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<html>
  <head>
	  <title>DeReKo-Word-Vector-Distances: <%= $word %></title>
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    <script>
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				 $("input").bind("keydown", function(event) {
						 // track enter key
						 var keycode = (event.keyCode ? event.keyCode : (event.which ? event.which : event.charCode));
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				 function bitvec2window(n) {
						 var str = n.toString(2).padStart(10, "0")
												.replace(/^([0-9]{5})/, '$1x')
												.replace(/0/g, '·')
												.replace(/1/g, '+');
						 return str;
				 }

				 var collocatorData = <%= b(Mojo::JSON::to_json($collocators)) %>; 
				 
				 if (collocatorData != null) {
						 var t = $('#secondtable').DataTable({
								 data: collocatorData,
								 "sScrollY": "800px",
								 "bScrollCollapse": true,
								 "bPaginate": false,
								 "bJQueryUI": true,
								 "dom": '<"top">rt<"bottom"flp><"clear">',
								 "columns": [
										 { "data": "rank", type: "allnumeric" },
										 { "data": "pos", width: "7%", sClass: "dt-center mono compact", render: function ( data, type, row ) {return bitvec2window(data) }},
										 { "data": "max",  render: function ( data, type, row ) {return data.toFixed(3) }},
										 { "data": "conorm", render: function ( data, type, row ) {return data.toFixed(3) }},
										 { "data": "prob", type: "scientific", render: function ( data, type, row ) {return data.toExponential(3) }  },
										 { "data": "cprob", type: "scientific", render: function ( data, type, row ) {return data.toExponential(3) }  },
										 { "data": "overall", type: "scientific", render: function ( data, type, row ) {return data.toExponential(3) } },
										 { "data": "word",  sClass: "collocator" }
								 ],
								 "columnDefs": [
										 { className: "dt-right", "targets": [0,2,3,4,5,6] },
										 { className: "dt-center", "targets": [ 1] },
										 { "searchable": false,
											 "orderable": false,
											 "targets": 0
										 }, 
										 { "type": "scientific", targets: [2,3,4,5,6] },
										 { "orderSequence": [ "desc" ], "targets": [ 2, 3, 4, 5, 6 ] },
										 { "orderSequence": [ "asc", "desc" ], "targets": [ 1, 7 ] },
								 ],
								 "order": [[ 4, 'desc' ]],
						 } );
						 t.on( 'order.dt search.dt', function () {
								 t.column(0, {order:'applied'}).nodes().each( function (cell, i) {
										 cell.innerHTML = i+1;
								 } );
						 } ).draw();
				 }
		 });
		 $(function(){
				 $("#dropdownoptions").dialog({
						 title: "Options",
						 autoOpen: false,
						 modal: false,
						 draggable: false,
						 height: "auto",
						 width: "auto",
						 resizable: false,
						 buttons: {
								 "Cancel": function() {
										 $( this ).dialog( "close" );
								 },
								 "Apply": function() {
										 window.open($(location).attr('pathname')+'?'+$('form').serialize(), "_self");
								 }
						 }
				 });
		 });

		 $(function(){
				 $("#SEARCH").click(function() {
						 window.open($(location).attr('pathname')+'?'+$('form').serialize(), "_self");
				 });
		 });

		 $(function(){
				 $("td.collocator").click(function(){
						 queryKorAPCII(this.textContent + " /w5 <%= $word %>");
				 });
		 });
     
		 $(function(){
				 $("#showoptions").click(function(){
						 $("#dropdownoptions").dialog("open");
						 var target = $(this);
						 $("#dropdownoptions").dialog("widget").position({
								 my: 'left bottom',
								 at: 'left bottom',
								 of: target
						 });
				 });
		 });

		 $( function() {
				 $( "#no_iterations" ).spinner({
						 spin: function( event, ui ) {
								 if ( ui.value < 1000 ) {
										 $( this ).spinner( "value", 1000 );
										 return false;
								 } else if ( ui.value > 10000 ) {
										 $( this ).spinner( "value", 10000 );
										 return false;
								 }
						 }
				 });
		 } );

