{"id":101224,"date":"2026-05-14T09:46:15","date_gmt":"2026-05-14T13:46:15","guid":{"rendered":"https:\/\/carleton.ca\/news\/?post_type=cu_story&#038;p=101224"},"modified":"2026-05-14T09:47:25","modified_gmt":"2026-05-14T13:47:25","slug":"words-look-like-their-meaning","status":"publish","type":"cu_story","link":"https:\/\/carleton.ca\/news\/story\/words-look-like-their-meaning\/","title":{"rendered":"Slanguage: When Words Look Like Their Meaning, We Process Them Faster, New Research Reveals"},"content":{"rendered":"\n<section class=\"w-screen px-6 cu-section cu-section--white ml-offset-center md:px-8 lg:px-14\">\n    <div class=\"space-y-6 cu-max-w-child-max  md:space-y-10 cu-prose-first-last\">\n\n        \n                    \n                    \n            \n    <div class=\"cu-wideimage relative flex items-center justify-center mx-auto px-8 overflow-hidden md:px-16 rounded-xl not-prose  my-6 md:my-12 first:mt-0 bg-opacity-50 bg-cover bg-cu-black-50 pt-24 pb-32 md:pt-28 md:pb-44 lg:pt-36 lg:pb-60 xl:pt-48 xl:pb-72\" style=\"background-image: url(https:\/\/carleton.ca\/news\/wp-content\/uploads\/sites\/162\/2026\/05\/unsplash-bubbles-1920x1280-1-1600x700.jpg); background-position: 95% 81%;\">\n\n                    <div class=\"absolute top-0 w-full h-screen\" style=\"background-color:rgba(0,0,0,0.600);\"><\/div>\n        \n        <div class=\"relative z-[2] max-w-4xl w-full flex flex-col items-center gap-2 cu-wideimage-image cu-zero-first-last\">\n            <header class=\"mx-auto mb-6 text-center text-white cu-pageheader cu-component-updated cu-pageheader--center md:mb-12\">\n\n                                    <h1 class=\"cu-prose-first-last font-semibold mb-2 text-3xl md:text-4xl lg:text-5xl lg:leading-[3.5rem] cu-pageheader--center text-center mx-auto after:left-px\">\n                        Slanguage: When Words Look Like Their Meaning, We Process Them Faster, New Research Reveals\n                    <\/h1>\n                \n                            <\/header>\n        <\/div>\n\n                    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"absolute bottom-0 w-full z-[1]\" fill=\"none\" viewbox=\"0 0 1280 312\">\n                <path fill=\"#fff\" d=\"M26.412 315.608c-.602-.268-6.655-2.412-13.524-4.769a1943.84 1943.84 0 0 1-14.682-5.144l-2.276-.858v-5.358c0-4.876.086-5.358.773-5.09 1.674.643 21.38 5.84 34.646 9.109 14.682 3.59 28.935 6.858 45.936 10.449l9.874 2.089H57.322c-16.4 0-30.31-.16-30.91-.428ZM460.019 315.233c42.974-10.074 75.602-19.88 132.443-39.867 76.16-26.791 152.063-57.709 222.385-90.663 16.7-7.823 21.336-10.074 44.262-21.273 85.004-41.688 134.719-64.193 195.291-88.413 66.55-26.577 145.2-53.584 194.27-66.765C1258.5 5.626 1281.34 0 1282.24 0c.17 0 .34 27.596.34 61.3v61.299l-2.23.375c-84.7 13.718-165.93 35.955-310.736 84.931-46.494 15.753-65.427 22.076-96.166 32.15-9.102 3-24.814 8.198-34.989 11.574-107.543 35.954-153.008 50.422-196.626 62.639l-6.74 1.876-89.126-.054c-78.135-.054-88.782-.161-85.948-.857ZM729.628 312.875c33.229-10.985 69.248-23.523 127.506-44.207 118.705-42.223 164.596-57.709 217.446-73.302 2.62-.75 8.29-2.465 12.67-3.751 56.19-16.772 126.94-33.597 184.17-43.671 5.07-.91 9.66-1.768 10.22-1.875l.94-.161v170.236l-281.28-.054H719.968l9.66-3.215ZM246.864 313.411c-65.041-2.251-143.047-12.11-208.432-26.256-18.375-3.965-41.73-9.538-42.202-10.074-.171-.214-.257-21.38-.214-47.046l.129-46.618 6.654 3.697c57.313 32.043 118.491 56.531 197.699 79.143 40.313 11.521 83.459 18.058 138.669 21.059 15.584.857 65.685.857 81.14 0 33.744-1.876 61.306-4.93 88.396-9.806 6.396-1.126 11.634-1.983 11.722-1.929.255.375-20.48 7.769-30.999 11.038-28.592 8.948-59.288 15.646-91.873 20.147-26.36 3.59-50.015 5.627-78.35 6.698-15.584.59-55.209.59-72.339-.053Z\"><\/path>\n                <path fill=\"#fff\" d=\"M-3.066 295.067 32.06 304.1v9.033H-3.066v-18.066Z\"><\/path>\n            <\/svg>\n            <\/div>\n\n    \n\n    <\/div>\n<\/section>\n\n\n\n<p>Think about a word that looks like its meaning. For instance, the word <em>bed<\/em> kind of looks like a bed, with the vertical lines resembling the posts at either end. <em>Loop<\/em> looks very loopy.<\/p>\n\n\n\n<p>Some words are more subtly evocative \u2014 like <em>blizzard<\/em>, whose zigzagging letters might evoke something chaotic.<\/p>\n\n\n\n<p>The term for this is &#8220;iconicity&#8221; and it has typically been studied <a href=\"https:\/\/doi.org\/10.3758\/s13428-023-02112-6\">in the sounds of words<\/a>. For example, the word <em>meow<\/em> resembles the sound of a cat. The word <em>teeny<\/em> sounds like something small.