These chapters provide solid descriptions of applying these techniques and the performance gains that can be achieved, a useful contribution for anyone seeking to augment their existing decoder.
in "Linguistically Enriched Word-Sequence Kernels for Discriminative Language Modeling," Pierre Mahé and Nicola Cancedda demonstrate the use of string kernels for language modeling, evaluating a number of kernels including one able to integrate a range of factors (surface form, lemma, part-of-speech).