		 $( function() {
				 $( "#neighbours" ).spinner({
						 spin: function( event, ui ) {
								 if ( ui.value < 0 ) {
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										 return false;
								 } else if ( ui.value > 200 ) {
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										 return false;
								 }
						 }
				 });
		 } );

		 $( function() {
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						 spin: function( event, ui ) {
								 if ( ui.value < 100000 ) {
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										 return false;
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						 }
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		 } );

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		 } );

		 $( function() {
				 $( ".controlgroup-vertical" ).controlgroup({
						 "direction": "vertical"
				 });
		 } );

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				 $( document ).tooltip({
						 content: function() {
								 return $(this).attr('title');
						 }}
				 )
	   })

    </script>
	  <script src="//d3js.org/d3.v3.min.js" charset="utf-8"></script>
	  <script src="/derekovecs/js/tsne.js"></script>
	  <script src="/derekovecs/js/som.js"></script>
	  <script src="/derekovecs/js/labeler.js"></script>
    <style>
     body, input {
	     font-family: Lato, sans-serif;
	     font-size: 11pt;
     }

		 h1,  h2, h3 {
			 margin: 5px 10px 0 0;
			 color: rgb(246,168,0);
			 font-family: "Univers LT Std 47 Cn Lt", "Univers LT Std 67 Cn Lt", "Roboto Condensed", "Univers LT Std 67 Cn Bold", "UniversLTStd-BoldCn", "Times", 'League Gothic', Impact, sans-serif;
			 font-weight: bold;
			 line-height: 1.35;
			 letter-spacing: normal;
			 text-transform: uppercase;
			 text-shadow: none;
			 word-wrap: break-word;
		 }


		 showoptions, #SEARCH {
			 margin-left: 10px;
			 margin-right: 10px;
		 }

		 .tabs-left-vertical .ui-tabs-nav {
			 position: absolute;
			 width: 21em;
			 transform: translate(-100%,0%) rotate(-90deg);
			 transform-origin: 100% 0%;
		 }

		 .tabs-left-vertical .ui-tabs-nav li {
			 float: right;
		 }

		 .tabs-left-vertical .ui-tabs-panel {
			 padding-left: 3.5em;
		 }

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			 height: 20em;
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			 font-family: "DejaVu Sans Mono", Inconsolata, SourceCodePro, Courier;
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			 font-size: 9pt;
			 color: #222222;
		 }

		 svg > .ui-tooltip-content {
			 font-size: 8pt;
			 color: #222222;
		 }

		 a.merged {
			 color: green;
			 fill: green;
		 }

		 #first a {
			 text-decoration: none;
		 }

		 a.marked, #first a.marked {
			 text-decoration: underline;
		 }

		 a.target {
			 color: red;
			 fill: red;
		 }

		 table.display {
			 width: 40% important!;
			 margin: 1;  /* <- works for me this way ****/
		 }

		 table.dataTable thead th, table.dataTable thead td, table.dataTable tbody td {
			 padding: 2px 2px;
			 //  border-bottom: 1px solid #111;
		 }

		 #collocators {
			 margin-bottom: 15px;
		 }

		 #header {
			 width: 100%;
			 //   border: 1px solid red;
			 overflow: hidden; /* will contain if #first is longer than #second */
		 }

		 #topwrapper {
			 width: 100%;
			 //   border: 1px solid red;
			 overflow: hidden; /* will contain if #first is longer than #second */
		 }

		 #wrapper {
			 //   border: 1px solid red;
			 overflow: hidden; /* will contain if #first is longer than #second */
		 }

		 #pagetitle {
			 max-width: 460px;
			 margin-right: 20px;
			 float: left;
			 overflow: hidden; /* if you don't want #second to wrap below #first */
			 //    border: 1px solid green;
		 }

