Predictive text input with Soothsayer

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05-14-2008

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Predictive text input with Soothsayer

Wed, 14 May 2008 08:00:00 GMT
Soothsayer is a predictive text input system. Many folks reading that sentence will think of the word completion offered by mobile phones. Soothsayer is different from such mobile phone systems in that it tries to use context and other statistical information to offer predictions instead of just presenting a list of words that might match the first few letters you type.

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slmseg

SLMSEG(1)						User Contributed Perl Documentation						 SLMSEG(1)

NAME

       slmseg - maximum matching segment Chinese text.

SYNOPSIS

       slmseg -d dict_file [option]... [corpus_file]...

DESCRIPTION

       slmseg is a tool for segmenting Chinese text into words using maximum matching algorithm. slmseg segments corpus_file, or standard input if
       no filename is specified, and write the segmented result to standard output.

OPTIONS

       -d dict_file
	   Use dict_file as lexicon. A default lexicon can be found at /usr/share/sunpinyin-slm/dict.utf8.

       -f,--format (text|bin)
	   Output Format, can be 'text' or 'bin'. default 'bin'.  Normally, in text mode, word text are output, while in binary mode, binary short
	   integer of the word-ids are written to stdout.

       -s, --stok STOK_ID
	   Sentence token id. Default 10.  It will be written to output in binary mode after every sentence.

       -i, --show-id
	   Show Id info. Under text output format mode, attach id after known words.  If under binary mode, print id(s) in text.

       -m, --model language-model-file Speficy the language model file. This file is always generated by slmthread.

NOTES

       Under binary mode, consecutive id of 0 are merged into one 0.  Under text mode, no space are inserted between unknown-words.

AUTHOR

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

SEE ALSO

       mmseg(1), ids2ngram (1).

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

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