{"id":2085,"date":"2024-01-15T20:03:49","date_gmt":"2024-01-15T19:03:49","guid":{"rendered":"https:\/\/ada-sub.dh-index.org\/blog\/?p=2085"},"modified":"2024-01-23T19:51:47","modified_gmt":"2024-01-23T18:51:47","slug":"14033-corpus-ha-2","status":"publish","type":"post","link":"https:\/\/ada-sub.dh-index.org\/blog\/14033-corpus-ha-2\/","title":{"rendered":"14033.corpusLX.HA"},"content":{"rendered":"<style>#knitxwp-2085 pre {  width: 100%;  overflow: scroll;  color:green;}<\/style>\n<div id=\"knitxwp-2085\">\n<div id=\"2085-top-1\">\n<style>.backtop a{font-size:24px;text-decoration:none;}<\/style>\n<\/div>\n<ul>\n<li><a href=\"#2085-term-paper-draft\">1 term paper draft<\/a>\n<ul>\n<li><a href=\"#2085-init\">1.1 init<\/a><\/li>\n<li><a href=\"#2085-method\">1.2 method<\/a>\n<ul>\n<li><a href=\"#2085-corpus-sample\">1.2.1 corpus sample<\/a><\/li>\n<li><a href=\"#2085-script-used\">1.2.2 script used:<\/a><\/li>\n<li><a href=\"#2085-process\">1.2.3 process:<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li><a href=\"#2085-b-references\">2 B: references<\/a><\/li>\n<\/ul>\n<h1 id=\"2085-term-paper-draft\">1 term paper draft<\/h1>\n<p>topic #6, polysemous verbs with light and concrete senses, replication study of <a href=\"https:\/\/doi.org\/10.1515\/cllt-2017-0039\">Mehl (2021)<\/a>, further used <a href=\"https:\/\/dial.uclouvain.be\/pr\/boreal\/object\/boreal:75833\">Gilquin (2008)<\/a><\/p>\n<p>meta.snc.rmd&gt;md&gt;wp&gt;pkg&gt;toc<\/p>\n<h2 id=\"2085-init\">1.1 init <a class=\"backtop\" href=\"#2085-top-1\">\u21ea<\/a><\/h2>\n<p>\u201cIf onomasiological frequency measurements do indeed correlate with elicitation tests, potential impact would be immense. Researchers would be able to examine onomasiological frequencies in spoken corpora rather than performing elicitation tests. That possibility would facilitate cognitive research into languages and varieties around the world, without the necessity of in situ psycholinguistic testing, and would also encourage the creation of more spoken corpora.\u201d (<a href=\"https:\/\/doi.org\/10.1515\/cllt-2017-0039\">Mehl (2021) p.23<\/a>)<\/p>\n<h2 id=\"2085-method\">1.2 method <a class=\"backtop\" href=\"#2085-top-1\">\u21ea<\/a><\/h2>\n<p>following corpus was used to determine frequencies:<\/p>\n<p>Q.1: Santa Barbara corpus of spoken American English, (<a href=\"https:\/\/www.linguistics.ucsb.edu\/research\/santa-barbara-corpus\">UCSB et al. (2005)<\/a>)<\/p>\n<p>the corpus data was downloaded from: <a href=\"https:\/\/www.linguistics.ucsb.edu\/sites\/secure.lsit.ucsb.edu.ling.d7\/files\/sitefiles\/research\/SBC\/SBCorpus.zip\">https:\/\/www.linguistics.ucsb.edu\/sites\/secure.lsit.ucsb.edu.ling.d7\/files\/sitefiles\/research\/SBC\/SBCorpus.zip<\/a><\/p>\n<h3 id=\"2085-corpus-sample\">1.2.1 corpus sample <a class=\"backtop\" href=\"#2085-top-1\">\u21ea<\/a><\/h3>\n<table>\n<thead>\n<tr>\n<th align=\"left\"><\/th>\n<th align=\"right\">scb<\/th>\n<th align=\"right\">id<\/th>\n<th align=\"left\">text<\/th>\n<th align=\"right\">lfd<\/th>\n<th align=\"right\">light<\/th>\n<th align=\"left\">alt<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td align=\"left\">2974<\/td>\n<td align=\"right\">3<\/td>\n<td align=\"right\">242<\/td>\n<td align=\"left\">% I wanted it to be home made Q .<\/td>\n<td align=\"right\">2974<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">make<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">65343<\/td>\n<td align=\"right\">57<\/td>\n<td align=\"right\">123<\/td>\n<td align=\"left\">\u2026 It\u2019s gonna get messed up.<\/td>\n<td align=\"right\">65343<\/td>\n<td align=\"right\">NA<\/td>\n<td align=\"left\">a-other<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">9465<\/td>\n<td align=\"right\">8<\/td>\n<td align=\"right\">567<\/td>\n<td align=\"left\">and then I didn\u2019t and I .. kept making like,<\/td>\n<td align=\"right\">9465<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"left\">make<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">67928<\/td>\n<td align=\"right\">59<\/td>\n<td align=\"right\">714<\/td>\n<td align=\"left\">And he\u2019s really good at making out .. the budget.<\/td>\n<td align=\"right\">67928<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"left\">make<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">35078<\/td>\n<td align=\"right\">30<\/td>\n<td align=\"right\">612<\/td>\n<td align=\"left\">\u2026 God is continually .. building character.