: NLP Vocabulary: noisy channel model

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noisy channel model

Probabilistic framework used in machine translation to model the translation process.

A noisy-channel model that we trained on similar errors in contrast achieves a correction accuracy of up to 69 %. (Laarmann-Quante, Prepens & Zesch, 2022)
From the result of experiments we found noisy channel model very effective for postprocessing. (Chang & Chen, 1995)
It may be that Twitter requires an idiosyncratic adjustment to the noisy-channel model: perhaps the locus of the noise in tweets should not be in comprehension of the tweet per se (or at least not exclusively on comprehension). (Doyle & Frank, 2015)
The noisy channel model states that the observed data e.g. the acoustic signal is the result of some input translated by some unknown stochastic process. (Filimonov & Harper, 2009)
We use the noisy-channel model in our experiments since it is able to generate a list of ranked candidates while the decision-based is not. (Lin, 2003)

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