tesseractにおいて、廃止されたtesstrain.sh、tesstrain_utils.sh、language.specific.shのコードをメモとして載せておく。これをubuntu上の /usr/local/bin に配置することで tesstrain.sh コマンドを利用することが可能になる。

tesstrain.sh

#!/bin/bash
# (C) Copyright 2014, Google Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# This script provides an easy way to execute various phases of training
# Tesseract.  For a detailed description of the phases, see
# https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract
#

display_usage() {
echo -e "USAGE: tesstrain.sh
     --exposures EXPOSURES      # A list of exposure levels to use (e.g. "-1 0 1").
     --fontlist FONTS           # A list of fontnames to train on.
     --fonts_dir FONTS_PATH     # Path to font files.
     --lang LANG_CODE           # ISO 639 code.
     --langdata_dir DATADIR     # Path to tesseract/training/langdata directory.
     --linedata_only            # Only generate training data for lstmtraining.
     --output_dir OUTPUTDIR     # Location of output traineddata file.
     --overwrite                # Safe to overwrite files in output_dir.
     --run_shape_clustering     # Run shape clustering (use for Indic langs).
     --maxpages                 # Specify maximum pages to output (default:0=all)
     --save_box_tiff            # Save box/tiff pairs along with lstmf files.
     --xsize                    # Specify width of output image (default:3600)

  OPTIONAL flag for specifying directory with user specified box/tiff pairs.
  Files should be named similar to ${LANG_CODE}.${fontname}.exp${EXPOSURE}.box/tif
     --my_boxtiff_dir MY_BOXTIFF_DIR # Location of user specified box/tiff files.

  OPTIONAL flags for input data. If unspecified we will look for them in
  the langdata_dir directory.
     --training_text TEXTFILE   # Text to render and use for training.
     --wordlist WORDFILE        # Word list for the language ordered by
                                # decreasing frequency.
  OPTIONAL flag to specify location of existing traineddata files, required
  during feature extraction. If unspecified will use TESSDATA_PREFIX defined in
  the current environment.
     --tessdata_dir TESSDATADIR     # Path to tesseract/tessdata directory.
  NOTE:
  The font names specified in --fontlist need to be recognizable by Pango using
  fontconfig. An easy way to list the canonical names of all fonts available on
  your system is to run text2image with --list_available_fonts and the
  appropriate --fonts_dir path."
}

source "$(dirname $0)/tesstrain_utils.sh"
if [[ $# -eq 0 || "$1" == "--help" || "$1" == "-h" ]]; then
    display_usage
    exit 0
fi
if [ $# == 0 ]; then
    display_usage
    exit 1
fi

ARGV=("$@")
parse_flags

mkdir -p ${TRAINING_DIR}

if [[ ${MY_BOXTIFF_DIR} != "" ]]; then
    tlog "\n=== Copy existing box/tiff pairs from '${MY_BOXTIFF_DIR}'"
    cp  ${MY_BOXTIFF_DIR}/*.box ${TRAINING_DIR} | true
    cp  ${MY_BOXTIFF_DIR}/*.tif ${TRAINING_DIR} | true
    ls -l  ${TRAINING_DIR}
fi

tlog "\n=== Starting training for language '${LANG_CODE}'"

source "$(dirname $0)/language-specific.sh"
set_lang_specific_parameters ${LANG_CODE}

initialize_fontconfig

phase_I_generate_image 8
phase_UP_generate_unicharset
if $LINEDATA; then
  phase_E_extract_features " --psm 6  lstm.train " 8 "lstmf"
  make__lstmdata
  tlog "\nCreated starter traineddata for LSTM training of language '${LANG_CODE}'\n"
  tlog "\nRun 'lstmtraining' command to continue LSTM training for language '${LANG_CODE}'\n"
else
  phase_D_generate_dawg
  phase_E_extract_features "box.train" 8 "tr"
  phase_C_cluster_prototypes "${TRAINING_DIR}/${LANG_CODE}.normproto"
  phase_S_cluster_shapes
  phase_M_cluster_microfeatures
  phase_B_generate_ambiguities
  make__traineddata
  tlog "\nCompleted training for language '${LANG_CODE}'\n"
fi

tesstrain_utils.sh

#!/bin/bash
# (C) Copyright 2014, Google Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# This script defines functions that are used by tesstrain.sh
# For a detailed description of the phases, see
# https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract
#
# USAGE: source tesstrain_utils.sh

if [ -n "$BASH_VERSION" ];then
  set -u  # comment in case of "unbound variable" error or fix the code
  set -eo pipefail;
else
   echo "Warning: you aren't running script in bash - expect problems..."
 fi

UNAME=$(uname -s | tr 'A-Z' 'a-z')

FONT_CONFIG_CACHE=$(mktemp -d -t font_tmp.XXXXXXXXXX)

if [[ ($UNAME == *darwin*) ]]; then
    FONTS_DIR="/Library/Fonts/"
else
    FONTS_DIR="/usr/share/fonts/"
fi

DISTORT_IMAGE=false
EXTRACT_FONT_PROPERTIES=false
LINEDATA=false
MAX_PAGES=0
MY_BOXTIFF_DIR=""
OUTPUT_DIR="/tmp/tesstrain/tessdata"
OVERWRITE=false
RUN_SHAPE_CLUSTERING=false
SAVE_BOX_TIFF=false
WORKSPACE_DIR=$(mktemp -d)
X_SIZE=3600
PT_SIZE=12

# set TESSDATA_PREFIX as empty, if not defined in environment to avoid an unbound variable
TESSDATA_PREFIX=${TESSDATA_PREFIX:-}

# Logging helper functions.
tlog() {
    if test -z "${LOG_FILE:-}"; then
        echo -e $*
    else
        echo -e $* | tee -a ${LOG_FILE}
    fi
}

err_exit() {
    if test -z "${LOG_FILE:-}"; then
        echo -e "ERROR: "$*
    else
        echo -e "ERROR: "$* | tee -a ${LOG_FILE}
    fi
    exit 1
}

# Helper function to run a command and append its output to a log. Aborts early
# if the program file is not found.
# Usage: run_command CMD ARG1 ARG2...
run_command() {
    local cmd
    cmd=$(which $1 || \
              for d in api training; do
                  which $d/$1 && break
              done) || err_exit "'$1' not found"
    shift
    tlog "[$(date)] ${cmd} $@"
    if ! "${cmd}" "$@" 2>&1 | tee -a "${LOG_FILE}"; then
        err_exit "Program $(basename ${cmd}) failed. Abort."
    fi
}

# Check if all the given files exist, or exit otherwise.
# Used to check required input files and produced output files in each phase.
# Usage: check_file_readable FILE1 FILE2...
check_file_readable() {
    for file in $@; do
        if [[ ! -r ${file} ]]; then
            err_exit "${file} does not exist or is not readable"
        fi
    done
}

# Sets the named variable to given value. Aborts if the value is missing or
# if it looks like a flag.
# Usage: parse_value VAR_NAME VALUE
parse_value() {
    local val="${2:-}"
    if [[ -z "$val" ]]; then
        err_exit "Missing value for variable $1"
        exit
    fi
    if [[ ${val:0:2} == "--" ]]; then
        err_exit "Invalid value $val passed for variable $1"
        exit
    fi
    eval $1=\"$val\"
}

# Does simple command-line parsing and initialization.
parse_flags() {
    local i=0
    while test $i -lt ${#ARGV[@]}; do
        local j=$((i+1))
        case ${ARGV[$i]} in
            --)
                break;;
            --fontlist)
                fn=0
                FONTS=""
                while test $j -lt ${#ARGV[@]}; do
                    test -z "${ARGV[$j]}" && break
                    test $(echo ${ARGV[$j]} | cut -c -2) = "--" && break
                    FONTS[$fn]="${ARGV[$j]}"
                    fn=$((fn+1))
                    j=$((j+1))
                done
                i=$((j-1)) ;;
            --exposures)
                exp=""
                while test $j -lt ${#ARGV[@]}; do
                    test -z "${ARGV[$j]}" && break
                    test $(echo ${ARGV[$j]} | cut -c -2) = "--" && break
                    exp="$exp ${ARGV[$j]}"
                    j=$((j+1))
                done
                parse_value "EXPOSURES" "$exp"
                i=$((j-1)) ;;
            --fonts_dir)
                parse_value "FONTS_DIR" ${ARGV[$j]:-}
                i=$j ;;
	    --tmp_dir)
		parse_value "TMP_DIR"   ${ARGV[$j]:-}
		i=$j ;;
            --lang)
                parse_value "LANG_CODE" ${ARGV[$j]:-}
                i=$j ;;
            --langdata_dir)
                parse_value "LANGDATA_ROOT" ${ARGV[$j]:-}
                i=$j ;;
            --maxpages)
                parse_value "MAX_PAGES" ${ARGV[$j]:-}
                i=$j ;;
            --ptsize)
                parse_value "PT_SIZE" ${ARGV[$j]:-}
                i=$j ;;
            --my_boxtiff_dir)
                parse_value "MY_BOXTIFF_DIR" ${ARGV[$j]:-}
                i=$j ;;
            --distort_image)
                DISTORT_IMAGE=true ;;
            --output_dir)
                parse_value "OUTPUT_DIR" ${ARGV[$j]:-}
                i=$j ;;
            --overwrite)
                OVERWRITE=true ;;
            --save_box_tiff)
                SAVE_BOX_TIFF=true ;;
            --linedata_only)
                LINEDATA=true ;;
            --extract_font_properties)
                EXTRACT_FONT_PROPERTIES=true ;;
            --noextract_font_properties)
                EXTRACT_FONT_PROPERTIES=false ;;
            --tessdata_dir)
                parse_value "TESSDATA_DIR" ${ARGV[$j]:-}
                i=$j ;;
            --training_text)
                parse_value "TRAINING_TEXT" "${ARGV[$j]:-}"
                i=$j ;;
            --wordlist)
                parse_value "WORDLIST_FILE" ${ARGV[$j]:-}
                i=$j ;;
            --workspace_dir)
                rmdir "$FONT_CONFIG_CACHE"
                rmdir "$WORKSPACE_DIR"
                parse_value "WORKSPACE_DIR" ${ARGV[$j]:-}
                FONT_CONFIG_CACHE=$WORKSPACE_DIR/fc-cache
                mkdir -p $FONT_CONFIG_CACHE
                i=$j ;;
            --xsize)
                parse_value "X_SIZE" ${ARGV[$j]:-}
                i=$j ;;
            *)
                err_exit "Unrecognized argument ${ARGV[$i]}" ;;
        esac
        i=$((i+1))
    done
    if [[ -z ${LANG_CODE:-} ]]; then
        err_exit "Need to specify a language --lang"
    fi
    if [[ -z ${LANGDATA_ROOT:-} ]]; then
        err_exit "Need to specify path to language files --langdata_dir"
    fi
    if [[ -z ${TESSDATA_DIR:-} ]]; then
        if [[ -z ${TESSDATA_PREFIX} ]]; then
            err_exit "Need to specify a --tessdata_dir or have a "\
        "TESSDATA_PREFIX variable defined in your environment"
        else
            TESSDATA_DIR="${TESSDATA_PREFIX}"
        fi
    fi
    if [[ ! -d "${OUTPUT_DIR}" ]]; then
        tlog "Creating new directory ${OUTPUT_DIR}"
        mkdir -p "${OUTPUT_DIR}"
    fi

