Name
Abstract | ||
|---|---|---|
This paper presents a range of preprocessing solutions for Hebrew-English statistical machine translation. Our best system, using a morphological analyzer, increases 3.5 BLEU points over a no-tokenization baseline on a blind test set. The next best system uses Morfessor, an unsupervised morphological segmenter, and obtains almost 3.0 BLEU points over the baseline. |
Year | Venue | DocType |
|---|---|---|
2012 | EAMT | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nimesh Singh | 1 | 0 | 0.34 |
| Nizar Habash | 2 | 0 | 1.35 |