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<!DOCTYPE html>
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<meta name="author" content="Gede Primahadi Wijaya Rajeg">
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<title>Concordance: Practice</title>
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<h2 id="toc-title">Table of contents</h2>
<ul>
<li><a href="#materials" id="toc-materials" class="nav-link active" data-scroll-target="#materials">Materials</a></li>
<li><a href="#operationalising-conceptual-aim-into-query-in-the-concordance-feature-of-ske" id="toc-operationalising-conceptual-aim-into-query-in-the-concordance-feature-of-ske" class="nav-link" data-scroll-target="#operationalising-conceptual-aim-into-query-in-the-concordance-feature-of-ske"><span class="header-section-number">1</span> Operationalising conceptual aim into query in the Concordance feature of SkE</a></li>
<li><a href="#heuristic-inspection-of-the-usage-pattern-found-in-the-concordance" id="toc-heuristic-inspection-of-the-usage-pattern-found-in-the-concordance" class="nav-link" data-scroll-target="#heuristic-inspection-of-the-usage-pattern-found-in-the-concordance"><span class="header-section-number">2</span> Heuristic inspection of the usage pattern found in the concordance</a></li>
<li><a href="#word-classpart-of-speech-of-touch" id="toc-word-classpart-of-speech-of-touch" class="nav-link" data-scroll-target="#word-classpart-of-speech-of-touch"><span class="header-section-number">3</span> Word class/Part-of-speech of <em>touch</em></a></li>
<li><a href="#literal-vs.-metaphorical-meaning" id="toc-literal-vs.-metaphorical-meaning" class="nav-link" data-scroll-target="#literal-vs.-metaphorical-meaning"><span class="header-section-number">4</span> literal vs. metaphorical meaning</a></li>
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<h1 class="title">Concordance: Practice</h1>
</div>
<div class="quarto-title-meta-author">
<div class="quarto-title-meta-heading">Author</div>
<div class="quarto-title-meta-heading">Affiliation</div>
<div class="quarto-title-meta-contents">
<p class="author"><a href="https://www.ling-phil.ox.ac.uk/people/gede-rajeg">Gede Primahadi Wijaya Rajeg</a> <a href="https://orcid.org/0000-0002-2047-8621" class="quarto-title-author-orcid"> <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAA2ZpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADw/eHBhY2tldCBiZWdpbj0i77u/IiBpZD0iVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkIj8+IDx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IkFkb2JlIFhNUCBDb3JlIDUuMC1jMDYwIDYxLjEzNDc3NywgMjAxMC8wMi8xMi0xNzozMjowMCAgICAgICAgIj4gPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4gPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgeG1sbnM6eG1wTU09Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9tbS8iIHhtbG5zOnN0UmVmPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VSZWYjIiB4bWxuczp4bXA9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC8iIHhtcE1NOk9yaWdpbmFsRG9jdW1lbnRJRD0ieG1wLmRpZDo1N0NEMjA4MDI1MjA2ODExOTk0QzkzNTEzRjZEQTg1NyIgeG1wTU06RG9jdW1lbnRJRD0ieG1wLmRpZDozM0NDOEJGNEZGNTcxMUUxODdBOEVCODg2RjdCQ0QwOSIgeG1wTU06SW5zdGFuY2VJRD0ieG1wLmlpZDozM0NDOEJGM0ZGNTcxMUUxODdBOEVCODg2RjdCQ0QwOSIgeG1wOkNyZWF0b3JUb29sPSJBZG9iZSBQaG90b3Nob3AgQ1M1IE1hY2ludG9zaCI+IDx4bXBNTTpEZXJpdmVkRnJvbSBzdFJlZjppbnN0YW5jZUlEPSJ4bXAuaWlkOkZDN0YxMTc0MDcyMDY4MTE5NUZFRDc5MUM2MUUwNEREIiBzdFJlZjpkb2N1bWVudElEPSJ4bXAuZGlkOjU3Q0QyMDgwMjUyMDY4MTE5OTRDOTM1MTNGNkRBODU3Ii8+IDwvcmRmOkRlc2NyaXB0aW9uPiA8L3JkZjpSREY+IDwveDp4bXBtZXRhPiA8P3hwYWNrZXQgZW5kPSJyIj8+84NovQAAAR1JREFUeNpiZEADy85ZJgCpeCB2QJM6AMQLo4yOL0AWZETSqACk1gOxAQN+cAGIA4EGPQBxmJA0nwdpjjQ8xqArmczw5tMHXAaALDgP1QMxAGqzAAPxQACqh4ER6uf5MBlkm0X4EGayMfMw/Pr7Bd2gRBZogMFBrv01hisv5jLsv9nLAPIOMnjy8RDDyYctyAbFM2EJbRQw+aAWw/LzVgx7b+cwCHKqMhjJFCBLOzAR6+lXX84xnHjYyqAo5IUizkRCwIENQQckGSDGY4TVgAPEaraQr2a4/24bSuoExcJCfAEJihXkWDj3ZAKy9EJGaEo8T0QSxkjSwORsCAuDQCD+QILmD1A9kECEZgxDaEZhICIzGcIyEyOl2RkgwAAhkmC+eAm0TAAAAABJRU5ErkJggg=="></a></p>