    # Location where intermediate files will be created.
    TIMESTAMP=$(date +%Y-%m-%d)
    if [[ -z ${TMP_DIR:-} ]]; then
        TMP_DIR=$(mktemp -d -t ${LANG_CODE}-${TIMESTAMP}.XXX)
    else
        TMP_DIR=$(mktemp -d -p ${TMP_DIR} -t ${LANG_CODE}-${TIMESTAMP}.XXX)
    fi
    TRAINING_DIR=${TMP_DIR}
    # Location of log file for the whole run.
    LOG_FILE=${TRAINING_DIR}/tesstrain.log

    # Take training text and wordlist from the langdata directory if not
    # specified in the command-line.
    TRAINING_TEXT=${TRAINING_TEXT:-${LANGDATA_ROOT}/${LANG_CODE}/${LANG_CODE}.training_text}
    WORDLIST_FILE=${WORDLIST_FILE:-${LANGDATA_ROOT}/${LANG_CODE}/${LANG_CODE}.wordlist}

    WORD_BIGRAMS_FILE=${LANGDATA_ROOT}/${LANG_CODE}/${LANG_CODE}.word.bigrams
    NUMBERS_FILE=${LANGDATA_ROOT}/${LANG_CODE}/${LANG_CODE}.numbers
    PUNC_FILE=${LANGDATA_ROOT}/${LANG_CODE}/${LANG_CODE}.punc
    BIGRAM_FREQS_FILE=${TRAINING_TEXT}.bigram_freqs
    UNIGRAM_FREQS_FILE=${TRAINING_TEXT}.unigram_freqs
    TRAIN_NGRAMS_FILE=${TRAINING_TEXT}.train_ngrams
    GENERATE_DAWGS=1
}

# Function initializes font config with a unique font cache dir.
initialize_fontconfig() {
    export FONT_CONFIG_CACHE
    local sample_path=${FONT_CONFIG_CACHE}/sample_text.txt
    echo "Text" >${sample_path}
    run_command text2image --fonts_dir=${FONTS_DIR} --ptsize ${PT_SIZE} \
        --font="${FONTS[0]}" --outputbase=${sample_path} --text=${sample_path} \
        --fontconfig_tmpdir=${FONT_CONFIG_CACHE}
}

# Helper function for phaseI_generate_image. Generates the image for a single
# language/font combination in a way that can be run in parallel.
generate_font_image() {
    local font="$1"
    tlog "Rendering using ${font}"
    local fontname=$(echo ${font} | tr ' ' '_' | sed 's/,//g')
    local outbase=${TRAINING_DIR}/${LANG_CODE}.${fontname}.exp${EXPOSURE}

    local common_args="--fontconfig_tmpdir=${FONT_CONFIG_CACHE}"
    common_args+=" --fonts_dir=${FONTS_DIR} --strip_unrenderable_words"
    common_args+=" --leading=${LEADING} --xsize=${X_SIZE}"
    common_args+=" --char_spacing=${CHAR_SPACING} --exposure=${EXPOSURE}"
    common_args+=" --outputbase=${outbase} --max_pages=${MAX_PAGES}"
    if $DISTORT_IMAGE; then
        common_args+=" --distort_image --invert=false"
    fi

    # add --writing_mode=vertical-upright to common_args if the font is
    # specified to be rendered vertically.
    for vfont in "${VERTICAL_FONTS[@]}"; do
      if [[ "${font}" == "${vfont}" ]]; then
        common_args+=" --writing_mode=vertical-upright "
        break
      fi
    done

    run_command text2image ${common_args} --font="${font}" --ptsize ${PT_SIZE} \
        --text=${TRAINING_TEXT}  ${TEXT2IMAGE_EXTRA_ARGS:-}
    check_file_readable ${outbase}.box ${outbase}.tif

    if $EXTRACT_FONT_PROPERTIES &&
        [[ -r ${TRAIN_NGRAMS_FILE} ]]; then
        tlog "Extracting font properties of ${font}"
        run_command text2image ${common_args} --font="${font}" \
            --ligatures=false --text=${TRAIN_NGRAMS_FILE} \
            --only_extract_font_properties --ptsize=32
        check_file_readable ${outbase}.fontinfo
    fi
}

# Phase I : Generate (I)mages from training text for each font.
phase_I_generate_image() {
    local par_factor=${1:-}
    if ! [[ "${par_factor}" -gt 0 ]]; then
        par_factor=1
    fi
    tlog "\n=== Phase I: Generating training images ==="
    if [[ -z ${TRAINING_TEXT:-} ]] || test ! -r "${TRAINING_TEXT}"; then
        err_exit "Could not find training text file ${TRAINING_TEXT:-}"
    fi
    CHAR_SPACING="0.0"

    for EXPOSURE in $EXPOSURES; do
        if $EXTRACT_FONT_PROPERTIES && [[ -r ${BIGRAM_FREQS_FILE} ]]; then
            # Parse .bigram_freqs file and compose a .train_ngrams file with text
            # for tesseract to recognize during training. Take only the ngrams whose
            # combined weight accounts for 95% of all the bigrams in the language.
            NGRAM_FRAC=$(cat ${BIGRAM_FREQS_FILE} \
                | awk '{s=s+$2}; END {print (s/100)*p}' p=99)
            sort -rnk2 ${BIGRAM_FREQS_FILE} \
                | awk '{s=s+$2; if (s <= x) {printf "%s ", $1; } }' \
                x=${NGRAM_FRAC} > ${TRAIN_NGRAMS_FILE}
            check_file_readable ${TRAIN_NGRAMS_FILE}
        fi

        local jobs=
        trap "kill $$" INT
        for font in "${FONTS[@]}"; do
            sleep 1
            test $(jobs -r | wc -l) -ge $par_factor && wait -n
            generate_font_image "${font}" &
            jobs="$jobs $!"
        done
        wait $jobs
        # Check that each process was successful.
        for font in "${FONTS[@]}"; do
            local fontname=$(echo ${font} | tr ' ' '_' | sed 's/,//g')
            local outbase=${TRAINING_DIR}/${LANG_CODE}.${fontname}.exp${EXPOSURE}
            check_file_readable ${outbase}.box ${outbase}.tif
        done
    done
    if $SAVE_BOX_TIFF && ( ! $LINEDATA ) ; then
    tlog "\n=== Saving box/tiff pairs for training data ==="
        for f in "${TRAINING_DIR}/${LANG_CODE}".*.box; do
            tlog "Moving ${f} to ${OUTPUT_DIR}"
            cp "${f}" "${OUTPUT_DIR}"
        done
        for f in "${TRAINING_DIR}/${LANG_CODE}".*.tif; do
            tlog "Moving ${f} to ${OUTPUT_DIR}"
            cp "${f}" "${OUTPUT_DIR}"
        done
    fi
}

# Phase UP : Generate (U)nicharset and (P)roperties file.
phase_UP_generate_unicharset() {
    tlog "\n=== Phase UP: Generating unicharset and unichar properties files ==="

    local box_files=$(ls ${TRAINING_DIR}/*.box)
    UNICHARSET_FILE="${TRAINING_DIR}/${LANG_CODE}.unicharset"
    run_command unicharset_extractor --output_unicharset "${UNICHARSET_FILE}" \
      --norm_mode "${NORM_MODE}" ${box_files}
    check_file_readable ${UNICHARSET_FILE}

    XHEIGHTS_FILE="${TRAINING_DIR}/${LANG_CODE}.xheights"
    run_command set_unicharset_properties \
        -U ${UNICHARSET_FILE} -O ${UNICHARSET_FILE} -X ${XHEIGHTS_FILE} \
        --script_dir=${LANGDATA_ROOT}
    check_file_readable ${XHEIGHTS_FILE}
}

# Phase D : Generate (D)awg files from unicharset file and wordlist files
phase_D_generate_dawg() {
    tlog "\n=== Phase D: Generating Dawg files ==="

    # Skip if requested
    if [[ ${GENERATE_DAWGS} -eq 0 ]]; then
      tlog "Skipping ${phase_name}"
      return
    fi

    # Output files
    WORD_DAWG=${TRAINING_DIR}/${LANG_CODE}.word-dawg
    FREQ_DAWG=${TRAINING_DIR}/${LANG_CODE}.freq-dawg
    PUNC_DAWG=${TRAINING_DIR}/${LANG_CODE}.punc-dawg
    NUMBER_DAWG=${TRAINING_DIR}/${LANG_CODE}.number-dawg
    BIGRAM_DAWG=${TRAINING_DIR}/${LANG_CODE}.bigram-dawg

