Name
Title | ||
|---|---|---|
Using crowdsourcing system for creating site-specific statistical machine translation engine. |
Abstract | ||
|---|---|---|
A crowdsourcing translation approach is an effective tool for globalization of site content, but it is also an important source of parallel linguistic data. For the given site, processed with a crowdsourcing system, a sentence-aligned corpus can be fetched, which covers a very narrow domain of terminology and language patterns - a site-specific domain. These data can be used for training and estimation of site-specific statistical machine translation engine |
Year | Venue | Field |
|---|---|---|
2014 | arXiv: Computation and Language | Rule-based machine translation,Example-based machine translation,Terminology,Computer science,Crowdsourcing,Machine translation,Machine translation software usability,Natural language processing,Artificial intelligence,Transfer-based machine translation,Computer-assisted translation |
DocType | Volume | Citations |
Journal | abs/1409.5502 | 0 |
PageRank | References | Authors |
0.34 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander Kalinin | 1 | 77 | 5.33 |
| George Savchenko | 2 | 0 | 0.34 |