Editing Dictionary-based machine translation (section)

== Example-Based & Dictionary-Based Machine Translation ==
This method of Dictionary-Based Machine translation explores
a different paradigm from systems such as LMT. An [[example-based machine translation]] system is supplied with only a "sentence-aligned bilingual corpus".<ref name=":1">{{Cite web|url = http://www.mt-archive.info/TMI-1997-Brown.pdf|title = Automated Dictionary Extraction for "Knowledge-Free" Example-Based Translation|access-date = 2 November 2015|publisher = Language Technologies Institute (Center for Machine Translation) Carnegie Mellon University Pittsburgh, PA 15213-3890 USA|last = Ralf D. Brown|archive-date = 6 July 2008|archive-url = https://web.archive.org/web/20080706060107/http://www.mt-archive.info/TMI-1997-Brown.pdf|url-status = dead}}</ref>
Using this data the translating program generates a "word-for-word bilingual
dictionary"<ref name=":1" /> which is used for further translation.

Whilst this system would generally be regarded as a whole
different way of machine translation than Dictionary-Based Machine Translation,
it is important to understand the complementing nature of this paradigms. With
the combined power inherent in both systems, coupled with the fact that a
Dictionary-Based Machine Translation works best with a "word-for-word bilingual
dictionary"<ref name=":1" /> lists of words it demonstrates the fact that a coupling of this two
translation engines would generate a very powerful translation tool that is,
besides being semantically accurate, capable of enhancing its own
functionalities via perpetual feedback loops.

A system which combines both paradigms in a way similar to
what was described in the previous paragraph is the Pangloss Example-Based
Machine Translation engine (PanEBMT)<ref name=":1" /> machine translation engine. PanEBMT uses a
correspondence table between languages to create its corpus. Furthermore,
PanEBMT supports multiple incremental operations on its corpus, which facilitates
a biased translation used for filtering purposes.