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https://github.com/tesseract-ocr/tesseract.git
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de0aff106f
Signed-off-by: Stefan Weil <sw@weilnetz.de>
260 lines
8.1 KiB
XML
260 lines
8.1 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE refentry PUBLIC "-//OASIS//DTD DocBook XML V4.5//EN" "http://www.oasis-open.org/docbook/xml/4.5/docbookx.dtd">
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<?asciidoc-toc?>
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<?asciidoc-numbered?>
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<refentry lang="en">
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<refentryinfo>
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<title>COMBINE_TESSDATA(1)</title>
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</refentryinfo>
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<refmeta>
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<refentrytitle>combine_tessdata</refentrytitle>
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<manvolnum>1</manvolnum>
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<refmiscinfo class="source"> </refmiscinfo>
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<refmiscinfo class="manual"> </refmiscinfo>
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</refmeta>
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<refnamediv>
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<refname>combine_tessdata</refname>
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<refpurpose>combine/extract/overwrite Tesseract data</refpurpose>
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</refnamediv>
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<refsynopsisdiv id="_synopsis">
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<simpara><emphasis role="strong">combine_tessdata</emphasis> [<emphasis>OPTION</emphasis>] <emphasis>FILE</emphasis>…</simpara>
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</refsynopsisdiv>
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<refsect1 id="_description">
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<title>DESCRIPTION</title>
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<simpara>combine_tessdata(1) is the main program to combine/extract/overwrite
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tessdata components in [lang].traineddata files.</simpara>
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<simpara>To combine all the individual tessdata components (unicharset, DAWGs,
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classifier templates, ambiguities, language configs) located at, say,
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/home/$USER/temp/eng.* run:</simpara>
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<literallayout class="monospaced">combine_tessdata /home/$USER/temp/eng.</literallayout>
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<simpara>The result will be a combined tessdata file /home/$USER/temp/eng.traineddata</simpara>
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<simpara>Specify option -e if you would like to extract individual components
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from a combined traineddata file. For example, to extract language config
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file and the unicharset from tessdata/eng.traineddata run:</simpara>
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<literallayout class="monospaced">combine_tessdata -e tessdata/eng.traineddata \
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/home/$USER/temp/eng.config /home/$USER/temp/eng.unicharset</literallayout>
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<simpara>The desired config file and unicharset will be written to
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/home/$USER/temp/eng.config /home/$USER/temp/eng.unicharset</simpara>
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<simpara>Specify option -o to overwrite individual components of the given
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[lang].traineddata file. For example, to overwrite language config
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and unichar ambiguities files in tessdata/eng.traineddata use:</simpara>
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<literallayout class="monospaced">combine_tessdata -o tessdata/eng.traineddata \
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/home/$USER/temp/eng.config /home/$USER/temp/eng.unicharambigs</literallayout>
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<simpara>As a result, tessdata/eng.traineddata will contain the new language config
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and unichar ambigs, plus all the original DAWGs, classifier templates, etc.</simpara>
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<simpara>Note: the file names of the files to extract to and to overwrite from should
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have the appropriate file suffixes (extensions) indicating their tessdata
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component type (.unicharset for the unicharset, .unicharambigs for unichar
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ambigs, etc). See k*FileSuffix variable in ccutil/tessdatamanager.h.</simpara>
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<simpara>Specify option -u to unpack all the components to the specified path:</simpara>
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<literallayout class="monospaced">combine_tessdata -u tessdata/eng.traineddata /home/$USER/temp/eng.</literallayout>
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<simpara>This will create /home/$USER/temp/eng.* files with individual tessdata
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components from tessdata/eng.traineddata.</simpara>
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</refsect1>
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<refsect1 id="_options">
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<title>OPTIONS</title>
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<simpara><emphasis role="strong">-e</emphasis> <emphasis>.traineddata</emphasis> <emphasis>FILE</emphasis>…:
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Extracts the specified components from the .traineddata file</simpara>
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<simpara><emphasis role="strong">-o</emphasis> <emphasis>.traineddata</emphasis> <emphasis>FILE</emphasis>…:
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Overwrites the specified components of the .traineddata file
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with those provided on the comand line.</simpara>
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<simpara><emphasis role="strong">-u</emphasis> <emphasis>.traineddata</emphasis> <emphasis>PATHPREFIX</emphasis>
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Unpacks the .traineddata using the provided prefix.</simpara>
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</refsect1>
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<refsect1 id="_caveats">
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<title>CAVEATS</title>
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<simpara><emphasis>Prefix</emphasis> refers to the full file prefix, including period (.)</simpara>
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</refsect1>
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<refsect1 id="_components">
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<title>COMPONENTS</title>
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<simpara>The components in a Tesseract lang.traineddata file as of
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Tesseract 3.02 are briefly described below; For more information on
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many of these files, see
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<ulink url="https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract">https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract</ulink></simpara>
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<variablelist>
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<varlistentry>
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<term>
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lang.config
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</term>
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<listitem>
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<simpara>
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(Optional) Language-specific overrides to default config variables.
