= Transcription Tool =

MARY Transcription Tool, a graphical user interface, supports a semi-automatic procedure  for transcribing new language text corpus and automatic training of Letter-to-sound(LTS) rules for that language.  It stores all functional words in that language to build a primitive POS tagger.


== Requirements: ==
 

 1. Prepare phoneset for your language

 ''' Example for locale en-US : ''' [http://mary.opendfki.de/wiki/TranscriptionTool/allophones_en-US.xml]

 2. Accepatable input formats (input from file)
 
 Example 1: List of words


{{{
Live
Item
Top
Eintracht
Spieltags
Hannover
sechsundneunzig
Borussia
Arminia
}}}

 Example 2: List of words and transcriptions for few words

{{{
Live 'laIf
Item
Top 'tOpJ
Eintracht '?aIn-tRaxt
Spieltags 'Spi:l-ta:ks
Hannover 
sechsundneunzig 
Borussia bo:-'RU_si:-a:
Arminia
}}}


== How to run? ==

 Run below commands through Shell script:
{{{

export MARY_BASE="[PATH TO MARYBASE]"

java -Xmx1024m -classpath $MARY_BASE/java:$MARY_BASE/java/mary-common.jar:\
$MARY_BASE/java/log4j-1.2.8.jar:$MARY_BASE/java/weka.jar:\
$MARY_BASE/java/mysql-connector-java-5.1.7-bin.jar\
 -Djava.endorsed.dirs=$MARYBASE/lib/endorsed\
 marytts.tools.transcription.TranscriptionGUI

}}}



{{{
#!html
        <h2>Instructions for Transcription Tool</h2>
<ol>
<li>Specify phoneset (allophones.xml) file using menu item 'specify phoneset'</li>
<li>Load your data for transcription <br>(two options: 1. Open (MenuItem) 2. Load from MySql database (list of words as a table) )</li>
<li>Save your data to a specified location. (then 'TrainPredict' button will be enable)</li>
<li>If you transcribe some data, click 'trainpredict' button to predict transcription for remaining words. you have to manually correct predicted transcription.</li>
<li>Description of colors:
<ul>
<li>Black	-  Manually written or manually corrected</li>
<li>Red	  	-  Transcription syntax is not permitted (eg: user written transcription is incorrect)</li>
<li>LightGray	-  Predicted by 'TrainPredict' (predicted based on manual transcription)</li>
</ul>
 </li>
</ol>
}}}