  The paper investigates the use of richer syntactic dependencies in the
structured language model (SLM). We present two simple methods of enriching the
dependencies in the syntactic parse trees used for intializing the SLM. We
evaluate the impact of both methods on the perplexity (PPL) and
word-error-rate(WER, N-best rescoring) performance of the SLM. We show that the
new model achieves an improvement in PPL and WER over the baseline results
reported using the SLM on the UPenn Treebank and Wall Street Journal (WSJ)
corpora, respectively.
