The presented analyzer models linguistic knowledge at different levels, which will be useful to find an optimal words sequence among a large number of speech recognition hypotheses.
in this research, the analyzer is incorporated after the first pass recognition, and the n-best hypotheses are reranked according to the total path scores adjusted with the analyzer scores as follows.