    # Word DAWG
    local freq_wordlist_file=${TRAINING_DIR}/${LANG_CODE}.wordlist.clean.freq
    if [[ -s ${WORDLIST_FILE} ]]; then
        tlog "Generating word Dawg"
        check_file_readable ${UNICHARSET_FILE}
        run_command wordlist2dawg -r 1 ${WORDLIST_FILE} ${WORD_DAWG} \
            ${UNICHARSET_FILE}
        check_file_readable ${WORD_DAWG}

        FREQ_DAWG_SIZE=100
        head -n ${FREQ_DAWG_SIZE} ${WORDLIST_FILE} > ${freq_wordlist_file}
    fi

    # Freq-word DAWG
    if [[ -s ${freq_wordlist_file} ]]; then
        check_file_readable ${UNICHARSET_FILE}
        tlog "Generating frequent-word Dawg"
        run_command wordlist2dawg  -r 1 ${freq_wordlist_file} \
            ${FREQ_DAWG} ${UNICHARSET_FILE}
        check_file_readable ${FREQ_DAWG}
    fi

    # Punctuation DAWG
    # -r arguments to wordlist2dawg denote RTL reverse policy
    # (see Trie::RTLReversePolicy enum in tesseract/src/dict/trie.h).
    # We specify 0/RRP_DO_NO_REVERSE when generating number DAWG,
    # 1/RRP_REVERSE_IF_HAS_RTL for freq and word DAWGS,
    # 2/RRP_FORCE_REVERSE for the punctuation DAWG.
    local punc_reverse_policy=0;
    if [[ "${LANG_IS_RTL}" == "1" ]]; then
      punc_reverse_policy=2
    fi
    if [[ ! -s ${PUNC_FILE} ]]; then
        PUNC_FILE="${LANGDATA_ROOT}/common.punc"
    fi
    check_file_readable ${PUNC_FILE}
    run_command wordlist2dawg -r ${punc_reverse_policy} \
        ${PUNC_FILE} ${PUNC_DAWG} ${UNICHARSET_FILE}
    check_file_readable ${PUNC_DAWG}

    # Numbers DAWG
    if [[ -s ${NUMBERS_FILE} ]]; then
        run_command wordlist2dawg -r 0 \
            ${NUMBERS_FILE} ${NUMBER_DAWG} ${UNICHARSET_FILE}
        check_file_readable ${NUMBER_DAWG}
    fi

    # Bigram dawg
    if [[ -s ${WORD_BIGRAMS_FILE} ]]; then
        run_command wordlist2dawg -r 1 \
            ${WORD_BIGRAMS_FILE} ${BIGRAM_DAWG} ${UNICHARSET_FILE}
        check_file_readable ${BIGRAM_DAWG}
    fi
}

# Phase E : (E)xtract .tr feature files from .tif/.box files
phase_E_extract_features() {
    local box_config=$1
    local par_factor=$2
    local ext=$3
    if ! [[ "${par_factor}" -gt 0 ]]; then
        par_factor=1
    fi
    tlog "\n=== Phase E: Generating ${ext} files ==="

    local img_files=""
    for exposure in ${EXPOSURES}; do
        img_files=${img_files}' '$(ls ${TRAINING_DIR}/*.exp${exposure}.tif)
    done

    # Use any available language-specific configs.
    local config=""
    if [[ -r ${LANGDATA_ROOT}/${LANG_CODE}/${LANG_CODE}.config ]]; then
        config=${LANGDATA_ROOT}/${LANG_CODE}/${LANG_CODE}.config
    fi

    OLD_TESSDATA_PREFIX=${TESSDATA_PREFIX}
    export TESSDATA_PREFIX=${TESSDATA_DIR}
    tlog "Using TESSDATA_PREFIX=${TESSDATA_PREFIX}"
    local jobs=
    trap "kill $$" INT
    for img_file in ${img_files}; do
        test $(jobs -r | wc -l) -ge $par_factor && wait -n
        run_command tesseract ${img_file} ${img_file%.*} \
            ${box_config} ${config} &
        jobs="$jobs $!"
    done
    wait $jobs
    export TESSDATA_PREFIX=${OLD_TESSDATA_PREFIX}
    # Check that all the output files were produced.
    for img_file in ${img_files}; do
        check_file_readable "${img_file%.*}.${ext}"
    done
}

# Phase C : (C)luster feature prototypes in .tr into normproto file (cnTraining)
# phaseC_cluster_prototypes ${TRAINING_DIR}/${LANG_CODE}.normproto
phase_C_cluster_prototypes() {
    tlog "\n=== Phase C: Clustering feature prototypes (cnTraining) ==="
    local out_normproto=$1

    run_command cntraining -D "${TRAINING_DIR}/" \
        $(ls ${TRAINING_DIR}/*.tr)

    check_file_readable ${TRAINING_DIR}/normproto
    mv ${TRAINING_DIR}/normproto ${out_normproto}
}

# Phase S : (S)hape clustering
phase_S_cluster_shapes() {
    if ! $RUN_SHAPE_CLUSTERING; then
        tlog "\n=== Shape Clustering disabled ==="
        return
    fi
    check_file_readable ${LANGDATA_ROOT}/font_properties
    local font_props="-F ${LANGDATA_ROOT}/font_properties"
    if [[ -r ${TRAINING_DIR}/${LANG_CODE}.xheights ]] &&\
       [[ -s ${TRAINING_DIR}/${LANG_CODE}.xheights ]]; then
        font_props=${font_props}" -X ${TRAINING_DIR}/${LANG_CODE}.xheights"
    fi

    run_command shapeclustering \
        -D "${TRAINING_DIR}/" \
        -U ${TRAINING_DIR}/${LANG_CODE}.unicharset \
        -O ${TRAINING_DIR}/${LANG_CODE}.mfunicharset \
        ${font_props} \
        $(ls ${TRAINING_DIR}/*.tr)
    check_file_readable ${TRAINING_DIR}/shapetable \
        ${TRAINING_DIR}/${LANG_CODE}.mfunicharset
}

# Phase M : Clustering microfeatures (mfTraining)
phase_M_cluster_microfeatures() {
    tlog "\n=== Phase M : Clustering microfeatures (mfTraining) ==="

    check_file_readable ${LANGDATA_ROOT}/font_properties
    font_props="-F ${LANGDATA_ROOT}/font_properties"
    if [[ -r ${TRAINING_DIR}/${LANG_CODE}.xheights ]] && \
       [[ -s ${TRAINING_DIR}/${LANG_CODE}.xheights ]]; then
        font_props=${font_props}" -X ${TRAINING_DIR}/${LANG_CODE}.xheights"
    fi

    run_command mftraining \
        -D "${TRAINING_DIR}/" \
        -U ${TRAINING_DIR}/${LANG_CODE}.unicharset \
        -O ${TRAINING_DIR}/${LANG_CODE}.mfunicharset \
        ${font_props} \
        $(ls ${TRAINING_DIR}/*.tr)
    check_file_readable ${TRAINING_DIR}/inttemp ${TRAINING_DIR}/shapetable \
        ${TRAINING_DIR}/pffmtable ${TRAINING_DIR}/${LANG_CODE}.mfunicharset
    mv ${TRAINING_DIR}/inttemp ${TRAINING_DIR}/${LANG_CODE}.inttemp
    mv ${TRAINING_DIR}/shapetable ${TRAINING_DIR}/${LANG_CODE}.shapetable
    mv ${TRAINING_DIR}/pffmtable ${TRAINING_DIR}/${LANG_CODE}.pffmtable
    mv ${TRAINING_DIR}/${LANG_CODE}.mfunicharset ${TRAINING_DIR}/${LANG_CODE}.unicharset
}

phase_B_generate_ambiguities() {
  tlog "\n=== Phase B : ambiguities training ==="

  # Check for manually created ambiguities data.
  if [[ -r ${LANGDATA_ROOT}/${LANG_CODE}/${LANG_CODE}.unicharambigs ]]; then
      tlog "Found file ${LANGDATA_ROOT}/${LANG_CODE}/${LANG_CODE}.unicharambigs"
      cp ${LANGDATA_ROOT}/${LANG_CODE}/${LANG_CODE}.unicharambigs \
          ${TRAINING_DIR}/${LANG_CODE}.unicharambigs
      # Make it writable, as it may be read-only in the client.
      chmod u+w ${TRAINING_DIR}/${LANG_CODE}.unicharambigs
      return
  else
      tlog "No unicharambigs file found!"
  fi

  # TODO: Add support for generating ambiguities automatically.
}

make__lstmdata() {
  tlog "\n=== Constructing LSTM training data ==="
  local lang_prefix="${LANGDATA_ROOT}/${LANG_CODE}/${LANG_CODE}"
  local lang_is_rtl=""
  if [[ "${LANG_IS_RTL}" == "1" ]]; then
    lang_is_rtl="--lang_is_rtl"
  fi
  local pass_through=""
  if [[ "${NORM_MODE}" -ge "2" ]]; then
    pass_through="--pass_through_recoder"
  fi

  # Build the starter traineddata from the inputs.
  run_command combine_lang_model \
    --input_unicharset "${TRAINING_DIR}/${LANG_CODE}.unicharset" \
    --script_dir "${LANGDATA_ROOT}" \
    --words "${lang_prefix}.wordlist" \
    --numbers "${lang_prefix}.numbers" \
    --puncs "${lang_prefix}.punc" \
    --output_dir "${OUTPUT_DIR}" --lang "${LANG_CODE}" \
    "${pass_through}" "${lang_is_rtl}"

  if $SAVE_BOX_TIFF; then
    tlog "\n=== Saving box/tiff pairs for training data ==="
  for f in "${TRAINING_DIR}/${LANG_CODE}".*.box; do
    tlog "Moving ${f} to ${OUTPUT_DIR}"
    mv "${f}" "${OUTPUT_DIR}"
  done
  for f in "${TRAINING_DIR}/${LANG_CODE}".*.tif; do
    tlog "Moving ${f} to ${OUTPUT_DIR}"
    mv "${f}" "${OUTPUT_DIR}"
  done
  fi

  tlog "\n=== Moving lstmf files for training data ==="
  for f in "${TRAINING_DIR}/${LANG_CODE}".*.lstmf; do
    tlog "Moving ${f} to ${OUTPUT_DIR}"
    mv "${f}" "${OUTPUT_DIR}"
  done
  local lstm_list="${OUTPUT_DIR}/${LANG_CODE}.training_files.txt"
  ls -1 "${OUTPUT_DIR}/${LANG_CODE}".*.lstmf > "${lstm_list}"
}

make__traineddata() {
  tlog "\n=== Making final traineddata file ==="
  local lang_prefix=${LANGDATA_ROOT}/${LANG_CODE}/${LANG_CODE}

