Tags for Identifying Languages

By A. Phillips, Mark Davis. 2009

139 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

How researchers see this paper

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

In Artificial Intelligence

1. Julia Kreutzer
2. Orhan Firat
3. Ankur Bapna
4. Artem Sokolov
5. Isaac Caswell
6. Sneha Kudugunta
7. Toan Q. Nguyen
8. Graham Neubig

In Information Systems

1. Stella Biderman
2. Ankur Bapna
3. Pedro Ortiz Suarez
4. Yacine Jernite
5. Artem Sokolov
6. Orhan Firat
7. Julia Kreutzer
8. Sneha Kudugunta

Citations in the corpus

• Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets (2021, background): “The standard for unambiguous language codes used by most academic and industry applications is BCP-47 (Phillips and Davis, 2006), which builds off the two-letter ISO639-2 codes and three-letter ISO639-3 codes.”
• Investigating Multilingual NMT Representations at Scale (2019, neutral): “For brevity, we label languages in images with their BCP-47 language codes (Phillips and Davis, 2009), which are enumerated in the Appendix, Table 3.”