Statistical machine translationEdit
Language models are used in MT for a) scoring arbitrary sequences of words (tokens) and b) given a sequence of tokens, they predict what token will likely to follow the sequence. Formally, language models are probability distributions over sequences of tokens in a given language.
Recently, it was shown that it is possible to use sub-words, characters or even bytes as basic units for language modelling. There are a few events focused particularly on such models and in general, processing language data on sub-word units, e.g. SCLem 2017.
IBM models 1-5Edit
Factored translation modelsEdit
Syntax- and tree-based modelsEdit
Synchronous phrase grammarEdit
Syntactic rules extractionEdit
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