		 #options {
			 float: left;
			 width: 800px;
			 margin: 10px;
			 overflow: hidden; /* if you don't want #second to wrap below #first */
		 }

		 #word {
			 width: 50%;
		 }

		 #first {
			 margin-right: 20px;
			 float: left;
			 overflow: hidden; /* if you don't want #second to wrap below #first */
			 //    border: 1px solid green;
		 }
		 #tabs {
			 margin-right: 20px;
			 overflow: hidden; /* if you don't want #second to wrap below #first */
		 }

		 .tabs-min {
			 background: transparent;
			 border: none;
		 }

		 .tabs-min .ui-widget-header {
			 background: transparent;
			 border: none;
			 border-bottom: 1px solid #c0c0c0;
			 -moz-border-radius: 0px;
			 -webkit-border-radius: 0px;
			 border-radius: 0px;
		 }

		 .tabs-min .ui-tabs-nav .ui-state-default {
			 background: transparent;
			 border: none;
		 }

		 .tabs-min .ui-tabs-nav .ui-state-active {
			 background: transparent url(img/uiTabsArrow.png) no-repeat bottom center;
			 border: none;
		 }

		 .tabs-min .ui-tabs-nav .ui-state-default a {
			 color: #c0c0c0;
		 }

		 .tabs-min .ui-tabs-nav .ui-state-active a {
			 color: rgb(246,168,0);
		 }

		 #embed {
			 max-width: 802px;
			 border: 1px solid #333;
		 }

		 #second {
			 min-width: 800px;
			 //       border: 1px solid #333;
			 overflow: hidden; /* if you don't want #second to wrap below #first */
		 }
		 #som2 svg {
			 border: 1px solid #333;
		 }

		 #cost {
			 font-size: 8pt;
			 color: #222222;
			 margin-top: 4px;
			 margin-bottom: 12px;
		 }

		 #sominfo1, #sominfo {
			 font-size: 8pt;
			 color: #222222;
			 margin-top: 0px;
		 }

		 #somcolor1, #somcolor2, #somcolor3 {
			 display: inline-block;
			 height: 10px;
			 width: 10px;
		 }

		 #third {
			 border: 1px solid #333;
		 }

    </style>
    <script>

     var opt = {epsilon: <%= $epsilon %>, perplexity: <%= $perplexity %>},
		     mapWidth = 800, // width map
		     mapHeight = 800,
		     jitterRadius = 7;

     var T = new tsnejs.tSNE(opt); // create a tSNE instance

     var Y;

     var data;
     var labeler;

     function applyJitter() {
				 svg.selectAll('.tsnet')
						.data(labels)
						.transition()
						.duration(50)
						.attr("transform", function(d, i) {
								T.Y[i][0] = (d.x - mapWidth/2 - tx)/ss/20;
								T.Y[i][1] = (d.y - mapHeight/2 - ty)/ss/20;
								return "translate(" +
									(d.x) + "," +
									(d.y) + ")";
						});
     }

     function updateEmbedding() {
				 var Y = T.getSolution();
				 svg.selectAll('.tsnet')
						.data(data.words)
						.attr("transform", function(d, i) {
								return "translate(" +
									 ((Y[i][0]*20*ss + tx) + mapWidth/2) + "," +
									 ((Y[i][1]*20*ss + ty) + mapHeight/2) + ")"; });
     }

     var svg;
     var labels = [];
     var anchor_array = [];
     var text;

     function drawEmbedding() {
				 $("#embed").empty();
				 var div = d3.select("#embed");

