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Example-based machine translation
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<p>Example-based machine translation (EBMT) is a method of <a href="/facts/Machine_translation/DGF3NwuI">machine translation</a> often characterized by its use of a bilingual <a href="/facts/Text_corpus/bYeEQQdh">corpus</a> with <a href="/facts/Parallel_text/aHQwRdBm">parallel texts</a> as its main knowledge base at run-time. It is essentially a translation by <a href="/facts/Analogy/LYcGaTdm">analogy</a> and can be viewed as an implementation of a <a href="/facts/Case-based_reasoning/JkxLXCqF">case-based reasoning</a> approach to <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a>. </p>