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| Content Provider | ACM Digital Library |
|---|---|
| Author | Goswami, Pankaj K. |
| Abstract | Machine translation engines are helpful to convert translation from one source language to other target language with ease of mind for the native user. The status of machine translation engines is good when it is used only for indicative reference on the resultant translation and least dependency on it. The native user who want to use the machine translation system and highly dependent on it then the quality of translation needs to be well refined. The empirical study proves that the existing machine translation engines for English to Hindi language pair are not exhibiting the fluent and adequate output translation on which the native user may dependent on it. The rigorous testing performed on computer science domain related e-contents on different freely available engines. This study has concluded with certain remarks which will be accounted for development of best architecture of machine translation engines for technical domain e-contents especially for computer science. |
| Starting Page | 1 |
| Ending Page | 4 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450343558 |
| DOI | 10.1145/2910925.2910946 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-05-06 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Fluency and adequacy (f&a) Multi engine machine translation for english to hindi language (memtehil) Rule based machine translation (rbmt) Multi engine machine translation (memt) Example based machine translation (ebmt) Statistical machine translation (smt) Machine translation (mt) |
| Content Type | Text |
| Resource Type | Article |
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