Name
Title | ||
|---|---|---|
Reinforcing English countability prediction with one countability per discourse property |
Abstract | ||
|---|---|---|
Countability of English nouns is important in various natural language processing tasks. It especially plays an important role in machine translation since it determines the range of possible determiners. This paper proposes a method for reinforcing countability prediction by introducing a novel concept called one countability per discourse. It claims that when a noun appears more than once in a discourse, they will all share the same countability in the discourse. The basic idea of the proposed method is that mispredictions can be correctly overridden using efficiently the one countability per discourse property. Experiments show that the proposed method successfully reinforces countability prediction and outperforms other methods used for comparison. |
Year | Venue | Keywords |
|---|---|---|
2006 | ACL | basic idea,important role,possible determiner,english countability prediction,various natural language processing,english noun,countability prediction,machine translation,discourse property,novel concept,noun,natural language processing |
Field | DocType | Citations |
Countable set,Computer science,Noun,Machine translation,Artificial intelligence,Natural language processing,Linguistics | Conference | 1 |
PageRank | References | Authors |
0.35 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ryo Nagata | 1 | 22 | 1.84 |
| Koichiro Morihiro | 2 | 57 | 7.73 |
| Atsuo Kawai | 3 | 42 | 6.95 |
| Naoki Isu | 4 | 35 | 5.22 |