  # Combine available files for this language from the langdata dir.
  if [[ -r ${lang_prefix}.config ]]; then
    tlog "Copying ${lang_prefix}.config to ${TRAINING_DIR}"
    cp ${lang_prefix}.config ${TRAINING_DIR}
    chmod u+w ${TRAINING_DIR}/${LANG_CODE}.config
  fi
  if [[ -r ${lang_prefix}.params-model ]]; then
    tlog "Copying ${lang_prefix}.params-model to ${TRAINING_DIR}"
    cp ${lang_prefix}.params-model ${TRAINING_DIR}
    chmod u+w ${TRAINING_DIR}/${LANG_CODE}.params-model
  fi

  # Compose the traineddata file.
  run_command combine_tessdata ${TRAINING_DIR}/${LANG_CODE}.

  # Copy it to the output dir, overwriting only if allowed by the cmdline flag.
  local destfile=${OUTPUT_DIR}/${LANG_CODE}.traineddata;
  if [[ -f ${destfile} ]] && ! $OVERWRITE; then
      err_exit "File ${destfile} exists and no --overwrite specified";
  fi
  tlog "Moving ${TRAINING_DIR}/${LANG_CODE}.traineddata to ${OUTPUT_DIR}"
  cp -f ${TRAINING_DIR}/${LANG_CODE}.traineddata ${destfile}
}

language-specific.sh

#!/bin/bash
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Set some language specific variables. Works in conjunction with
# tesstrain.sh
#

#=============================================================================
# Language specific info
#=============================================================================

# Array of all valid language codes.
VALID_LANGUAGE_CODES="afr amh ara asm aze aze_cyrl bel ben bih bod bos bul cat
                      ceb ces chi_sim chi_tra chr cym cyr_lid dan deu div dzo
                      ell eng enm epo est eus fas fil fin fra frk frm gle glg
                      grc guj hat heb hin hrv hun hye iast iku ind isl ita ita_old
                      jav jav_java jpn kan kat kat_old kaz khm kir kmr kor kur_ara lao lat
                      lat_lid lav lit mal mar mkd mlt msa mya nep nld nor ori
                      pan pol por pus ron rus san sin slk slv snd spa spa_old
                      sqi srp srp_latn swa swe syr tam tel tgk tgl tha tir tur
                      uig ukr urd uzb uzb_cyrl vie yid gle_uncial"

# Codes for which we have webtext but no fonts:
UNUSABLE_LANGUAGE_CODES=""

FRAKTUR_FONTS=(
    "CaslonishFraxx Medium" \
    "Cloister Black, Light" \
    "Proclamate Light" \
    "UnifrakturMaguntia" \
    "Walbaum-Fraktur" \
)

# List of fonts to train on
LATIN_FONTS=(
    "Arial Bold" \
    "Arial Bold Italic" \
    "Arial Italic" \
    "Arial" \
    "Courier New Bold" \
    "Courier New Bold Italic" \
    "Courier New Italic" \
    "Courier New" \
    "Times New Roman, Bold" \
    "Times New Roman, Bold Italic" \
    "Times New Roman, Italic" \
    "Times New Roman," \
    "Georgia Bold" \
    "Georgia Italic" \
    "Georgia" \
    "Georgia Bold Italic" \
    "Trebuchet MS Bold" \
    "Trebuchet MS Bold Italic" \
    "Trebuchet MS Italic" \
    "Trebuchet MS" \
    "Verdana Bold" \
    "Verdana Italic" \
    "Verdana" \
    "Verdana Bold Italic" \
    "URW Bookman L Bold" \
    "URW Bookman L Italic" \
    "URW Bookman L Bold Italic" \
    "Century Schoolbook L Bold" \
    "Century Schoolbook L Italic" \
    "Century Schoolbook L Bold Italic" \
    "Century Schoolbook L Medium" \
    "DejaVu Sans Ultra-Light" \
)

# List of fonts for printed/neo-Latin ('lat' language code, different from Latin script)
NEOLATIN_FONTS=(
    "GFS Bodoni" \
    "GFS Bodoni Bold" \
    "GFS Bodoni Italic" \
    "GFS Bodoni Bold Italic" \
    "GFS Didot" \
    "GFS Didot Bold" \
    "GFS Didot Italic" \
    "GFS Didot Bold Italic" \
    "Cardo" \
    "Cardo Bold" \
    "Cardo Italic" \
    "Wyld" \
    "Wyld Italic" \
    "EB Garamond" \
    "EB Garamond Italic" \
    "Junicode" \
    "Junicode Bold" \
    "Junicode Italic" \
    "Junicode Bold Italic" \
    "IM FELL DW Pica PRO" \
    "IM FELL English PRO" \
    "IM FELL Double Pica PRO" \
    "IM FELL French Canon PRO" \
    "IM FELL Great Primer PRO" \
    "IM FELL DW Pica PRO Italic" \
    "IM FELL English PRO Italic" \
    "IM FELL Double Pica PRO Italic" \
    "IM FELL French Canon PRO Italic" \
    "IM FELL Great Primer PRO Italic" \
)

IRISH_UNCIAL_FONTS=(
  "Bunchlo Arsa Dubh GC" \
  "Bunchlo Arsa GC" \
  "Bunchlo Arsa GC Bold" \
  "Bunchlo Dubh GC" \
  "Bunchlo GC" \
  "Bunchlo GC Bold" \
  "Bunchlo Nua GC Bold" \
  "Bunchló na Nod GC" \
  "Gadelica" \
  "Glanchlo Dubh GC" \
  "Glanchlo GC" \
  "Glanchlo GC Bold" \
  "Seanchló Dubh GC" \
  "Seanchló GC" \
  "Seanchló GC Bold" \
  "Seanchló na Nod GC" \
  "Seanchló Ársa Dubh GC" \
  "Seanchló Ársa GC" \
  "Seanchló Ársa GC Bold" \
  "Tromchlo Beag GC" \
  "Tromchlo Mor GC" \
  "Urchlo GC" \
  "Urchlo GC Bold" \
)

EARLY_LATIN_FONTS=(
    "${FRAKTUR_FONTS[@]}" \
    "${LATIN_FONTS[@]}" \
    # The Wyld font family renders early modern ligatures encoded in the private
    # unicode area.
    "Wyld" \
    "Wyld Italic" \
    # Fonts that render the Yogh symbol (U+021C, U+021D) found in Old English.
    "GentiumAlt" \
)

VIETNAMESE_FONTS=( \
    "Arial Unicode MS Bold" \
    "Arial Bold Italic" \
    "Arial Italic" \
    "Arial Unicode MS" \
    "FreeMono Bold" \
    "Courier New Bold Italic" \
    "FreeMono Italic" \
    "FreeMono" \
    "GentiumAlt Italic" \
    "GentiumAlt" \
    "Palatino Linotype Bold" \
    "Palatino Linotype Bold Italic" \
    "Palatino Linotype Italic" \
    "Palatino Linotype" \
    "Really No 2 LT W2G Light" \
    "Really No 2 LT W2G Light Italic" \
    "Really No 2 LT W2G Medium" \
    "Really No 2 LT W2G Medium Italic" \
    "Really No 2 LT W2G Semi-Bold" \
    "Really No 2 LT W2G Semi-Bold Italic" \
    "Really No 2 LT W2G Ultra-Bold" \
    "Really No 2 LT W2G Ultra-Bold Italic" \
    "Times New Roman, Bold" \
    "Times New Roman, Bold Italic" \
    "Times New Roman, Italic" \
    "Times New Roman," \
    "Verdana Bold" \
    "Verdana Italic" \
    "Verdana" \
    "Verdana Bold Italic" \
    "VL Gothic" \
    "VL PGothic" \
    )

DEVANAGARI_FONTS=( \
    "FreeSans" \
    "Chandas" \
    "Kalimati" \
    "Uttara" \
    "Lucida Sans" \
    "gargi Medium" \
    "Lohit Devanagari" \
    "Arial Unicode MS Bold" \
    "Ascender Uni" \
    "Noto Sans Devanagari Bold" \
    "Noto Sans Devanagari" \
    "Samyak Devanagari Medium" \
    "Sarai" \
    "Saral LT Bold" \
    "Saral LT Light" \
    "Nakula" \
    "Sahadeva" \
    "Samanata" \
    "Santipur OT Medium" \
    )

KANNADA_FONTS=( \
    "Kedage Bold" \
    "Kedage Italic" \
    "Kedage" \
    "Kedage Bold Italic" \
    "Mallige Bold" \
    "Mallige Italic" \
    "Mallige" \
    "Mallige Bold Italic" \
    "Arial Unicode MS" \
    "Arial Unicode MS Bold" \
    "Ascender Uni" \
    "cheluvi Medium" \
    "Noto Sans Kannada Bold" \
    "Noto Sans Kannada" \
    "Lohit Kannada" \
    "Tunga" \
    "Tunga Bold" \
    )

TELUGU_FONTS=( \
    "Pothana2000" \
    "Vemana2000" \
    "Lohit Telugu" \
    "Arial Unicode MS Bold" \
    "Ascender Uni" \
    "Dhurjati" \
    "Gautami Bold" \
    "Gidugu" \
    "Gurajada" \
    "Lakki Reddy" \
    "Mallanna" \
    "Mandali" \
    "NATS" \
    "NTR" \
    "Noto Sans Telugu Bold" \
    "Noto Sans Telugu" \
    "Peddana" \
    "Ponnala" \
    "Ramabhadra" \
    "Ravi Prakash" \
    "Sree Krushnadevaraya" \
    "Suranna" \
    "Suravaram" \
    "Tenali Ramakrishna" \
    "Gautami" \
    )