</div>
<div class="quarto-title-meta-contents">
<p class="affiliation">
University of Oxford / <a href="https://www.cirhss.org/" target="_blank" style="color:DodgerBlue;">CIRHSS</a> & <a href="https://github.com/complexico" target="_blank" style="color:DodgerBlue;">CompLexico</a>, Udayana University
</p>
</div>
</div>
<div class="quarto-title-meta">
<div>
<div class="quarto-title-meta-heading">Published</div>
<div class="quarto-title-meta-contents">
<p class="date">July 20, 2024</p>
</div>
</div>
<div>
<div class="quarto-title-meta-heading">Modified</div>
<div class="quarto-title-meta-contents">
<p class="date-modified">July 25, 2024</p>
</div>
</div>
</div>
</header>
<section id="materials" class="level2 unnumbered">
<h2 class="unnumbered anchored" data-anchor-id="materials">Materials</h2>
<ul>
<li><p>source files for all materials:</p>
<ul>
<li><a href="https://github.com/complexico/dipscorling2024" class="uri">https://github.com/complexico/dipscorling2024</a></li>
</ul></li>
<li><p>pdf version as a handout <a href="https://github.com/complexico/dipscorling2024/blob/main/02-practice.pdf">here</a></p></li>
<li><p>How to cite these materials:</p>
<blockquote class="blockquote">
<p>Rajeg, Gede Primahadi Wijaya. 2024. Materials for the <em>Diponegoro Summer Course in Corpus Linguistics</em> (<em>DipSCORLING 2024</em>) (22 - 27 July 2024). R Quarto. Zenodo. <a href="https://doi.org/10.5281/zenodo.12793922">https://doi.org/10.5281/zenodo.12793922</a>. (22 July, 2024).</p>
</blockquote></li>
</ul>
</section>
<section id="operationalising-conceptual-aim-into-query-in-the-concordance-feature-of-ske" class="level2" data-number="1">
<h2 data-number="1" class="anchored" data-anchor-id="operationalising-conceptual-aim-into-query-in-the-concordance-feature-of-ske"><span class="header-section-number">1</span> Operationalising conceptual aim into query in the Concordance feature of SkE</h2>
<ul>
<li><p>Corpus: <code>English Web 2021 (enTenTen21)</code></p></li>
<li><p>Your aim (read through this till the end before conducting the query):</p>
<ul>
<li><p>You only start using the <code>BASIC</code></p></li>
<li><p>You are interested in comparing the uses of the form <em>touch</em> in two text types under the <strong>Topic</strong> (<em>sport</em> and <em>beauty & fashion</em>) based on 20 random concordance lines from each topic.</p></li>
<li><p>Before you download each of the generated concordance, you want to sort the concordance such that more revealing pattern emerges for further inspection.</p></li>
<li><p>Moreover, in the concordance output window, you want to have information about the tag of the words in the concordance (recall Niall’s session yesterday).</p></li>
<li><p>You also want to save/download each concordance output from the two <strong>Topic</strong> into two different .xlsx files.</p></li>
</ul></li>
<li><p>Your turn:</p>
<ul>
<li><p>I will let you share screen to show how to go about operationalising that aim.</p></li>
<li><p>NB: my concordance of <em>touch</em> in <em>beauty & fashion</em> topic (it will be different from yours because it is randomised): <a href="https://ske.li/151" class="uri">https://ske.li/151</a></p></li>
