lplex.tex

该压缩包为最新版htk的源代码,htk是现在比较流行的语音处理软件,请有兴趣的朋友下载使用

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% HLMBook - Valtcho Valtchev    04/02/98
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% Updated - Gareth Moore        15/01/02
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\newpage
\mysect{LPlex}{LPlex}

\mysubsect{Function}{LPlex-Function}

\index{lplex@\htool{LPlex}|(}
This program computes the perplexity and out of vocabulary (OOV) statistics of
text data using one or more language models. The perplexity is calculated on
per-utterance basis. Each utterance in the text data should start with a
sentence start symbol ({\tt <s>}) and finish with a sentence end ({\tt </s>})
symbol. The default values for the sentence markers can be changed via the
config parameters {\tt STARTWORD} and {\tt ENDWORD} respectively. Text data can
be supplied as an \HTK\ Master Label File (MLF) or as plain text ({\tt -t}
option). Multiple perplexity tests can be performed on the same texts using
separate $n$-gram components of the model(s). OOV words in the test data can be
handled in two ways. By default the probability of $n$-grams containing words
not in the lexicon is simply not calculated. This is useful for testing closed
vocabulary models on texts containing OOVs. If the {\tt -u} option is
specified, $n$-grams giving the probability of an OOV word conditioned on its
predecessors are discarded, however, the probability of words in the lexicon
can be conditioned on context including OOV words. The latter mode of operation
relies on the presence of the unknown class symbol ({\tt !!UNK}) in the
language model (the default value can be changed via the config parameter {\tt
UNKNOWNNAME}). If multiple models are specified ({\tt -i} option) the
probability of an $n$-gram will be calculated as a sum of the weighted
probabilities from each of the models.

\mysubsect{Use}{LPlex-Use}

\htool{LPlex} is invoked by the command line
\begin{verbatim}
   LPlex [options] langmodel labelFiles ...
\end{verbatim}

The allowable options to \htool{LPlex} are as follows
\begin{optlist}

  \ttitem{-c n c} Set the pruning threshold for $n$-grams to $c$.  Pruning can
	be applied to the bigram (n=2) and trigram (n=3) components of the
	model. The pruning procedure will keep only $n$-grams which have been
	observed more than $c$ times. Note that this option is only applicable
	to the model generated from the text data.

  \ttitem{-e s t} Label {\tt t} is made equivalent to label {\tt s}. More 
	precisely {\tt t} is assigned to an equivalence class of which {\tt s}
	is the identifying member. The equivalence mappings are applied to the
	text and should be used to map symbols in the text to symbols in the
	language model's vocabulary.

  \ttitem{-i w fn} Interpolate with model {\tt fn} using weight {\tt w}.

  \ttitem{-n n} Perform a perplexity test using the $n$-gram component of the
	model. Multiple tests can be specified. By default the tool will use
	the maximum value of $n$ available.

  \ttitem{-o} Print a sorted list of unique OOV words encountered in the text
	and their occurrence counts.

  \ttitem{-t} Text stream mode. If this option is set, the specified test files 
	will be assumed to contain plain text. 

  \ttitem{-u} In this mode OOV words can be present in the $n$-gram context
	when predicting words in the vocabulary. The conditional probability of
	OOV words is still ignored.

  \ttitem{-w fn} Load word list in {\tt fn}. The word list will be used as the
	restricting vocabulary for the perplexity calculation. If a word list
	file is not specified, the target vocabulary will be constructed by
	combining the vocabularies of all specified language models.

  \ttitem{-z s} Redefine the null equivalence class name to {\tt s}. The default 
	null class name is {\tt ???}. Any words mapped to the null class will be
	deleted from the text.
\end{optlist}
\stdopts{LPlex}

\mysubsect{Tracing}{LPlex-Tracing}

\htool{LPlex} supports the following trace options where each trace flag is 
given using an octal base
\begin{optlist}
  \ttitem{00001} basic progress reporting. 
  \ttitem{00002} print information after each utterance processed.
  \ttitem{00004} display encountered OOVs.
  \ttitem{00010} display probability of each $n$-gram looked up.
  \ttitem{00020} print each utterance and its perplexity.
\end{optlist}
Trace flags are set using the \texttt{-T} option or the \texttt{TRACE}
configuration variable.
\index{lplex@\htool{LPlex}|)}