TAMIL_FONTS=( \
    "TAMu_Kadambri" \
    "TAMu_Kalyani" \
    "TAMu_Maduram" \
    "TSCu_Paranar" \
    "TSCu_Times" \
    "TSCu_Paranar Bold" \
    "FreeSans" \
    "FreeSerif" \
    "Lohit Tamil" \
    "Arial Unicode MS Bold" \
    "Ascender Uni" \
    "Droid Sans Tamil Bold" \
    "Droid Sans Tamil" \
    "Karla Tamil Inclined Bold Italic" \
    "Karla Tamil Inclined Italic" \
    "Karla Tamil Upright Bold" \
    "Karla Tamil Upright" \
    "Noto Sans Tamil Bold" \
    "Noto Sans Tamil" \
    "Noto Sans Tamil UI Bold" \
    "Noto Sans Tamil UI" \
    "TSCu_Comic Normal" \
    "Lohit Tamil Classical" \
    )

THAI_FONTS=( \
    "FreeSerif" \
    "FreeSerif Italic" \
    "Garuda" \
    "Norasi" \
    "Lucida Sans Typewriter" \
    "Lucida Sans" \
    "Garuda Oblique" \
    "Norasi Oblique" \
    "Norasi Italic" \
    "Garuda Bold" \
    "Norasi Bold" \
    "Lucida Sans Typewriter Bold" \
    "Lucida Sans Semi-Bold" \
    "Garuda Bold Oblique" \
    "Norasi Bold Italic" \
    "Norasi Bold Oblique" \
    "AnuParp LT Thai" \
    "Arial Unicode MS Bold" \
    "Arial Unicode MS" \
    "Ascender Uni" \
    "Loma" \
    "Noto Serif Thai Bold" \
    "Noto Serif Thai" \
    "Purisa Light" \
    "Sirichana LT Bold" \
    "Sirichana LT" \
    "Sukothai LT Bold" \
    "Sukothai LT" \
    "UtSaHaGumm LT Thai" \
    "Tahoma" \
    )

KOREAN_FONTS=( \
    "Arial Unicode MS" \
    "Arial Unicode MS Bold" \
    "Baekmuk Batang Patched" \
    "Baekmuk Batang" \
    "Baekmuk Dotum" \
    "Baekmuk Gulim" \
    "Baekmuk Headline" \
    )

CHI_SIM_FONTS=( \
    "AR PL UKai CN" \
    "AR PL UMing Patched Light" \
    "Arial Unicode MS" \
    "Arial Unicode MS Bold" \
    "WenQuanYi Zen Hei Medium" \
    )

CHI_TRA_FONTS=( \
    "AR PL UKai TW" \
    "AR PL UMing TW MBE Light" \
    "AR PL UKai Patched" \
    "AR PL UMing Patched Light" \
    "Arial Unicode MS" \
    "Arial Unicode MS Bold" \
    "WenQuanYi Zen Hei Medium" \
    )

JPN_FONTS=( \
    "TakaoExGothic" \
    "TakaoExMincho" \
    "TakaoGothic" \
    "TakaoMincho" \
    "TakaoPGothic" \
    "TakaoPMincho" \
    "VL Gothic" \
    "VL PGothic" \
    "Noto Sans Japanese Bold" \
    "Noto Sans Japanese Light" \
    )

RUSSIAN_FONTS=( \
    "Arial Bold" \
    "Arial Bold Italic" \
    "Arial Italic" \
    "Arial" \
    "Courier New Bold" \
    "Courier New Bold Italic" \
    "Courier New Italic" \
    "Courier New" \
    "Times New Roman, Bold" \
    "Times New Roman, Bold Italic" \
    "Times New Roman, Italic" \
    "Times New Roman," \
    "Georgia Bold" \
    "Georgia Italic" \
    "Georgia" \
    "Georgia Bold Italic" \
    "Trebuchet MS Bold" \
    "Trebuchet MS Bold Italic" \
    "Trebuchet MS Italic" \
    "Trebuchet MS" \
    "Verdana Bold" \
    "Verdana Italic" \
    "Verdana" \
    "Verdana Bold Italic" \
    "DejaVu Serif" \
    "DejaVu Serif Oblique" \
    "DejaVu Serif Bold" \
    "DejaVu Serif Bold Oblique" \
    "Lucida Bright" \
    "FreeSerif Bold" \
    "FreeSerif Bold Italic" \
    "DejaVu Sans Ultra-Light" \
    )

GREEK_FONTS=( \
    "Arial Unicode MS" \
    "Arial Unicode MS Bold" \
    "DejaVu Sans Mono" \
    "DejaVu Sans Mono Oblique" \
    "DejaVu Sans Mono Bold" \
    "DejaVu Sans Mono Bold Oblique" \
    "DejaVu Serif" \
    "DejaVu Serif Semi-Condensed" \
    "DejaVu Serif Oblique" \
    "DejaVu Serif Bold" \
    "DejaVu Serif Bold Oblique" \
    "DejaVu Serif Bold Semi-Condensed" \
    "FreeSerif Bold" \
    "FreeSerif Bold Italic" \
    "FreeSerif Italic" \
    "FreeSerif" \
    "GentiumAlt" \
    "GentiumAlt Italic" \
    "Linux Biolinum O Bold" \
    "Linux Biolinum O" \
    "Linux Libertine O Bold" \
    "Linux Libertine O" \
    "Linux Libertine O Bold Italic" \
    "Linux Libertine O Italic" \
    "Palatino Linotype Bold" \
    "Palatino Linotype Bold Italic" \
    "Palatino Linotype Italic" \
    "Palatino Linotype" \
    "UmePlus P Gothic" \
    "VL PGothic" \
    )

ANCIENT_GREEK_FONTS=( \
    "GFS Artemisia" \
    "GFS Artemisia Bold" \
    "GFS Artemisia Bold Italic" \
    "GFS Artemisia Italic" \
    "GFS Bodoni" \
    "GFS Bodoni Bold" \
    "GFS Bodoni Bold Italic" \
    "GFS Bodoni Italic" \
    "GFS Didot" \
    "GFS Didot Bold" \
    "GFS Didot Bold Italic" \
    "GFS Didot Italic" \
    "GFS DidotClassic" \
    "GFS Neohellenic" \
    "GFS Neohellenic Bold" \
    "GFS Neohellenic Bold Italic" \
    "GFS Neohellenic Italic" \
    "GFS Philostratos" \
    "GFS Porson" \
    "GFS Pyrsos" \
    "GFS Solomos" \
    )

ARABIC_FONTS=( \
    "Arabic Transparent Bold" \
    "Arabic Transparent" \
    "Arab" \
    "Arial Unicode MS Bold" \
    "Arial Unicode MS" \
    "ASVCodar LT Bold" \
    "ASVCodar LT Light" \
    "Badiya LT Bold" \
    "Badiya LT" \
    "Badr LT Bold" \
    "Badr LT" \
    "Dimnah" \
    "Frutiger LT Arabic Bold" \
    "Frutiger LT Arabic" \
    "Furat" \
    "Hassan LT Bold" \
    "Hassan LT Light" \
    "Jalal LT Bold" \
    "Jalal LT Light" \
    "Midan Bold" \
    "Midan" \
    "Mitra LT Bold" \
    "Mitra LT Light" \
    "Palatino LT Arabic" \
    "Palatino Sans Arabic Bold" \
    "Palatino Sans Arabic" \
    "Simplified Arabic Bold" \
    "Simplified Arabic" \
    "Times New Roman, Bold" \
    "Times New Roman," \
    "Traditional Arabic Bold" \
    "Traditional Arabic" \
    )

HEBREW_FONTS=( \
    "Arial Bold" \
    "Arial Bold Italic" \
    "Arial Italic" \
    "Arial" \
    "Courier New Bold" \
    "Courier New Bold Italic" \
    "Courier New Italic" \
    "Courier New" \
    "Ergo Hebrew Semi-Bold" \
    "Ergo Hebrew Semi-Bold Italic" \
    "Ergo Hebrew" \
    "Ergo Hebrew Italic" \
    "Really No 2 LT W2G Light" \
    "Really No 2 LT W2G Light Italic" \
    "Really No 2 LT W2G Medium" \
    "Really No 2 LT W2G Medium Italic" \
    "Really No 2 LT W2G Semi-Bold" \
    "Really No 2 LT W2G Semi-Bold Italic" \
    "Really No 2 LT W2G Ultra-Bold" \
    "Really No 2 LT W2G Ultra-Bold Italic" \
    "Times New Roman, Bold" \
    "Times New Roman, Bold Italic" \
    "Times New Roman, Italic" \
    "Times New Roman," \
    "Lucida Sans" \
    "Tahoma" \
    )

BENGALI_FONTS=( \
    "Bangla Medium" \
    "Lohit Bengali" \
    "Mukti Narrow" \
    "Mukti Narrow Bold" \
    "Jamrul Medium Semi-Expanded" \
    "Likhan Medium" \
    "Arial Unicode MS Bold" \
    "Ascender Uni" \
    "FreeSans" \
    "FreeSans Oblique" \
    "FreeSerif" \
    "FreeSerif Italic" \
    "Noto Sans Bengali Bold" \
    "Noto Sans Bengali" \
    "Ani" \
    "Lohit Assamese" \
    "Lohit Bengali" \
    "Mitra Mono" \
    )

KYRGYZ_FONTS=( \
    "Arial" \
    "Arial Bold" \
    "Arial Italic" \
    "Arial Bold Italic" \
    "Courier New" \
    "Courier New Bold" \
    "Courier New Italic" \
    "Courier New Bold Italic" \
    "Times New Roman," \
    "Times New Roman, Bold" \
    "Times New Roman, Bold Italic" \
    "Times New Roman, Italic" \
    "DejaVu Serif" \
    "DejaVu Serif Oblique" \
    "DejaVu Serif Bold" \
    "DejaVu Serif Bold Oblique" \
    "Lucida Bright" \
    "FreeSerif Bold" \
    "FreeSerif Bold Italic" \
    )

