johnson
4. Jean Véronis
5. Z. Chen
6. Tom Michael Mitchell
7. Yonghui Wu
8. Ye Jia

Citations in the corpus

• Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation (2016, methodology): “Interlingual translation is a classic method in machine translation [21, 14].”
• Contextual Parameter Generation for Universal Neural Machine Translation (2018, background): “Interlingual translation (Richens, 1958) has been the object of many research efforts.”
• Word Sense Disambiguation: The State of the Art (2005, methodology): “Building on this and work on semantic networks by Richens (1958), Quillian (1961, 1962a and b, 1967, 1968, 1969) built a network that includes links among words ( " tokens " ) and concepts ( " types " ), in which links are labeled with various semantic relations or simply indicate associations…”