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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lang.unicharset
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</term>
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<listitem>
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<simpara>
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(Required) The list of symbols that Tesseract recognizes, with properties.
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See unicharset(5).
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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lang.unicharambigs
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</term>
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<listitem>
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<simpara>
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(Optional) This file contains information on pairs of recognized symbols
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which are often confused. For example, <emphasis>rn</emphasis> and <emphasis>m</emphasis>.
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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lang.inttemp
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</term>
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<listitem>
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<simpara>
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(Required) Character shape templates for each unichar. Produced by
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mftraining(1).
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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lang.pffmtable
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</term>
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<listitem>
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<simpara>
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(Required) The number of features expected for each unichar.
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Produced by mftraining(1) from <emphasis role="strong">.tr</emphasis> files.
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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lang.normproto
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</term>
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<listitem>
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<simpara>
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(Required) Character normalization prototypes generated by cntraining(1)
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from <emphasis role="strong">.tr</emphasis> files.
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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lang.punc-dawg
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</term>
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<listitem>
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<simpara>
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(Optional) A dawg made from punctuation patterns found around words.
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The "word" part is replaced by a single space.
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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lang.word-dawg
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</term>
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<listitem>
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<simpara>
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(Optional) A dawg made from dictionary words from the language.
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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lang.number-dawg
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</term>
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<listitem>
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<simpara>
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(Optional) A dawg made from tokens which originally contained digits.
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Each digit is replaced by a space character.
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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lang.freq-dawg
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</term>
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<listitem>
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<simpara>
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(Optional) A dawg made from the most frequent words which would have
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gone into word-dawg.
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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lang.fixed-length-dawgs
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</term>
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<listitem>
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<simpara>
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(Optional) Several dawgs of different fixed lengths — useful for
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languages like Chinese.
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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lang.shapetable
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</term>
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<listitem>
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<simpara>
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(Optional) When present, a shapetable is an extra layer between the character
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classifier and the word recognizer that allows the character classifier to
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return a collection of unichar ids and fonts instead of a single unichar-id
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and font.
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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lang.bigram-dawg
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</term>
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<listitem>
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<simpara>
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(Optional) A dawg of word bigrams where the words are separated by a space
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and each digit is replaced by a <emphasis>?</emphasis>.
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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lang.unambig-dawg
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</term>
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<listitem>
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<simpara>
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(Optional) TODO: Describe.
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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lang.params-training-model
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</term>
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<listitem>
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<simpara>
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(Optional) TODO: Describe.
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</simpara>
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</listitem>
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</varlistentry>
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</variablelist>
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</refsect1>
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<refsect1 id="_history">
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<title>HISTORY</title>
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<simpara>combine_tessdata(1) first appeared in version 3.00 of Tesseract</simpara>
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</refsect1>
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<refsect1 id="_see_also">
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<title>SEE ALSO</title>
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<simpara>tesseract(1), wordlist2dawg(1), cntraining(1), mftraining(1), unicharset(5),
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unicharambigs(5)</simpara>
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</refsect1>
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<refsect1 id="_copying">
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<title>COPYING</title>
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<simpara>Copyright (C) 2009, Google Inc.
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Licensed under the Apache License, Version 2.0</simpara>
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</refsect1>
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<refsect1 id="_author">
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<title>AUTHOR</title>
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<simpara>The Tesseract OCR engine was written by Ray Smith and his research groups
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at Hewlett Packard (1985-1995) and Google (2006-present).</simpara>
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</refsect1>
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</refentry>
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