PERSIAN_FONTS=( \
    "Amiri Bold Italic" \
    "Amiri Bold" \
    "Amiri Italic" \
    "Amiri" \
    "Andale Sans Arabic Farsi" \
    "Arial Unicode MS" \
    "Arial Unicode MS Bold" \
    "Lateef" \
    "Lucida Bright" \
    "Lucida Sans Oblique" \
    "Lucida Sans Semi-Bold" \
    "Lucida Sans" \
    "Lucida Sans Typewriter Bold" \
    "Lucida Sans Typewriter Oblique" \
    "Lucida Sans Typewriter" \
    "Scheherazade" \
    "Tahoma" \
    "Times New Roman," \
    "Times New Roman, Bold" \
    "Times New Roman, Bold Italic" \
    "Times New Roman, Italic" \
    "Yakout Linotype Bold" \
    "Yakout Linotype" \
    )

AMHARIC_FONTS=( \
    "Abyssinica SIL" \
    "Droid Sans Ethiopic Bold" \
    "Droid Sans Ethiopic" \
    "FreeSerif" \
    "Noto Sans Ethiopic Bold" \
    "Noto Sans Ethiopic" \
    )

ARMENIAN_FONTS=( \
    "Arial Unicode MS" \
    "Arial Unicode MS Bold" \
    "Ascender Uni" \
    "FreeMono" \
    "FreeMono Italic" \
    "FreeSans" \
    "FreeSans Bold" \
    "FreeSans Oblique" \
    )

BURMESE_FONTS=( \
    "Myanmar Sans Pro" \
    "Noto Sans Myanmar Bold" \
    "Noto Sans Myanmar" \
    "Padauk Bold" \
    "Padauk" \
    "TharLon" \
    )

JAVANESE_FONTS=( \
    "Prada" \
    )

NORTH_AMERICAN_ABORIGINAL_FONTS=( \
    "Aboriginal Sans" \
    "Aboriginal Sans Bold Italic" \
    "Aboriginal Sans Italic" \
    "Aboriginal Sans Bold" \
    "Aboriginal Serif Bold" \
    "Aboriginal Serif Bold Italic" \
    "Aboriginal Serif Italic" \
    "Aboriginal Serif" \
    )

GEORGIAN_FONTS=( \
    "Arial Unicode MS Bold" \
    "Arial Unicode MS" \
    "BPG Algeti GPL\&GNU" \
    "BPG Chveulebrivi GPL\&GNU" \
    "BPG Courier GPL\&GNU" \
    "BPG Courier S GPL\&GNU" \
    "BPG DejaVu Sans 2011 GNU-GPL" \
    "BPG Elite GPL\&GNU" \
    "BPG Excelsior GPL\&GNU" \
    "BPG Glaho GPL\&GNU" \
    "BPG Gorda GPL\&GNU" \
    "BPG Ingiri GPL\&GNU" \
    "BPG Mrgvlovani Caps GNU\&GPL" \
    "BPG Mrgvlovani GPL\&GNU" \
    "BPG Nateli Caps GPL\&GNU Light" \
    "BPG Nateli Condenced GPL\&GNU Light" \
    "BPG Nateli GPL\&GNU Light" \
    "BPG Nino Medium Cond GPL\&GNU" \
    "BPG Nino Medium GPL\&GNU Medium" \
    "BPG Sans GPL\&GNU" \
    "BPG Sans Medium GPL\&GNU" \
    "BPG Sans Modern GPL\&GNU" \
    "BPG Sans Regular GPL\&GNU" \
    "BPG Serif GPL\&GNU" \
    "BPG Serif Modern GPL\&GNU" \
    "FreeMono" \
    "FreeMono Bold Italic" \
    "FreeSans" \
    "FreeSerif" \
    "FreeSerif Bold" \
    "FreeSerif Bold Italic" \
    "FreeSerif Italic" \
    )

OLD_GEORGIAN_FONTS=( \
    "Arial Unicode MS Bold" \
    "Arial Unicode MS" \
    "BPG Algeti GPL\&GNU" \
    "BPG Courier S GPL\&GNU" \
    "BPG DejaVu Sans 2011 GNU-GPL" \
    "BPG Elite GPL\&GNU" \
    "BPG Excelsior GPL\&GNU" \
    "BPG Glaho GPL\&GNU" \
    "BPG Ingiri GPL\&GNU" \
    "BPG Mrgvlovani Caps GNU\&GPL" \
    "BPG Mrgvlovani GPL\&GNU" \
    "BPG Nateli Caps GPL\&GNU Light" \
    "BPG Nateli Condenced GPL\&GNU Light" \
    "BPG Nateli GPL\&GNU Light" \
    "BPG Nino Medium Cond GPL\&GNU" \
    "BPG Nino Medium GPL\&GNU Medium" \
    "BPG Sans GPL\&GNU" \
    "BPG Sans Medium GPL\&GNU" \
    "BPG Sans Modern GPL\&GNU" \
    "BPG Sans Regular GPL\&GNU" \
    "BPG Serif GPL\&GNU" \
    "BPG Serif Modern GPL\&GNU" \
    "FreeSans" \
    "FreeSerif" \
    "FreeSerif Bold" \
    "FreeSerif Bold Italic" \
    "FreeSerif Italic" \
    )

KHMER_FONTS=( \
    "Khmer OS" \
    "Khmer OS System" \
    "Khmer OS Battambang" \
    "Khmer OS Bokor" \
    "Khmer OS Content" \
    "Khmer OS Fasthand" \
    "Khmer OS Freehand" \
    "Khmer OS Metal Chrieng" \
    "Khmer OS Muol Light" \
    "Khmer OS Muol Pali" \
    "Khmer OS Muol" \
    "Khmer OS Siemreap" \
    "Noto Sans Bold" \
    "Noto Sans" \
    "Noto Serif Khmer Bold" \
    "Noto Serif Khmer Light" \
    )

KURDISH_FONTS=( \
    "Amiri Bold Italic" \
    "Amiri Bold" \
    "Amiri Italic" \
    "Amiri" \
    "Arial Unicode MS" \
    "Arial Unicode MS Bold" \
    "Lateef" \
    "Lucida Bright" \
    "Lucida Sans Oblique" \
    "Lucida Sans Semi-Bold" \
    "Lucida Sans" \
    "Lucida Sans Typewriter Bold" \
    "Lucida Sans Typewriter Oblique" \
    "Lucida Sans Typewriter" \
    "Scheherazade" \
    "Tahoma" \
    "Times New Roman," \
    "Times New Roman, Bold" \
    "Times New Roman, Bold Italic" \
    "Times New Roman, Italic" \
    "Unikurd Web" \
    "Yakout Linotype Bold" \
    "Yakout Linotype" \
    )

LAOTHIAN_FONTS=( \
    "Phetsarath OT" \
    "Arial Unicode MS" \
    "Arial Unicode MS Bold" \
    "Ascender Uni" \
    "Dhyana Bold" \
    "Dhyana" \
    "Lao Muang Don" \
    "Lao Muang Khong" \
    "Lao Sans Pro" \
    "Noto Sans Lao Bold" \
    "Noto Sans Lao" \
    "Noto Sans Lao UI Bold" \
    "Noto Sans Lao UI" \
    "Noto Serif Lao Bold" \
    "Noto Serif Lao" \
    "Phetsarath Bold" \
    "Phetsarath" \
    "Souliyo Unicode" \
)

GUJARATI_FONTS=( \
    "Lohit Gujarati" \
    "Rekha Medium" \
    "Samyak Gujarati Medium" \
    "aakar Medium" \
    "padmaa Bold" \
    "padmaa Medium" \
    "Arial Unicode MS" \
    "Arial Unicode MS Bold" \
    "Ascender Uni" \
    "FreeSans" \
    "Noto Sans Gujarati Bold" \
    "Noto Sans Gujarati" \
    "Shruti" \
    "Shruti Bold" \
    )

MALAYALAM_FONTS=( \
    "AnjaliOldLipi" \
    "Arial Unicode MS" \
    "Arial Unicode MS Bold" \
    "Ascender Uni" \
    "Dyuthi" \
    "FreeSerif" \
    "Kalyani" \
    "Kartika" \
    "Kartika Bold" \
    "Lohit Malayalam" \
    "Meera" \
    "Noto Sans Malayalam Bold" \
    "Noto Sans Malayalam" \
    "Rachana" \
    "Rachana_w01" \
    "RaghuMalayalam" \
    "suruma" \
    )

ORIYA_FONTS=( \
    "Arial Unicode MS" \
    "Arial Unicode MS Bold" \
    "Ascender Uni" \
    "ori1Uni Medium" \
    "Samyak Oriya Medium" \
    "Lohit Oriya" \
    )

PUNJABI_FONTS=( \
    "Arial Unicode MS" \
    "Arial Unicode MS Bold" \
    "Ascender Uni" \
    "Saab" \
    "Lohit Punjabi" \
    "Noto Sans Gurmukhi" \
    "Noto Sans Gurmukhi Bold" \
    "FreeSans" \
    "FreeSans Bold" \
    "FreeSerif" \
    )

SINHALA_FONTS=( \
    "Noto Sans Sinhala Bold" \
    "Noto Sans Sinhala" \
    "OCRUnicode" \
    "Yagpo" \
    "LKLUG" \
    "FreeSerif" \
    )

SYRIAC_FONTS=( \
    "East Syriac Adiabene" \
    "East Syriac Ctesiphon" \
    "Estrangelo Antioch" \
    "Estrangelo Edessa" \
    "Estrangelo Midyat" \
    "Estrangelo Nisibin" \
    "Estrangelo Quenneshrin" \
    "Estrangelo Talada" \
    "Estrangelo TurAbdin" \
    "Serto Batnan Bold" \
    "Serto Batnan" \
    "Serto Jerusalem Bold" \
    "Serto Jerusalem Italic" \
    "Serto Jerusalem" \
    "Serto Kharput" \
    "Serto Malankara" \
    "Serto Mardin Bold" \
    "Serto Mardin" \
    "Serto Urhoy Bold" \
    "Serto Urhoy" \
    "FreeSans" \
    )

