The Neural Noisy Channel
(b)
['Model', 'Acc.']
On both datasets, the noisy channel model (channel + LM + bias) does not perform as well as the direct model, but the interpolation of the direct model and noisy channel model (direct + channel + LM + bias) significantly outperforms the direct model. The interpolation of the direct model and language model (direct + LM + bias) achieves better results than the direct model and the noisy channel model on German nouns, but not on German verbs. For further comparison, we also included the state-of-the-art results as benchmarks. NCK15 (DBLP:conf/naacl/NicolaiCK15) tackles the task based on the three-stage approach: (1) align the source and target word, (2) extract inflection rules, (3) apply the rule to new examples. FTND16 (DBLP: conf/naacl/FaruquiTND16) is based on neural sequence to sequence models. Both models (NCK15+ and FTND16 +) rerank the candidate outputs by the scores predicted from n-gram language models, together with other features.