1 | #!/bin/bash
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2 |
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3 | #####################################################################################################
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4 | # Following instructions at
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5 | # https://stackoverflow.com/questions/36516363/sentence-detection-with-opennlp
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6 | # But contrary to their example, don't insert empty newlines separating the sentences input file
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7 | # Each sentence just needs to be on its own line. But no empty lines between each sentence.
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8 | #####################################################################################################
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9 |
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10 | # 1. Create training file of Maori sentences in the correct format
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11 | # Train this on the 2011 set (rather than 2017) set of 100k Maori language sentences
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12 | # because the 2011 one appears to have fewer accidentally incorporated English sentences
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13 |
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14 |
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15 | # Need to run this script from the top level folder of this extension
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16 |
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17 | if [ ! -z $1 ]; then
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18 | if [ "x$1" = "x--help" ]; then
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19 | echo ""
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20 | echo "Usage: $0 <mri sentences.txt>"
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21 | echo " Try the one in ./opennlp-corpus/leipzig/data/mri_web_2011_100K-sentences.txt"
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22 | echo " (Unzip mri-opennlp-corpus.tar.gz)"
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23 | echo " It's better than the 100k sentences from 2017, as that contains a lot of English lines."
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24 | echo ""
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25 | exit
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26 | else
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27 | infile=$1
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28 | fi
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29 | else
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30 | # use the file opennlp-corpus/leipzig/data/mri_web_2011_100K-sentences.txt as inputfile
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31 | # Check the file exists at the expected location. If not, check we have the tarball containing it and untar that.
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32 | # If the tarball doesn't exist, try to get what we want from svn if we have svn. If no svn either, bail.
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33 | if [ ! -f opennlp-corpus/leipzig/data/mri_web_2011_100K-sentences.txt ]; then
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34 | if [ -f mri-opennlp-corpus.tar.gz ]; then
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35 | tar -xvzf mri-opennlp-corpus.tar.gz
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36 | else
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37 | svn --help > /dev/null
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38 | if [ "x$?" != "x0" ]; then
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39 | echo "Attempted to train the Sentence Detector on Maori sentences on missing mri_web_2011_100K-sentences.txt"
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40 | echo "The tarball mri-opennlp-corpus.tar.gz (containing mri_web_2011_100K-sentences.txt) didn't exist either."
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41 | echo "And couldn't get opennlp-corpus/leipzig/data/mri_web_2011_100K-sentences.txt using SVN: no SVN."
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42 | echo "Exitting..."
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43 | exit
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44 | else
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45 | # Get just what we need from svn
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46 | # Based on https://www.apache.org/dist/opennlp/models/langdetect/1.8.3/README.txt
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47 | # To auto-confirm repeated svn https check, see https://serverfault.com/questions/37929/how-do-you-accept-an-ssl-certificate-through-the-svn-command-line
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48 | svn co --depth immediates --trust-server-cert --non-interactive https://svn.apache.org/repos/bigdata/opennlp/trunk opennlp-corpus
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49 | cd opennlp-corpus
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50 | svn up --set-depth immediates --trust-server-cert --non-interactive
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51 | cd leipzig
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52 | svn up --set-depth immediates --trust-server-cert --non-interactive
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53 | cd resources/
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54 | svn up --set-depth infinity --trust-server-cert --non-interactive
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55 | cd ../data
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56 | echo "About to download the sample Maori language 100k sentences file. This may take a while (<1 minute)."
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57 | svn up --trust-server-cert --non-interactive mri_web_2011_100K-sentences.txt
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58 | cd ..
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59 | # in opennlp-corpus/leipzig
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60 | chmod u+x create_langdetect_model.sh
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61 | cd ../..
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62 | fi
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63 | fi
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64 | fi
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65 | infile=./opennlp-corpus/leipzig/data/mri_web_2011_100K-sentences.txt
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66 | fi
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67 |
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68 | echo $infile
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69 |
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70 | #tail -100 $infile
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71 |
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72 | # Ensure OPENNLP_HOME is set
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73 | if [ "x$OPENNLP_HOME" = "x" ]; then
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74 | echo "OPENNLP_HOME not set, attempting to set it to the local apache-opennlp (v1.9.1). ENSURE THIS EXISTS OR SET OPENNLP_HOME YOURSELF!"