				 // get min and max in each column of Y
				 var Y = T.Y;

				 svg = div.append("svg") // svg is global
									.attr("width", mapWidth)
									.attr("height", mapHeight);

				 var g = svg.selectAll(".b")
										.data(data.words)
										.enter().append("g")
										.attr("class", "tsnet");

				 g.append("a")
					.attr("xlink:href", function(word) {
							return (data.urlprefix+word);})
					.attr("class", function(d, i) {
							var res="";
							if(data.marked[i]) {
									res="marked ";
							}
							if(data.target.indexOf(" "+d+" ") >= 0) {
									return res+"target";
							} else if(data.ranks[i] < data.mergedEnd) {
									return res+"merged";
							} else {
									return res;
							}
					})
					.attr("title", function(d, i) {
							if(data.mergedEnd > 0) {
									if(data.ranks[i] >= data.mergedEnd) {	
         							return "rank: "+i +"  "+"freq. rank: "+(data.ranks[i]).toString().replace(/\B(?=(\d{3})+(?!\d))/g, ",");
									} else {
         							return "rank: "+i +"  "+"freq. rank: "+data.ranks[i].toString().replace(/\B(?=(\d{3})+(?!\d))/g, ",") + " (merged vocab)";
									}
							} else {
									return "rank: "+i +"  "+"freq. rank: "+data.ranks[i].toString().replace(/\B(?=(\d{3})+(?!\d))/g, ",");
							}
					})
					.append("text")
					.attr("text-anchor", "top")
					.attr("font-size", 12)
					.text(function(d) { return d; });

				 var zoomListener = d3.behavior.zoom()
															.scaleExtent([0.1, 10])
															.center([0,0])
															.on("zoom", zoomHandler);
				 zoomListener(svg);
     }

     var tx=0, ty=0;
     var ss=1;
     var iter_id=-1;

     function zoomHandler() {
				 tx = d3.event.translate[0];
				 ty = d3.event.translate[1];
				 ss = d3.event.scale;
				 updateEmbedding();
     }

     var stepnum = 0;

     function stopStep() {
				 clearInterval(iter_id);
				 text = svg.selectAll("text");

				 // jitter function needs different data and co-ordinate representation
				 labels = d3.range(data.words.length).map(function(i) {
						 var x = (T.Y[i][0]*20*ss + tx) + mapWidth/2;
						 var y = (T.Y[i][1]*20*ss + ty) + mapHeight/2;
						 anchor_array.push({x: x, y: y, r: jitterRadius});
						 return {
								 x: x,
								 y: y,
								 name: data.words[i]
						 };
				 });

				 // get the actual label bounding boxes for the jitter function
				 var index = 0;
				 text.each(function() {
						 labels[index].width = this.getBBox().width;
						 labels[index].height = this.getBBox().height;
						 index += 1;
				 });


				 //	 setTimeout(updateEmbedding, 1);
				 //	 setTimeout(
						 labeler =	 d3.labeler()
													 .label(labels)
													 .anchor(anchor_array)
													 .width(mapWidth)
													 .height(mapHeight)
													 .update(applyJitter);
				 //         .start(1000);

				 iter_id = setInterval(jitterStep, 1);
     }

     var jitter_i=0;

     function jitterStep() {
				 if(jitter_i++ > 100) {
						 clearInterval(iter_id);
				 } else {
						 labeler.start2(10);
						 applyJitter();
				 }
     }

     var last_cost=1000;

     function step() {
				 var i = T.iter;

				 if(i > <%= $no_iterations %>) {
						 stopStep();
				 } else {
						 var cost = Math.round(T.step() * 100000) / 100000; // do a few steps
						 $("#cost").html("tsne iteration " + i + ", cost: " + cost.toFixed(5));
						 if(i % 250 == 0 && cost >= last_cost) {
								 stopStep();
						 } else {
								 last_cost = cost;
								 updateEmbedding();
						 }
				 }
     }

     function showMap(j) {
				 data=j;
				 T.iter=0;
				 T.initDataRaw(data.vecs); // init embedding
				 drawEmbedding(); // draw initial embedding

				 if(iter_id >= 0) {
						 clearInterval(iter_id);
				 }
				 //T.debugGrad();
				 iter_id = setInterval(step, 1);
				 if(true) { // (<%= $show_som %>) {
						 makeSOM(j, <%= $no_iterations %>);
				 }
     }
     var queryword;