<li><p>NB: my concordance of <em>touch</em> in <em>sports</em> topic (it will be different from yours because it is randomised): <a href="https://ske.li/152" class="uri">https://ske.li/152</a></p></li>
</ul></li>
</ul>
</section>
<section id="heuristic-inspection-of-the-usage-pattern-found-in-the-concordance" class="level2" data-number="2">
<h2 data-number="2" class="anchored" data-anchor-id="heuristic-inspection-of-the-usage-pattern-found-in-the-concordance"><span class="header-section-number">2</span> Heuristic inspection of the usage pattern found in the concordance</h2>
<ul>
<li><p>Corpus/Data: your <em>touch</em> data</p></li>
<li><p>Task:</p>
<ul>
<li>with only 20 lines, could you spot some recurring patterns with <em>touch</em>? (e.g., whether <em>touch</em> appears in certain syntactic phrases with a more-or-less other fixed word?)</li>
</ul></li>
</ul>
</section>
<section id="word-classpart-of-speech-of-touch" class="level2" data-number="3">
<h2 data-number="3" class="anchored" data-anchor-id="word-classpart-of-speech-of-touch"><span class="header-section-number">3</span> Word class/Part-of-speech of <em>touch</em></h2>
<ul>
<li><p>Corpus/Data: your <em>touch</em> data</p></li>
<li><p>Conceptual aspect:</p>
<ul>
<li>intuite about what is the predominant word class/part-of-speech of <em>touch</em> in the sample? For me, I’d bet that <em>touch</em> is predominantly verbal.</li>
</ul></li>
<li><p>Task:</p>
<ul>
<li><p>if you have included information about the tag for each word via the <code>View options</code> feature, quantify the frequency of tag types for <em>touch</em> in each concordance file (i.e., for <em>sports</em> and for <em>beauty&fashion</em>).</p>
<ul>
<li><p>what is the proportion of noun-oriented tag (that starting with <code>N</code>) vs. verb-oriented tag vs. others (if any).</p></li>
<li><p>does your intuition correspond with the sample data?</p></li>
</ul></li>
</ul></li>
</ul>
</section>
<section id="literal-vs.-metaphorical-meaning" class="level2" data-number="4">
<h2 data-number="4" class="anchored" data-anchor-id="literal-vs.-metaphorical-meaning"><span class="header-section-number">4</span> literal vs. metaphorical meaning</h2>
<ul>
<li><p>Corpus/Data: your <em>touch</em> data</p></li>
<li><p>Background:</p>
<ul>
<li><p>As an oversimplification for this exercise, the metaphorical meaning for <em>touch</em> (a physical action lexeme) refers to the meaning where it does not involve any physical touching. That is a more abstract sense of <em>touch</em> (like in the domain of emotion [e.g., <em>I am touched by your kindness</em>], or others [e.g., expertise of someone at doing something]).</p></li>
<li><p>This is where you will practice further reading concordance data line-by-line and annotating each line for a given variable of interest (in this case, say, MEANING variable with two or more levels/categories: <em>metaphoric</em>, <em>literal</em>, or <em>unclear</em>).</p></li>
</ul></li>
<li><p>Task:</p>
<ul>
<li><p>In your Excel sheet concordance data, make a new column (immediately to the right of the column for the right context) with the variable name</p></li>
<li><p>Then, inspect line by line <em>qualitatively</em> to determine whether the use of <em>touch</em> in each line is metaphorical, literal, or unclear</p></li>
<li><p>Quantify the proportion of these meanings per concordance file.</p>
<ul>
<li>Does certain meaning of <em>touch</em> appear relatively more frequently in one text type over the other?</li>
</ul></li>
</ul></li>
</ul>
</section>
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el.classList.remove("page-full", "page-columns");
if (el.children) {
