slminfo(1) [debian man page]

SLMINFO(1)						User Contributed Perl Documentation						SLMINFO(1)

NAME

       slminfo - get information of a back-off language model

SYNOPSIS

       slminfo [option]... slm_file

DESCRIPTION

       slminfo tells information of back-off language model 'slm_file'. It can also print the model to ARPA format.  When no option is given,
       slminfo will only print number of items in each level of the language model.

OPTIONS

       -v,--verbose
	   Turn on verbose mode, printing arpa format.

       -p,--pr
	   Prefer normal probability than -log(Pr) which is default. Valid under -v option.

       -l,--lexicon dict_file
	   Specify the lexicon. Valid under -v option. Substitute the word-id with word-text in the output.

AUTHOR

       Originally written by Phill.Zhang <phill.zhang@sun.com>.  Currently maintained by Kov.Chai <tchaikov@gmail.com>.

SEE ALSO

       slmprune(1).

perl v5.14.2							    2012-06-09								SLMINFO(1)

apertium-lextor(1)														apertium-lextor(1)

NAME

       apertium-lextor - This application is part of ( apertium )

       This tool is part of the apertium machine translation architecture: http://apertium.org.

SYNOPSIS

       apertium-lextor --trainwrd stopwords words n left right corpus model [ --weightexp w ] [ --debug ]

       apertium-lextor --trainlch stopwords lexchoices n left right corpus wordmodel dic bildic model [ --weightexp w ] [ --debug ]

       apertium-lextor --lextor model dic left right [ --debug ] [ --weightexp w ]

DESCRIPTION

       apertium-lextor is the application responsible for training and usage of the lexical selector module.

OPTIONS

       --trainwrd | -t
       Train word co-occurrences model. It needs the following required parameters:

       stopwords file containing a list of stop words. Stop words are ignored.

       words file containing a list of words. For each word a co-occurrence model is built.

       n number of words per co-occurrence model (for each model, the n most frequent words).

       left left-side context to take into account (number of words).

       right right-side context to take into account (number of words).

       corpus file containing the training corpus.

       model output file on which the co-occurrence models are saved.

       --trainlch | -r
       Train  lexical  choices co-occurrence models using a target language co-occurrence model and a bilingual dictionary. It needs the following
       required parameters:

       stopwords file containing a list of stop words. Stop words are ignored.

       lexchoices file containing a list of lexical choices. For each lexical choice a co-occurrence model is built.

       n number of words per co-occurrence model (for each model, the n most frequent words).

       left left-side context to take into account (number of words).

       right right-side context to take into account (number of words).

       corpus file containing the training corpus.

       wordmodel target-language word co-occurrence model (previously trained by means of the --trainwrd option).

       dic the lexical-selection dictionary (binary format).

       bildic the bilingual dictionary (binary format).

       model output file on which the co-occurrence models are saved.

       --lextor | -l
       Perform the lexical selection on the input stream. It needs the following required parameters:

       model file containing the model to be used for the lexical selection.

       dic lexical-selection dictionary (binary format).

       left left-side context to take into account (number of words).

       right right-side context to take into account (number of words).

       --weightexp w
       Specify a weight value to change the influence of surrounding words while training or performing the lexical  selection.  The  parameter  w
       must be a positive value.

       --debug | -d
       Show debug information while working.

       --help | -h
       Shows this help.

       --version | -v
       Shows license information.

SEE ALSO

       apertium-gen-lextorbil(1),   apertium-preprocess-corpus-lextor(1),  apertium-gen-stopwords-lextor(1),  apertium-gen-wlist-lextor(1),  aper-
       tium-gen-wlist-lextor-translation(1), apertium-lextor-eval(1), apertium-lextor-mono(1).

BUGS

       Lots of...lurking in the dark and waiting for you!

AUTHOR

       (c) 2005,2006 Universitat d'Alacant / Universidad de Alicante. All rights reserved.

								    2006-12-12							apertium-lextor(1)