In the following, we will discuss results for applying our induced grammars as an LM compared to using standard trigrams models (solely trained on the indomain data) as a baseline, since these yielded the best results.
we do not discuss the results achieved by the grammars induced in a purely syntactic manner as they performed worse than semantic grammars in all experiments, and we do not discuss the experiments for the interpolated/adapted Figure 2: A subset of weighted speech recognition grammar rules public <utterance> = /6/ <ref> again passes to <ref> | /199/ <ref> kicks to <ref> | ... <ref> = /15/ pink goalie | /132/ pink nine | /10/ pink one | ... trigram models as they performed worse than the in-domain trigram models with the exception of a very slight improvement when applied as a back off model for SLU.