     function onload() {
         queryword = document.getElementById('word');
     }

     function queryKorAP() {
         window.open('http://korap.ids-mannheim.de/kalamar/?q='+queryword.value, 'KorAP');
     }

     function queryKorAPCII(query) {
         window.open('http://korap.ids-mannheim.de/kalamar/?ql=cosmas2&q='+query, 'KorAP');
     }
    </script>
  </head>
  <body onload="onload()">
		<div id="header">
			<div id="pagetitle">
				<h1>DeReKo-Vectors</h1>
			</div>
			<div id="options"  class="widget">
				<form id="queryform">
					<input id="word" type="text" name="word"  placeholder="Word(s) to be searched" value="<%= $word %>" 
								 title="When looking for multiple words use spaces as separators to search around the average vector and | as separator to get the neighbours for each word."/>
					<input id="SEARCH" type="button" value="SEARCH">
					<input type="button" id="showoptions" name="showoptions" value="Options" />
				</form>
				<div id="dropdownoptions" style="display: hidden">
					<form id="optionsform">
						<div class="controlgroup-vertical">
							<label for="cutoff">cut-off</label>
							<input id="cutoff" type="text" name="cutoff" size="10"  value="<%= $cutoff %>" title="Only consider the most frequent x word forms.">
							<label for="dedupe">dedupe</label>
							<input id="dedupe" type="checkbox" name="dedupe" value="1" <%= ($dedupe ? "checked" : "") %> title="radically filter out any near-duplicates">
							% if($mergedEnd > 0) {
								<label for="sbf">backw.</label>
								<input id="sbf" type="checkbox" name="sbf" value="1" <%= ($searchBaseVocabFirst ? "checked" : "") %> title="If checkecked base vocabulary will be searched first. Otherwise merged vocabulray will be searched first.">
							% }
							<label for="neighbours">max. neighbours:</label>
							<input id="neighbours" size="4" name="n" value="<%= $no_nbs %>">
							<label for="no_iterations">max. iterations</label>
							<input id="no_iterations" name="N" size="4" value="<%= $no_iterations %>">
							<!-- <label for="dosom">SOM</label>
									 <input id="dosom" type="checkbox" name="som" value="1" <%= ($show_som ? "checked" : "") %>> -->
							% if($collocators) {
								<label for="sortby">window/sort</label>
								<select id="sortby" name="sort">
									<option value="0"  <%= ($sort!=1 && $sort!=2? "selected":"") %>>auto focus</option>
									<!-- <option value="1"  <%= ($sort==1? "selected":"") %>>any single position</option>
											 <option value="2" <%= ($sort==2? "selected":"") %>>whole window</option> -->
								</select>
							% }
							<input type="button" value="→ KorAP" onclick="queryKorAP();" title="query word with KorAP"/>
						</div>
					</form>
				</div>
			</div>
		</div>
		<div id="topwrapper">
			<div id="tabs">
				<ul>
					<li><a href="#tabs-1">Semantics (TSNE-map)</a></li>
					<li><a href="#tabs-2">Semantics (SOM)</a></li>
					<li><a href="#tabs-3">Syntagmatic (collocators)</a></li>
				</ul>
				<div id="tabs-1">
					% if($lists && (@$lists) > 0 && (@$lists)[0]) {
						<div id="wrapper">
							<div id="first" style="width:220px">
								<table class="display compact nowrap" id="firsttable">
									<thead>
										<tr>
											<th align="right">#</th><th align="right">cos</th><th align="left">paradigmatic</th>
										</tr>
									</thead>
									<tbody>
										% my $j=0; my @words; my @vecs; my @ranks; my @marked;
										% for my $list (@$lists) {
											% my $i=0; while($list) {
												% my $item = (@$list)[$i];
												% my $c = ($collocators? (@$collocators)[$i] : 0);
												% last if(!$c && !$item);
												<tr>
													<td align="right">
  													<%= ++$i %>.
													</td>
													% if($item) {
														% if(!grep{$_ eq $item->{word}} @words) {
															%   push @vecs, $item->{vector};
															%   push @words, $item->{word};