<\/p>\n\n\n\n<p>My recent study <a href=\"https:\/\/doi.org\/10.1016\/j.cognition.2026.106550\">explored iconicity in the visual appearance of words in English<\/a> for the first time. I found that people processed words faster and more accurately when the words physically resembled their meanings.<\/p>\n\n\n\n<h2 id=\"english-letters-began-as-visual-symbols\" class=\"wp-block-heading has-text-align-center\">English letters began as visual symbols<\/h2>\n\n\n\n<p>The letters we use in English (which is a Latin script inherited from the Roman alphabet) actually started out as visual symbols. They <a href=\"https:\/\/press.uchicago.edu\/ucp\/books\/book\/distributed\/H\/bo70558916.html\">likely evolved from Egyptian hieroglyphs<\/a>.<\/p>\n\n\n\n<p>One possibility is that these Egyptian symbols were adopted by speakers of a North Semitic language, around 1800-1600 BC, into what is called the &#8220;Proto-Sinaitic&#8221; script.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter\"><a href=\"https:\/\/images.theconversation.com\/files\/735493\/original\/file-20260513-57-74hlm3.jpg?ixlib=rb-4.1.0&amp;q=45&amp;auto=format&amp;w=1000&amp;fit=clip\"><img decoding=\"async\" src=\"https:\/\/images.theconversation.com\/files\/735493\/original\/file-20260513-57-74hlm3.jpg?ixlib=rb-4.1.0&amp;q=45&amp;auto=format&amp;w=754&amp;fit=clip\" alt=\"Egyptian hieroglyphs depicting birds, eyes and other images in green, red and gold colour.\"\/><\/a><figcaption class=\"wp-element-caption\">Hieroglyphs from the tomb of Pharaoh Seti I, in Egypt&#8217;s Valley of the Kings. <a href=\"https:\/\/upload.wikimedia.org\/wikipedia\/commons\/c\/c9\/Hieroglyphs_from_the_tomb_of_Seti_I.jpg?utm_source=commons.wikimedia.org&amp;utm_campaign=index&amp;utm_content=original\">(Wikimedia Commons)<\/a><\/figcaption><\/figure>\n\n\n\n<p>This script used symbols to code for the first sound of the pictured thing. This is called the acrophony principle. For example, <a href=\"https:\/\/www.metmuseum.org\/exhibitions\/listings\/2014\/assyria-to-iberia\/blog\/posts\/alphabet\">our letter M comes from a symbol for water, taking the first sound of the word <em>mayim<\/em>.<\/a><\/p>\n\n\n\n<p>The letters have changed so much that these ancient origins aren&#8217;t relevant to reading English today. But there is some evidence that the shapes of letters have some relationship to the sounds they convey. For example, one <a href=\"https:\/\/doi.org\/10.1098\/rsos.170882\">study assembled letters for the sound \/i\/ (as in bee) and \/u\/ (as in boo) from 56 different languages<\/a> and asked people to guess which was which. It turned out that people could do this, more often than expected by chance.<\/p>\n\n\n\n<p>But this isn&#8217;t quite what I was interested in here. Rather than asking if the shapes of letters are related to the sounds of words, I was interested in whether those shapes are related to the meanings of words.<\/p>\n\n\n\n<h2 id=\"bubble-hoop-wiggle\" class=\"wp-block-heading has-text-align-center\">Bubble, hoop, wiggle<\/h2>\n\n\n\n<p>In this research, I asked participants to rate more than 3,000 words according to how much the shape of their letters resembled their meaning, using a scale of one to seven.<\/p>\n\n\n\n<p>This is a common approach in the study of psycholinguistics. We often ask people to rate words on one dimension \u2014 for example, how concrete a word is, or how positive a word is \u2014 and then use those ratings to understand how people process word meaning.<\/p>\n\n\n\n<p>The first thing to note is that there was agreement across participants, at least on par with ratings of other word properties in the past.<\/p>\n\n\n\n<p>The <a href=\"https:\/\/osf.io\/msfy3\/files\/qacj4\">highest-rated words<\/a> included <em>bubble<\/em>, <em>look<\/em>, <em>wiggle<\/em>, <em>hoop<\/em>, <em>puppy<\/em> and <em>bed<\/em>.<\/p>\n\n\n\n<p>It&#8217;s easy to come up with explanations for these ratings. <em>Puppy<\/em> looks like it has legs and a tail. There is something wiggly about the two G&#8217;s in the middle of <em>wiggle<\/em>.<\/p>\n\n\n\n<p>But can we actually tell how participants made their ratings? We can get some clues by looking at the kinds of words that get higher ratings.<\/p>\n\n\n\n<h2 id=\"round-letters-spiky-letters\" class=\"wp-block-heading has-text-align-center\">Round letters, spiky letters<\/h2>\n\n\n\n<p>Words with high ratings tended to refer to things you can see. This makes sense if participants were actually considering a resemblance between the word and its meaning.