Data and models for automatic scansion experiment Dutch Song Database
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This release contains the <strong>data </strong>used in an experiment on automatic scansion for historical Dutch song texts. Aside form the data, two <strong>models </strong>are included in this release as well. One model is essential for running the code that is part of this experiment (model_s); while the other model is an example of an acquired automatic scansion model (best_model). <strong>Item descriptions</strong>: <em>meertens-meter-songs.zip</em> → collection of 23,197 historic Dutch songs (xml-format). These files (and the gathered meta-data) stems from a collaboration project between the <em>Dutch Song Database </em>and the <em>Digital Library for Dutch Literature</em>. All files contain meta-data on the number of beats that is present in individual verse lines. Snippet: <pre><code class="language-xml"><lg> <l id="s1:l1" met="4" type="-+"> Een Meysken op een Rivierken <rhyme label="a" type="m">sadt</rhyme>,</l> <l id="s1:l2" met="2" type="-+"> So schoon zy <rhyme label="b" type="m">was</rhyme>,</l> <l id="s1:l3" met="4" type="-+"> Sy sadt en verbeyde haer soete <rhyme label="c" type="m">Lief</rhyme>,</l> <l id="s1:l4" met="2" type="-+"> Int groene <rhyme label="b" type="m" corresp="#s1:l2">gras</rhyme>.</l> </lg></code></pre> <em>model_s</em> → model used for syllabification and assignment of lexical stress of (historic) Dutch words. The development of this model was part of a previous project. <em>stress_xml.zip</em> → collection of 23,197 historic Dutch songs (xml-format). These are the same songs a the <em>meertens-meter-songs</em>, yet now their individual words are syllabified and annotated for lexical stress. The songs in this folder are used as input during the training process. Snippet: <pre><code class="language-xml"><l id="s1:l1" met="4" type="-+"> <w token="een"> <s word-stress="1" line-stress="0">een</s> </w> <w token="meysken"> <s word-stress="1" line-stress="0">meys</s> <s word-stress="0" line-stress="0">ken</s> </w> <w token="op"> <s word-stress="1" line-stress="0">op</s> </w> <w token="een"> <s word-stress="1" line-stress="0">een</s> </w> <w token="rivierken"> <s word-stress="0" line-stress="0">ri</s> <s word-stress="1" line-stress="0">vier</s> <s word-stress="0" line-stress="0">ken</s> </w> <rhyme label="a" type="m"> <w token="sadt"> <s word-stress="1" line-stress="0">sadt</s> </w> </rhyme> </l></code></pre> <em>gold_scan.zip</em> → 198 Dutch song files (xml-format). These files have been annotated by an expert for line stress. <em>eval_splits.zip </em>→ contains the splits made from <em>gold_scan. </em>These are the splits used in the automatic scansion experiment: a development set of 98 songs (used during training), and a test set of 99 songs (used for evaluating the best model after training). <em>best_model.zip</em> → contains the files of an acquired model for automatic Dutch song scansion.



