%% Gareth Moore  27/03/02%\newpage\mysect{LNorm}{LNorm}\mysubsect{Function}{LNorm-Function}\index{hlmcopy@\htool{LNorm}|(}The basic function of this tool is to renormalise language models,optionally pruning the vocabulary at the same time or applying cutoffsor weighted discounts.\mysubsect{Use}{LNorm-Use}\htool{LNorm} is invoked by the command line\begin{verbatim}   LNorm [options] inLMFile outLMFile\end{verbatim}This reads in the language model {\tt inLMFile} and writes a newlanguage model to {\tt outLMFile}, applying editing operationscontrolled by the following options.  In many respects it is similarto \htool{HLMCopy}, but unlike \htool{HLMCopy} it will alwaysrenormalise the resulting model.\begin{optlist}  \ttitem{-c n c} Set the pruning threshold for $n$-grams to $c$. 	Pruning can be applied to the bigram and higher	components of a model ($n$>1). The pruning procedure will keep only 	$n$-grams which have been observed more than $c$ times. Note	that this option is only applicable to count-based language         models.  \ttitem{-d f}  Set weighted discount pruning for \texttt{n}-gram        to \texttt{c} for Seymore-Rosenfeld pruning. Note that this        option is only applicable to count-based language models.    \ttitem{-f s} Set the output language model format to {\tt s}.        Possible options are {\tt TEXT} for the standard ARPA-MIT	LM format, {\tt BIN} for Entropic {\em binary} format and         {\tt ULTRA} for Entropic {\em ultra} format.          \ttitem{-n n} Save target model as $n$-gram.  \ttitem{-w f} Read a word-list defining the output vocabulary from	{\tt f}. This will be used to select the vocabulary for 	the output language model.\end{optlist}\stdopts{LNorm}\mysubsect{Tracing}{LNorm-Tracing}\htool{LNorm} supports the following trace options where eachtrace flag is given using an octal base\begin{optlist}   \ttitem{00001} basic progress reporting.\end{optlist}Trace flags are set using the \texttt{-T} option or the  \texttt{TRACE} configuration variable.\index{hlmcopy@\htool{LNorm}|)}