THAANA_FONTS=( \
    "FreeSerif" \
    )

TIBETAN_FONTS=( \
    "Arial Unicode MS" \
    "Arial Unicode MS Bold" \
    "Ascender Uni" \
    "DDC Uchen" \
    "Jomolhari" \
    "Kailasa" \
    "Kokonor" \
    "Tibetan Machine Uni" \
    "TibetanTsugRing" \
    "Yagpo" \
    )

# The following fonts will be rendered vertically in phase I.
VERTICAL_FONTS=( \
    "TakaoExGothic" \ # for jpn
    "TakaoExMincho" \ # for jpn
    "AR PL UKai Patched" \ # for chi_tra
    "AR PL UMing Patched Light" \ # for chi_tra
    "Baekmuk Batang Patched" \ # for kor
    )

FLAGS_webtext_prefix=${FLAGS_webtext_prefix:-}

# Set language-specific values for several global variables, including
#   ${TEXT_CORPUS}
#      holds the text corpus file for the language, used in phase F
#   ${FONTS[@]}
#      holds a sequence of applicable fonts for the language, used in
#      phase F & I. only set if not already set, i.e. from command line
#   ${TRAINING_DATA_ARGUMENTS}
#      non-default arguments to the training_data program used in phase T
#   ${FILTER_ARGUMENTS} -
#      character-code-specific filtering to distinguish between scripts
#      (eg. CJK) used by filter_borbidden_characters in phase F
#   ${WORDLIST2DAWG_ARGUMENTS}
#      specify fixed length dawg generation for non-space-delimited lang
# TODO(dsl): We can refactor these into functions that assign FONTS,
# TEXT_CORPUS, etc. separately.
set_lang_specific_parameters() {
  local lang=$1
  # The default text location is now given directly from the language code.
  TEXT_CORPUS="${FLAGS_webtext_prefix}/${lang}.corpus.txt"
  FILTER_ARGUMENTS=""
  WORDLIST2DAWG_ARGUMENTS=""
  # These dawg factors represent the fraction of the corpus not covered by the
  # dawg, and seem like reasonable defaults, but the optimal value is likely
  # to be highly corpus-dependent, as well as somewhat language-dependent.
  # Number dawg factor is the fraction of all numeric strings that are not
  # covered, which is why it is higher relative to the others.
  PUNC_DAWG_FACTOR=
  NUMBER_DAWG_FACTOR=0.125
  WORD_DAWG_FACTOR=0.05
  BIGRAM_DAWG_FACTOR=0.015
  TRAINING_DATA_ARGUMENTS=""
  FRAGMENTS_DISABLED="y"
  RUN_SHAPE_CLUSTERING=false
  AMBIGS_FILTER_DENOMINATOR="100000"
  LEADING="32"
  MEAN_COUNT="40"  # Default for latin script.
  # Language to mix with the language for maximum accuracy. Defaults to eng.
  # If no language is good, set to the base language.
  MIX_LANG="eng"
  EXPOSURES=${EXPOSURES:-}
  FONTS=${FONTS:-}

  case ${lang} in
    # Latin languages.
    enm ) TEXT2IMAGE_EXTRA_ARGS=" --ligatures"   # Add ligatures when supported
          test -z "$FONTS" && FONTS=( "${EARLY_LATIN_FONTS[@]}" );;
    frm ) TEXT_CORPUS="${FLAGS_webtext_prefix}/fra.corpus.txt"
          # Make long-s substitutions for Middle French text
          FILTER_ARGUMENTS="--make_early_language_variant=fra"
          TEXT2IMAGE_EXTRA_ARGS=" --ligatures"   # Add ligatures when supported.
          test -z "$FONTS" && FONTS=( "${EARLY_LATIN_FONTS[@]}" );;
    frk ) TEXT_CORPUS="${FLAGS_webtext_prefix}/deu.corpus.txt"
          test -z "$FONTS" && FONTS=( "${FRAKTUR_FONTS[@]}" );;
    ita_old )
          TEXT_CORPUS="${FLAGS_webtext_prefix}/ita.corpus.txt"
          # Make long-s substitutions for Early Italian text
          FILTER_ARGUMENTS="--make_early_language_variant=ita"
          TEXT2IMAGE_EXTRA_ARGS=" --ligatures"   # Add ligatures when supported.
          test -z "$FONTS" && FONTS=( "${EARLY_LATIN_FONTS[@]}" );;
    lat )
          test -z "$EXPOSURES" && EXPOSURES="-3 -2 -1 0 1 2 3"
          test -z "$FONTS" && FONTS=( "${NEOLATIN_FONTS[@]}" ) ;;
    spa_old )
          TEXT_CORPUS="${FLAGS_webtext_prefix}/spa.corpus.txt"
          # Make long-s substitutions for Early Spanish text
          FILTER_ARGUMENTS="--make_early_language_variant=spa"
          TEXT2IMAGE_EXTRA_ARGS=" --ligatures"  # Add ligatures when supported.
          test -z "$FONTS" && FONTS=( "${EARLY_LATIN_FONTS[@]}" );;
    srp_latn )
          TEXT_CORPUS=${FLAGS_webtext_prefix}/srp.corpus.txt ;;
    vie ) TRAINING_DATA_ARGUMENTS+=" --infrequent_ratio=10000"
          test -z "$FONTS" && FONTS=( "${VIETNAMESE_FONTS[@]}" ) ;;
    # Highly inflective languages get a bigger dawg size.
    # TODO(rays) Add more here!
    hun ) WORD_DAWG_SIZE=1000000 ;;
    pol ) WORD_DAWG_SIZE=1000000 ;;

    # Latin with default treatment.
    afr ) ;;
    aze ) ;;
    bos ) ;;
    cat ) ;;
    ceb ) ;;
    ces ) PUNC_DAWG_FACTOR=0.004 ;;
    cym ) ;;
    dan ) ;;
    deu ) WORD_DAWG_FACTOR=0.125 ;;
    eng ) WORD_DAWG_FACTOR=0.03 ;;
    epo ) ;;
    est ) ;;
    eus ) ;;
    fil ) ;;
    fin ) ;;
    fra ) WORD_DAWG_FACTOR=0.08 ;;
    gle ) ;;
    gle_uncial ) test -z "$FONTS" && FONTS=( "${IRISH_UNCIAL_FONTS[@]}" );;
    glg ) ;;
    hat ) ;;
    hrv ) ;;
    iast ) ;;
    ind ) ;;
    isl ) ;;
    ita ) ;;
    jav ) ;;
    lav ) ;;
    lit ) ;;
    mlt ) ;;
    msa ) ;;
    nld ) WORD_DAWG_FACTOR=0.02 ;;
    nor ) ;;
    por ) ;;
    ron ) ;;
    slk ) ;;
    slv ) ;;
    spa ) ;;
    sqi ) ;;
    swa ) ;;
    swe ) ;;
    tgl ) ;;
    tur ) ;;
    uzb ) ;;
    zlm ) ;;

    # Special code for performing language-id that is trained on
    # EFIGS+Latin+Vietnamese text with regular + fraktur fonts.
    lat_lid )
          TEXT_CORPUS=${FLAGS_webtext_prefix}/lat_lid.corpus.txt
          TRAINING_DATA_ARGUMENTS+=" --infrequent_ratio=10000"
          GENERATE_WORD_BIGRAMS=0
          # Strip unrenderable words as not all fonts will render the extended
          # latin symbols found in Vietnamese text.
          WORD_DAWG_SIZE=1000000
          test -z "$FONTS" && FONTS=( "${EARLY_LATIN_FONTS[@]}" );;

    # Cyrillic script-based languages. It is bad to mix Latin with Cyrillic.
    rus ) test -z "$FONTS" && FONTS=( "${RUSSIAN_FONTS[@]}" )
          MIX_LANG="rus"
          NUMBER_DAWG_FACTOR=0.05
          WORD_DAWG_SIZE=1000000 ;;
    aze_cyrl | bel | bul | kaz | mkd | srp | tgk | ukr | uzb_cyrl )
          MIX_LANG="${lang}"
          test -z "$FONTS" && FONTS=( "${RUSSIAN_FONTS[@]}" ) ;;

    # Special code for performing Cyrillic language-id that is trained on
    # Russian, Serbian, Ukrainian, Belarusian, Macedonian, Tajik and Mongolian
    # text with the list of Russian fonts.
    cyr_lid )
          TEXT_CORPUS=${FLAGS_webtext_prefix}/cyr_lid.corpus.txt
          TRAINING_DATA_ARGUMENTS+=" --infrequent_ratio=10000"
          GENERATE_WORD_BIGRAMS=0
          WORD_DAWG_SIZE=1000000
          test -z "$FONTS" && FONTS=( "${RUSSIAN_FONTS[@]}" );;