<\/p>\n\n\n\n<p>Getting more specific, when a word for a round thing contained round letters (for example, O, G and C), it was rated higher. When a word for a spiky thing contained spiky letters (like W, Z and X), it was rated higher. Words for small things tended to be rated higher when they contained fewer letters.<\/p>\n\n\n\n<p>All in all, it seems like the ratings actually did capture a resemblance between the look of a word and its meaning.<\/p>\n\n\n\n<p>This is all well and good, but does it matter? To answer this, I used <a href=\"https:\/\/doi.org\/10.3758\/BF03193014\">three<\/a> <a href=\"https:\/\/doi.org\/10.3758\/s13428-011-0118-4\">existing<\/a> <a href=\"https:\/\/doi.org\/10.3758\/s13428-019-01272-8\">databases<\/a> with information on how quickly people can process individual words. These are from studies that, for example, present participants with strings of letters (for example, <em>spoon<\/em> or <em>flarg<\/em>) and have them identify them as real or invented words as quickly as possible.<\/p>\n\n\n\n<p>In all three databases, I found that people were faster and more accurate at processing words that looked like their meanings. This was after accounting for all kinds of things like how common a word is, how many letters it contains and how easy a word&#8217;s meaning is to picture. Not only that, these words tended to be learned at an earlier age.<\/p>\n\n\n\n<p>There is a growing appreciation that language is more than words and their meanings. It <a href=\"https:\/\/www.doi.org\/10.5334\/joc.113\">involves all kinds of things like tone of voice, gesture and gaze<\/a>. We can now add one additional subtle cue: the shapes of letters.<\/p>\n\n\n\n<p>\u2013<br><em><a href=\"https:\/\/carleton.ca\/psychology\/people\/david-sidhu\/\" target=\"_blank\" rel=\"noreferrer noopener\">David Sidhu<\/a>\u00a0is an assistant professor in psychology at<\/em>\u00a0<em>Carleton University.<\/em><\/p>\n\n\n\n<p><em>This article is\u00a0<a href=\"https:\/\/theconversation.com\/when-words-look-like-their-meaning-we-process-them-faster-new-research-reveals-282228\" target=\"_blank\" rel=\"noreferrer noopener\">republished<\/a>\u00a0from The Conversation under a Creative Commons licence. All photos provided by\u00a0<a href=\"https:\/\/theconversation.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">The Conversation<\/a>\u00a0from various from various sources.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Think about a word that looks like its meaning. For instance, the word bed kind of looks like a bed, with the vertical lines resembling the posts at either end. Loop looks very loopy. Some words are more subtly evocative \u2014 like blizzard, whose zigzagging letters might evoke something chaotic. The term for this is [&hellip;]<\/p>\n","protected":false},"author":52,"featured_media":101229,"template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"cu_story_type":[1623],"cu_story_tag":[1920,1925],"class_list":["post-101224","cu_story","type-cu_story","status-publish","has-post-thumbnail","hentry","cu_story_type-expert-perspectives","cu_story_tag-faculty-of-arts-and-social-sciences","cu_story_tag-research"],"acf":{"cu_post_thumbnail":""},"_links":{"self":[{"href":"https:\/\/carleton.ca\/news\/wp-json\/wp\/v2\/cu_story\/101224","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/carleton.ca\/news\/wp-json\/wp\/v2\/cu_story"}],"about":[{"href":"https:\/\/carleton.ca\/news\/wp-json\/wp\/v2\/types\/cu_story"}],"author":[{"embeddable":true,"href":"https:\/\/carleton.ca\/news\/wp-json\/wp\/v2\/users\/52"}],"version-history":[{"count":5,"href":"https:\/\/carleton.ca\/news\/wp-json\/wp\/v2\/cu_story\/101224\/revisions"}],"predecessor-version":[{"id":101231,"href":"https:\/\/carleton.ca\/news\/wp-json\/wp\/v2\/cu_story\/101224\/revisions\/101231"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/carleton.ca\/news\/wp-json\/wp\/v2\/media\/101229"}],"wp:attachment":[{"href":"https:\/\/carleton.ca\/news\/wp-json\/wp\/v2\/media?parent=101224"}],"wp:term":[{"taxonomy":"cu_story_type","embeddable":true,"href":"https:\/\/carleton.ca\/news\/wp-json\/wp\/v2\/cu_story_type?post=101224"},{"taxonomy":"cu_story_tag","embeddable":true,"href":"https:\/\/carleton.ca\/news\/wp-json\/wp\/v2\/cu_story_tag?post=101224"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}