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Machine Translation

Technologies, corpora, and evaluation techniques

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This is a discussion community for machine translation (MT), the automated analysis of text in a source natural language in order to produce an equivalent text in some other target natural language.

As the Wikipedia entry for MT notes:
Currently the state of machine translation is such that it involves some human intervention, as it requires a pre-editing and a post-editing phase. Note that in machine translation, the translator supports the machine and not the other way around.

Nowadays most machine translation systems produce what is called a "gisting translation" — a rough translation that gives the "gist" of the source text, but is not otherwise usable.

However, in fields with highly limited ranges of vocabulary and simple sentence structure, for example weather reports, machine translation can deliver useful results.

Currently the state of machine translation is such that it involves some human intervention, as it requires a pre-editing and a post-editing phase. Note that in machine translation, the translator supports the machine and not the other way around.

Nowadays most machine translation systems produce what is called a "gisting translation" — a rough translation that gives the "gist" of the source text, but is not otherwise usable.

All aspects of MT, including statistical methodologies, interactive (human-assisted and human-assisting) MT, document categorization, compiler technology, natural language processing (NLP) and understanding, and linguistic approaches, are welcome topics.

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