    # South Asian scripts mostly have a lot of different graphemes, so trim
    # down the MEAN_COUNT so as not to get a huge amount of text.
    asm | ben )
          MEAN_COUNT="15"
          WORD_DAWG_FACTOR=0.15
          test -z "$FONTS" && FONTS=( "${BENGALI_FONTS[@]}" ) ;;
    bih | hin | mar | nep | san )
          MEAN_COUNT="15"
          WORD_DAWG_FACTOR=0.15
          test -z "$FONTS" && FONTS=( "${DEVANAGARI_FONTS[@]}" ) ;;
    bod ) MEAN_COUNT="15"
          WORD_DAWG_FACTOR=0.15
          test -z "$FONTS" && FONTS=( "${TIBETAN_FONTS[@]}" ) ;;
    dzo )
          WORD_DAWG_FACTOR=0.01
          test -z "$FONTS" && FONTS=( "${TIBETAN_FONTS[@]}" ) ;;
    guj ) MEAN_COUNT="15"
          WORD_DAWG_FACTOR=0.15
          test -z "$FONTS" && FONTS=( "${GUJARATI_FONTS[@]}" ) ;;
    kan ) MEAN_COUNT="15"
          WORD_DAWG_FACTOR=0.15
          TRAINING_DATA_ARGUMENTS+=" --no_newline_in_output"
          TEXT2IMAGE_EXTRA_ARGS=" --char_spacing=0.5"
          test -z "$FONTS" && FONTS=( "${KANNADA_FONTS[@]}" ) ;;
    mal ) MEAN_COUNT="15"
          WORD_DAWG_FACTOR=0.15
          TRAINING_DATA_ARGUMENTS+=" --no_newline_in_output"
          TEXT2IMAGE_EXTRA_ARGS=" --char_spacing=0.5"
          test -z "$FONTS" && FONTS=( "${MALAYALAM_FONTS[@]}" ) ;;
    ori )
          WORD_DAWG_FACTOR=0.01
          test -z "$FONTS" && FONTS=( "${ORIYA_FONTS[@]}" ) ;;
    pan ) MEAN_COUNT="15"
          WORD_DAWG_FACTOR=0.01
          test -z "$FONTS" && FONTS=( "${PUNJABI_FONTS[@]}" ) ;;
    sin ) MEAN_COUNT="15"
          WORD_DAWG_FACTOR=0.01
          test -z "$FONTS" && FONTS=( "${SINHALA_FONTS[@]}" ) ;;
    tam ) MEAN_COUNT="30"
          WORD_DAWG_FACTOR=0.15
          TRAINING_DATA_ARGUMENTS+=" --no_newline_in_output"
          TEXT2IMAGE_EXTRA_ARGS=" --char_spacing=0.5"
          test -z "$FONTS" && FONTS=( "${TAMIL_FONTS[@]}" ) ;;
    tel ) MEAN_COUNT="15"
          WORD_DAWG_FACTOR=0.15
          TRAINING_DATA_ARGUMENTS+=" --no_newline_in_output"
          TEXT2IMAGE_EXTRA_ARGS=" --char_spacing=0.5"
          test -z "$FONTS" && FONTS=( "${TELUGU_FONTS[@]}" ) ;;

    # SouthEast Asian scripts.
    jav_java ) MEAN_COUNT="15"
          WORD_DAWG_FACTOR=0.15
          TRAINING_DATA_ARGUMENTS+=" --infrequent_ratio=10000"
          test -z "$FONTS" && FONTS=( "${JAVANESE_FONTS[@]}" ) ;;
    khm ) MEAN_COUNT="15"
          WORD_DAWG_FACTOR=0.15
          TRAINING_DATA_ARGUMENTS+=" --infrequent_ratio=10000"
          test -z "$FONTS" && FONTS=( "${KHMER_FONTS[@]}" ) ;;
    lao ) MEAN_COUNT="15"
          WORD_DAWG_FACTOR=0.15
          TRAINING_DATA_ARGUMENTS+=" --infrequent_ratio=10000"
          test -z "$FONTS" && FONTS=( "${LAOTHIAN_FONTS[@]}" ) ;;
    mya ) MEAN_COUNT="12"
          WORD_DAWG_FACTOR=0.15
          TRAINING_DATA_ARGUMENTS+=" --infrequent_ratio=10000"
          test -z "$FONTS" && FONTS=( "${BURMESE_FONTS[@]}" ) ;;
    tha ) MEAN_COUNT="30"
          WORD_DAWG_FACTOR=0.01
          TRAINING_DATA_ARGUMENTS+=" --infrequent_ratio=10000"
          FILTER_ARGUMENTS="--segmenter_lang=tha"
          TRAINING_DATA_ARGUMENTS+=" --no_space_in_output --desired_bigrams="
          AMBIGS_FILTER_DENOMINATOR="1000"
          LEADING=48
          test -z "$FONTS" && FONTS=( "${THAI_FONTS[@]}" ) ;;

    # CJK
    chi_sim )
          MEAN_COUNT="15"
          PUNC_DAWG_FACTOR=0.015
          WORD_DAWG_FACTOR=0.015
          GENERATE_WORD_BIGRAMS=0
          TRAINING_DATA_ARGUMENTS+=" --infrequent_ratio=10000"
          TRAINING_DATA_ARGUMENTS+=" --no_space_in_output --desired_bigrams="
          FILTER_ARGUMENTS="--charset_filter=chi_sim --segmenter_lang=chi_sim"
          test -z "$FONTS" && FONTS=( "${CHI_SIM_FONTS[@]}" ) ;;
    chi_tra )
          MEAN_COUNT="15"
          WORD_DAWG_FACTOR=0.015
          GENERATE_WORD_BIGRAMS=0
          TRAINING_DATA_ARGUMENTS+=" --infrequent_ratio=10000"
          TRAINING_DATA_ARGUMENTS+=" --no_space_in_output --desired_bigrams="
          FILTER_ARGUMENTS="--charset_filter=chi_tra --segmenter_lang=chi_tra"
          test -z "$FONTS" && FONTS=( "${CHI_TRA_FONTS[@]}" ) ;;
    jpn ) MEAN_COUNT="15"
          WORD_DAWG_FACTOR=0.015
          GENERATE_WORD_BIGRAMS=0
          TRAINING_DATA_ARGUMENTS+=" --infrequent_ratio=10000"
          TRAINING_DATA_ARGUMENTS+=" --no_space_in_output --desired_bigrams="
          FILTER_ARGUMENTS="--charset_filter=jpn --segmenter_lang=jpn"
          test -z "$FONTS" && FONTS=( "${JPN_FONTS[@]}" ) ;;
    kor ) MEAN_COUNT="20"
          WORD_DAWG_FACTOR=0.015
          NUMBER_DAWG_FACTOR=0.05
          TRAINING_DATA_ARGUMENTS+=" --infrequent_ratio=10000"
          TRAINING_DATA_ARGUMENTS+=" --desired_bigrams="
          GENERATE_WORD_BIGRAMS=0
          FILTER_ARGUMENTS="--charset_filter=kor --segmenter_lang=kor"
          test -z "$FONTS" && FONTS=( "${KOREAN_FONTS[@]}" ) ;;

    # Middle-Eastern scripts.
    ara ) test -z "$FONTS" && FONTS=( "${ARABIC_FONTS[@]}" ) ;;
    div ) test -z "$FONTS" && FONTS=( "${THAANA_FONTS[@]}" ) ;;
    fas | pus | snd | uig | urd )
          test -z "$FONTS" && FONTS=( "${PERSIAN_FONTS[@]}" ) ;;
    heb | yid )
          NUMBER_DAWG_FACTOR=0.05
          WORD_DAWG_FACTOR=0.08
          test -z "$FONTS" && FONTS=( "${HEBREW_FONTS[@]}" ) ;;
    syr ) test -z "$FONTS" && FONTS=( "${SYRIAC_FONTS[@]}" ) ;;

    # Other scripts.
    amh | tir)
          test -z "$FONTS" && FONTS=( "${AMHARIC_FONTS[@]}" ) ;;
    chr ) test -z "$FONTS" && FONTS=( "${NORTH_AMERICAN_ABORIGINAL_FONTS[@]}" \
                  "Noto Sans Cherokee" \
                ) ;;
    ell )
          NUMBER_DAWG_FACTOR=0.05
          WORD_DAWG_FACTOR=0.08
          test -z "$FONTS" && FONTS=( "${GREEK_FONTS[@]}" ) ;;
    grc )
          test -z "$EXPOSURES" && EXPOSURES="-3 -2 -1 0 1 2 3"
          test -z "$FONTS" && FONTS=( "${ANCIENT_GREEK_FONTS[@]}" ) ;;
    hye ) test -z "$FONTS" && FONTS=( "${ARMENIAN_FONTS[@]}" ) ;;
    iku ) test -z "$FONTS" && FONTS=( "${NORTH_AMERICAN_ABORIGINAL_FONTS[@]}" ) ;;
    kat)  test -z "$FONTS" && FONTS=( "${GEORGIAN_FONTS[@]}" ) ;;
    kat_old)
          TEXT_CORPUS="${FLAGS_webtext_prefix}/kat.corpus.txt"
          test -z "$FONTS" && FONTS=( "${OLD_GEORGIAN_FONTS[@]}" ) ;;
    kir ) test -z "$FONTS" && FONTS=( "${KYRGYZ_FONTS[@]}" )
          TRAINING_DATA_ARGUMENTS=" --infrequent_ratio=100" ;;
    kmr ) test -z "$FONTS" && FONTS=( "${LATIN_FONTS[@]}" ) ;;
    kur_ara ) test -z "$FONTS" && FONTS=( "${KURDISH_FONTS[@]}" ) ;;

    *) err_exit "Error: ${lang} is not a valid language code"
  esac
  if [[ ${FLAGS_mean_count:-} -gt 0 ]]; then
    TRAINING_DATA_ARGUMENTS+=" --mean_count=${FLAGS_mean_count}"
  elif [[ ! -z ${MEAN_COUNT:-} ]]; then
    TRAINING_DATA_ARGUMENTS+=" --mean_count=${MEAN_COUNT}"
  fi
  # Default to Latin fonts if none have been set
  test -z "$FONTS" && FONTS=( "${LATIN_FONTS[@]}" )

  # Default to 0 exposure if it hasn't been set
  test -z "$EXPOSURES" && EXPOSURES=0
  # Set right-to-left and normalization mode.
  case "${LANG_CODE}" in
    ara | div| fas | pus | snd | syr | uig | urd | kur_ara | heb | yid )
      LANG_IS_RTL="1"
      NORM_MODE="2" ;;
    asm | ben | bih | hin | mar | nep | guj | kan | mal | tam | tel | pan | \
    dzo | sin | san | bod | ori | khm | mya | tha | lao | jav  | jav_java)
      LANG_IS_RTL="0"
      NORM_MODE="2" ;;
    * )
      LANG_IS_RTL="0"
      NORM_MODE="1" ;;
  esac
}

#=============================================================================
# END of Language specific info
#=============================================================================
'''