Name
Abstract | ||
|---|---|---|
We propose a number of refinements to the canonical approach to interactive translation prediction. By more permissive matching criteria, placing emphasis on matching the last word of the user prefix, and dealing with predictions to partially typed words, we observe gains in both word prediction accuracy (+5.4%) and letter prediction accuracy (+9.3%). |
Year | Venue | Field |
|---|---|---|
2014 | PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 2 | Graph,Computer science,Machine translation,Theoretical computer science,Prefix,Artificial intelligence,Natural language processing,Machine learning |
DocType | Volume | Citations |
Conference | P14-2 | 3 |
PageRank | References | Authors |
0.42 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Philipp Koehn | 1 | 7684 | 431.77 |
| Chara Tsoukala | 2 | 17 | 2.16 |
| Herve Saint-Amand | 3 | 54 | 3.98 |