Statistical Machine Translation (1999)
| Venue: | Final Report, JHU Summer Workshop |
| Citations: | 67 - 9 self |
BibTeX
@TECHREPORT{Al-onaizan99statisticalmachine,
author = {Yaser Al-onaizan and Jan Curin and Michael Jahr and Kevin Knight and John Lafferty and Dan Melamed and Franz-Josef Och and David Purdy and Noah A. Smith and David Yarowsky},
title = {Statistical Machine Translation},
institution = {Final Report, JHU Summer Workshop},
year = {1999}
}
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Abstract
Automatic translation from one human language to another using computers, better known as machine translation (MT), is a longstanding goal of computer science. In order to be able to perform such a task, the computer must "know" the two languages---synonyms for words and phrases, grammars of the two languages, and semantic or world knowledge. One way to incorporate such knowledge into a computer is to use bilingual experts to hand-craft the necessary information into the computer program. Another is to let the computer learn some of these things automatically by examining large amounts of parallel text: documents which are translations of each other. The Canadian government produces one such resource, for example, in the form of parliamentary proceedings which are recorded in both English and French. Recently, statistical data analysis has been used to gather MT knowledge automatically from parallel bilingual text. Unfortunately, these techniques and tools have not been dissem...
