Name
Abstract | ||
|---|---|---|
Machine Translation is one of the most challenging tasks in natural language processing. Statistical machine translation (SMT) looks into the translation of natural language as a machine learning problem. Since, the advent of globalization need for cross language translator has increased. English has emerged as most popular language on World Wide Web. The developing regions still strive to access the information in local languages. Translation of English into local languages can make information flow easier. This paper is on undergoing research for design and development of a cross language system from English to Sanskrit to make the same convenient. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/1980022.1980161 | ICWET |
Keywords | Field | DocType |
machine translation,statistical machine translation,popular language,sanskrit machine translation,natural language processing,local language,cross language system,information flow,cross language translator,natural language,world wide web,machine learning,sanskrit,translation theory,analysis | Rule-based machine translation,Example-based machine translation,Computer science,Machine translation,Natural language,Machine translation software usability,Artificial intelligence,Universal Networking Language,Natural language processing,Computer-assisted translation,Language industry | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| promila bahadur | 1 | 0 | 0.34 |
| Ajai Jain | 2 | 34 | 2.98 |
| Durg Singh Chauhan | 3 | 132 | 21.73 |