for (const child of el.children) {
stripColumnClz(child);
}
}
}
stripColumnClz(note)
if (id === null || id.startsWith('sec-')) {
// Special case sections, only their first couple elements
const container = document.createElement("div");
if (note.children && note.children.length > 2) {
container.appendChild(note.children[0].cloneNode(true));
for (let i = 1; i < note.children.length; i++) {
const child = note.children[i];
if (child.tagName === "P" && child.innerText === "") {
continue;
} else {
container.appendChild(child.cloneNode(true));
break;
}
}
if (window.Quarto?.typesetMath) {
window.Quarto.typesetMath(container);
}
return container.innerHTML
} else {
if (window.Quarto?.typesetMath) {
window.Quarto.typesetMath(note);
}
return note.innerHTML;
}
} else {
// Remove any anchor links if they are present
const anchorLink = note.querySelector('a.anchorjs-link');
if (anchorLink) {
anchorLink.remove();
}
if (window.Quarto?.typesetMath) {
window.Quarto.typesetMath(note);
}
// TODO in 1.5, we should make sure this works without a callout special case
if (note.classList.contains("callout")) {
return note.outerHTML;
} else {
return note.innerHTML;
}
}
}
for (var i=0; i<xrefs.length; i++) {
const xref = xrefs[i];
tippyHover(xref, undefined, function(instance) {
instance.disable();
let url = xref.getAttribute('href');
let hash = undefined;
if (url.startsWith('#')) {
hash = url;
} else {
try { hash = new URL(url).hash; } catch {}
}
if (hash) {
const id = hash.replace(/^#\/?/, "");
const note = window.document.getElementById(id);
if (note !== null) {
try {
const html = processXRef(id, note.cloneNode(true));
instance.setContent(html);
} finally {
instance.enable();
instance.show();
}
} else {
// See if we can fetch this
fetch(url.split('#')[0])
.then(res => res.text())
.then(html => {
const parser = new DOMParser();
const htmlDoc = parser.parseFromString(html, "text/html");
const note = htmlDoc.getElementById(id);
if (note !== null) {
const html = processXRef(id, note);
instance.setContent(html);
}
}).finally(() => {
instance.enable();
instance.show();
});
}
} else {
// See if we can fetch a full url (with no hash to target)
// This is a special case and we should probably do some content thinning / targeting
fetch(url)
.then(res => res.text())
.then(html => {
const parser = new DOMParser();
const htmlDoc = parser.parseFromString(html, "text/html");
const note = htmlDoc.querySelector('main.content');
if (note !== null) {
// This should only happen for chapter cross references
// (since there is no id in the URL)
// remove the first header
if (note.children.length > 0 && note.children[0].tagName === "HEADER") {
note.children[0].remove();
}
const html = processXRef(null, note);
instance.setContent(html);
}
}).finally(() => {
instance.enable();
instance.show();
});
}
}, function(instance) {
});
}
let selectedAnnoteEl;
const selectorForAnnotation = ( cell, annotation) => {
let cellAttr = 'data-code-cell="' + cell + '"';
let lineAttr = 'data-code-annotation="' + annotation + '"';
const selector = 'span[' + cellAttr + '][' + lineAttr + ']';
return selector;
}
const selectCodeLines = (annoteEl) => {
const doc = window.document;
const targetCell = annoteEl.getAttribute("data-target-cell");
const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
const annoteSpan = window.document.querySelector(selectorForAnnotation(targetCell, targetAnnotation));
const lines = annoteSpan.getAttribute("data-code-lines").split(",");
const lineIds = lines.map((line) => {
return targetCell + "-" + line;
})
let top = null;
let height = null;
let parent = null;
if (lineIds.length > 0) {