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75 | #if [ -d apache-opennlp-* ]; then
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76 | cd apache-opennlp-*
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77 | if [ "x$?" = "x0" ]; then
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78 | export OPENNLP_HOME=`pwd`
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79 | cd ..
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80 | else
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81 | echo "No OPENNLP_HOME set and could not find a subfolder 'apache-opennlp-...' to set it to."
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82 | echo "Set OPENNLP_HOME yourself before running this script. Exitting..."
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83 | exit
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84 | fi
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85 | fi
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86 |
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87 | mkdir -p $OPENNLP_HOME/training_data
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88 | sentences_train_file=$OPENNLP_HOME/training_data/mri-sent.train
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89 | if [ -f "$trainfile" ]; then
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90 | echo "Removing existing $sentences_train_file"
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91 | rm "$sentences_train_file"
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92 | fi
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93 |
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94 | # Get just the sentences in the inputfile (remove the starting number followed by tab from each line)
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95 | # see https://stackoverflow.com/questions/36516363/sentence-detection-with-opennlp
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96 | # Don't add an extra newline at end of each sentence (don't insert an empty line between each sentence)
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97 |
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98 |
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99 | # https://stackoverflow.com/questions/7619438/bash-read-a-file-line-by-line-and-process-each-segment-as-parameters-to-other-p
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100 | # how come it removes the first number automatically?
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101 | #while read file num sentence
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102 | #do
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103 | # echo "$num $sentence" >> $sentences_train_file
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104 | #done < "$infile"
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105 |
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106 | # Don't add the extra newline at the end, creating empty lines between sentences output,
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107 | # or the SentenceDetector in step 3 will do a poor job.
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108 | # (The example at the stackoverflow link may have included newlines separating sentences for clarity.)
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109 | #cat $infile | awk -F '\t' '{ print $2 "\n" }' > $sentences_train_file
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110 | cat $infile | awk -F '\t' '{ print $2 }' > $sentences_train_file
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111 |
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112 | # Why did my way below not work?
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113 | # openNLP-lang-detect/opennlp-corpus/leipzig/data>echo "100000\tYWCA Boarding house : ÄwhinaServices and support Kei te pÅ«manawa o TÄmaki Makaurau a YMCA." | awk -F "\t" '{ print $2 }'
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114 | # $1 contains everything and $2 nothing. Why?
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115 | # The problem appears to be that echo behaves differently from cat and less. Ask Dr Bainbridge what makes echo different.
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116 | # Note that I tried manually inserting \t, after copying the original line with tabspacing had no effect. Still no difference.
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117 | # Note 2: echo doesn't appear to preserve copied tab spaces.
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118 | # Answer: echo doesn't treat \n as newline and \t as tab and so on, unless the -e flag is passed in:
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119 | # echo -e "100000\tYWCA Boarding house : ÄwhinaServices and support Kei te pÅ«manawa o TÄmaki Makaurau a YMCA." | awk -F "\t" '{ print $2 }'
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120 |
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121 | # 2. Create mri sentences model from training sentences file
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122 | #$OPENNLP_HOME/bin/opennlp SentenceDetectorTrainer -model mri-sent_trained.bin -lang en -data mri-sent.train -encoding UTF-8
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123 |
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124 |
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125 | mkdir -p $OPENNLP_HOME/models
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126 |
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127 | $OPENNLP_HOME/bin/opennlp SentenceDetectorTrainer -model $OPENNLP_HOME/models/mri-sent_trained.bin -lang en -data $sentences_train_file -encoding UTF-8
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128 |
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129 |
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130 | # 3. Let's try to split some Maori language text into sentences using our model created from training on sentences.
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131 | # http://opennlp.apache.org/docs/1.9.1/manual/opennlp.html#tools.cli.sentdetect
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132 | # Usage: opennlp SentenceDetector model < sentences
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133 | echo ""
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134 | echo "Testing the model."
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135 | echo "Running the SentenceDetector with the generated mri-sent_trained.bin model on sample_mri_paragraphs.txt..."
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136 | echo "****************************"
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137 | $OPENNLP_HOME/bin/opennlp SentenceDetector $OPENNLP_HOME/models/mri-sent_trained.bin < models-trainingdata-and-sampletxts/sample_mri_paragraphs.txt
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138 | echo "****************************"
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139 | echo ""
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140 |
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