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N-Gram Language Models

All competitive statistical machine translation systems use n-gram language models that predict the probability of a word from a maximum window of proceeding words.

N Gram Language Models is the main subject of 7 publications.

Topics in LanguageModels

N Gram Language Models | Targeted Language Models | Morphological Language Models | Very Large Language Models

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The most commonly used discount methods to smooth language models are proposed by Good (1953) — see also the description by Gale and Sampson (1995) —, Witten and Bell (1991), as well as Kneser and Ney (1995). A good introduction to the topic of language modelling is given by Chen and Goodman (1998).
Instead of training language models, large corpora can be also exploited by checking if potential translations occur in them as sentences (Soricut et al., 2002).

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  • Freitag et al. (2013)

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