Name
Title | ||
|---|---|---|
Neural Machine Translation Advised By Statistical Machine Translation: The Case Of Farsi-Spanish Bilingually Low-Resource Scenario |
Abstract | ||
|---|---|---|
In this paper, we propose a sequence-to-sequence NMT model on Farsi-Spanish bilingually low-resource language pair. We apply effective preprocessing steps specific for Farsi language and optimize the model for both translation and transliteration. We also propose a loss function that enhances the word alignment and consequently improves translation quality. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICMLA.2018.00196 | 2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA) |
Keywords | Field | DocType |
natural language processing, neural machine translation, statistical machine translation | Task analysis,Computer science,Machine translation,Farsi language,Recurrent neural network,Preprocessor,Artificial intelligence,Natural language processing,Decoding methods,Machine learning,Transliteration | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benyamin Ahmadnia | 1 | 0 | 1.01 |
| Parisa Kordjamshidi | 2 | 143 | 18.52 |
| Gholamreza Haffari | 3 | 381 | 59.13 |