//compute the position of the single el (top and bottom and make a div)
const el = window.document.getElementById(lineIds[0]);
top = el.offsetTop;
height = el.offsetHeight;
parent = el.parentElement.parentElement;
if (lineIds.length > 1) {
const lastEl = window.document.getElementById(lineIds[lineIds.length - 1]);
const bottom = lastEl.offsetTop + lastEl.offsetHeight;
height = bottom - top;
}
if (top !== null && height !== null && parent !== null) {
// cook up a div (if necessary) and position it
let div = window.document.getElementById("code-annotation-line-highlight");
if (div === null) {
div = window.document.createElement("div");
div.setAttribute("id", "code-annotation-line-highlight");
div.style.position = 'absolute';
parent.appendChild(div);
}
div.style.top = top - 2 + "px";
div.style.height = height + 4 + "px";
div.style.left = 0;
let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
if (gutterDiv === null) {
gutterDiv = window.document.createElement("div");
gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
gutterDiv.style.position = 'absolute';
const codeCell = window.document.getElementById(targetCell);
const gutter = codeCell.querySelector('.code-annotation-gutter');
gutter.appendChild(gutterDiv);
}
gutterDiv.style.top = top - 2 + "px";
gutterDiv.style.height = height + 4 + "px";
}
selectedAnnoteEl = annoteEl;
}
};
const unselectCodeLines = () => {
const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
elementsIds.forEach((elId) => {
const div = window.document.getElementById(elId);
if (div) {
div.remove();
}
});
selectedAnnoteEl = undefined;
};
// Handle positioning of the toggle
window.addEventListener(
"resize",
throttle(() => {
elRect = undefined;
if (selectedAnnoteEl) {
selectCodeLines(selectedAnnoteEl);
}
}, 10)
);
function throttle(fn, ms) {
let throttle = false;
let timer;
return (...args) => {
if(!throttle) { // first call gets through
fn.apply(this, args);
throttle = true;
} else { // all the others get throttled
if(timer) clearTimeout(timer); // cancel #2
timer = setTimeout(() => {
fn.apply(this, args);
timer = throttle = false;
}, ms);
}
};
}
// Attach click handler to the DT
const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
for (const annoteDlNode of annoteDls) {
annoteDlNode.addEventListener('click', (event) => {
const clickedEl = event.target;
if (clickedEl !== selectedAnnoteEl) {
unselectCodeLines();
const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
if (activeEl) {
activeEl.classList.remove('code-annotation-active');
}
selectCodeLines(clickedEl);
clickedEl.classList.add('code-annotation-active');
} else {
// Unselect the line
unselectCodeLines();
clickedEl.classList.remove('code-annotation-active');
}
});
}
const findCites = (el) => {
const parentEl = el.parentElement;
if (parentEl) {
const cites = parentEl.dataset.cites;
if (cites) {
return {
el,
cites: cites.split(' ')
};
} else {
return findCites(el.parentElement)
}
} else {
return undefined;
}
};
var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
for (var i=0; i<bibliorefs.length; i++) {
const ref = bibliorefs[i];
const citeInfo = findCites(ref);
if (citeInfo) {
tippyHover(citeInfo.el, function() {
var popup = window.document.createElement('div');
citeInfo.cites.forEach(function(cite) {
var citeDiv = window.document.createElement('div');
citeDiv.classList.add('hanging-indent');
citeDiv.classList.add('csl-entry');
var biblioDiv = window.document.getElementById('ref-' + cite);
if (biblioDiv) {
citeDiv.innerHTML = biblioDiv.innerHTML;
}
popup.appendChild(citeDiv);
});
return popup.innerHTML;
});
}
}
});
</script>
</div> <!-- /content -->
</body></html>