															%   push @ranks, $item->{rank};
															%   push @marked, ($marked->{$item->{word}}? 1 : 0);
														% }
														<td align="right">
  														<%= sprintf("%.3f", $item->{dist}) %>
														</td>
														<td>
															% my $class = ($marked->{$item->{word}}? "marked " : "");
															% my $r = $item->{rank};
															% if($r < $mergedEnd) {
																%   $class .= "merged";
																%   $r .= " (merged vocab)";
															% } elsif($mergedEnd!=0 && $r > $mergedEnd) {
															%   $r -= $mergedEnd;
													% }
  												<a class="<%= $class =%>"
														 title="freq. rank: <%= $r =%>"
														 href="<%= url_with->query([word => $item->{word}]) =%>">
														<%= $item->{word} =%>
													</a>
														</td>
											% } else {
														<td colspan="2"/>
											% }
												</tr>
												% last if($i >= 100);
										% }
					% }
									</tbody>
								</table>
							</div>
							<script>
							 % use Mojo::ByteStream 'b';
							 % my $urlprefix = url_with->query([word=>'']);
							 $(window).load(function() {
									 showMap(<%= b(Mojo::JSON::to_json({target => " $word ", mergedEnd=> $mergedEnd, words => \@words, vecs => \@vecs, ranks => \@ranks, marked => \@marked, urlprefix => $urlprefix})); %>);
							 });
							</script>
            % } else {
							<div id="wrapper">
								<p>
									ERROR: "<%= $word %>" not found in vocabluary.
								</p>
							</div>
						% }
						<div id="second">
							<div id="embed">
							</div>
							<div id="cost">
							</div>
						</div>
					  </div>
				</div>
        <div id="tabs-2">
					<div id="som2" style="width: 800; height: 800px">
					</div>
					<div id="sominfo1"><span id="somcolor1">   </span> <span id="somword1"> </span> <span id="somcolor2">   </span> <span id="somword2"> </span> <span id="somcolor3">   </span></div>
					<div id="sominfo">SOM iteration <span id="iterations">0</span></div>
        </div>
				<div id="tabs-3">
					<div id="second" style="width:500px">
						<table class="display compact nowrap" id="secondtable">
							<thead>
								<tr>
									% if($collocators) {
										<th>#</th>
										<th align="center" title="The columns (c) around the target are considered for summation are marked with *.">w'</th>
										<th align="right" title="Raw (max.) activation of the collocator in the output layers.">max(a)</th>
										<th title="Co-normalized raw activation sum of the collocator in the selected columns." align="right">⊥Σa</th>
										<th title="Sum of activations over the selected colunns normalized by the total activation sum of the selected columns." align="right">Σa/Σc</th>
										<th title="Sum of the column normalized activations over the selected colunns." align="right">Σ(a/c)</th>
										<th title="Sum of the activations over the whole window normalized by the total window sum (no auto-focus)." align="right">Σa/Σw</th>
										<th align="left">collocator</th>
									% }
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="right">
									</td>
										<td align="right">
										</td>
										<td align="right">
										</td>
										<td align="right">
										</td>
										<td align="right">
										</td>
										<td align="right">
										</td>
									  <td align="right">
										</td>
										<td align="left">
										</td>
								</tr>
							</tbody>
						</table>
					</div> <!-- - tab2 -->
			  </div> <!-- tabs -->
      </div>
		</div> <!-- topwrapper  -->
		<div style="clear: both;"></div>
		</div>
    % if($training_args) {
      <p>
        Word vector model trained with <a href="https://code.google.com/p/word2vec/">word2vec</a> using the following parameters: <pre><%= $training_args %></pre>
      </p>
    % }
	</body>
</html>