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This Concept Map, created with IHMC CmapTools, has information related to: Cmap5 Machine Learning & Bayes Theorem (IKI), IBM Model 1-5 use parameters times every word, probability of hypothesis goes like P(A|B) = P(B|A)P(A) / P(B), translation uses Rough Translation, calculating what word is meant needed corpus, corpus such as dictionary, Interlingual Machine Translation translate every language to 1 universal language, translation uses Restricted-source Translation, Bayes theorem & Natural Language Processing used for Speech Recognition, Interlingual Machine Translation use KANT- System, Statistical Machine Translation uses language model, translation model example IBM Model 1-5, Speech Recognition application Voice activated typewriter, IBM Model 1-5 use fertility, Voice activated typewriter use probabilty of a word occurs in speech signal, Memory-Based Machine Translation works by transferring one sentence directly into another, calculating what word is meant needed machine learning, calculating what word is meant for language interpretation, translation types Statistical Machine Translation, calculating what word is meant needed keyboard layout, language interpretation example spell checking