<\/td>\n<td align=\"right\">35078<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">build<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">61913<\/td>\n<td align=\"right\">53<\/td>\n<td align=\"right\">604<\/td>\n<td align=\"left\">and make the payroll,<\/td>\n<td align=\"right\">61913<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"left\">make<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">28500<\/td>\n<td align=\"right\">24<\/td>\n<td align=\"right\">25<\/td>\n<td align=\"left\">.. Yeah.<\/td>\n<td align=\"right\">28500<\/td>\n<td align=\"right\">NA<\/td>\n<td align=\"left\">a-other<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3 id=\"2085-script-used\">1.2.2 script used: <a class=\"backtop\" href=\"#2085-top-1\">\u21ea<\/a><\/h3>\n<p><a href=\"https:\/\/github.com\/esteeschwarz\/SPUND-LX\/blob\/main\/corpusLX\/14015-HA\/14015.concrete-abstract_HA.R\">14015.concrete-abstract_HA.R<\/a><\/p>\n<h3 id=\"2085-process\">1.2.3 process: <a class=\"backtop\" href=\"#2085-top-1\">\u21ea<\/a><\/h3>\n<h4 id=\"2085-distribution-analysis\">1.2.3.1 distribution analysis <a class=\"backtop\" href=\"#2085-top-1\">\u21ea<\/a><\/h4>\n<p>cf. (Mehl 2021, 11\u201314)<\/p>\n<table>\n<thead>\n<tr>\n<th align=\"left\"><\/th>\n<th align=\"right\">ICE.written<\/th>\n<th align=\"right\">ICE.spoken<\/th>\n<th align=\"right\">SBC.spoken<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td align=\"left\">concrete<\/td>\n<td align=\"right\">68<\/td>\n<td align=\"right\">96<\/td>\n<td align=\"right\">89<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">light<\/td>\n<td align=\"right\">321<\/td>\n<td align=\"right\">353<\/td>\n<td align=\"right\">381<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<figure>\n<img decoding=\"async\" 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\" alt=\"distribution of lemma \/make\/ over corpora. ICE data from study.\" \/><figcaption aria-hidden=\"true\">distribution of lemma \/make\/ over corpora. ICE data from study.<\/figcaption><\/figure>\n<h4 id=\"2085-semantic-alternatives-to-make\">1.2.3.2 semantic alternatives to make <a class=\"backtop\" href=\"#2085-top-1\">\u21ea<\/a><\/h4>\n<p>this contrast includes made up alternatives to \/make\/ that Mehl defined in his study. we do not account for the context of these alternatives in the corpus texts, i.e.\u00a0all occurences are counted. Mehl contrasted only these alternate occurences which \u201care defined as those verbs that occur in the corpus with the same concrete direct objects as make, (take, and give,) and with a roughly equivalent meaning.\u201d Mehl puts these under \u201conomasiological alternates\u201d. (cf. Mehl (2021) p.13)<\/p>\n<table>\n<thead>\n<tr>\n<th align=\"left\">Var1<\/th>\n<th align=\"right\">Freq<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td align=\"left\">build<\/td>\n<td align=\"right\">101<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">construct<\/td>\n<td align=\"right\">1<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">create<\/td>\n<td align=\"right\">23<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">generate<\/td>\n<td align=\"right\">4<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">make<\/td>\n<td align=\"right\">89<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">produce<\/td>\n<td align=\"right\">5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>semantic alternatives<\/p>\n<figure>\n<img decoding=\"async\" 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\" alt=\"proportion of semantic alternatives to concrete \/make\/ in SBC\" \/><figcaption aria-hidden=\"true\">proportion of semantic alternatives to concrete \/make\/ in SBC<\/figcaption><\/figure>\n<figure>\n<img decoding=\"async\" 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\" alt=\"proportion of semantic alternatives, only equivalent meaning of alternates\" \/><figcaption aria-hidden=\"true\">proportion of semantic alternatives, only equivalent meaning of alternates<\/figcaption><\/figure>\n<table>\n<thead>\n<tr>\n<th align=\"left\"><\/th>\n<th align=\"left\">SLOT1<\/th>\n<th align=\"left\">SLOT2<\/th>\n<th align=\"right\">fS1<\/th>\n<th align=\"right\">fS2<\/th>\n<th align=\"right\">OBS<\/th>\n<th align=\"right\">EXP<\/th>\n<th align=\"left\">ASSOC<\/th>\n<th align=\"right\">COLL.STR.LOGL<\/th>\n<th align=\"left\">SIGNIF<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td align=\"left\">137<\/td>\n<td align=\"left\">finish<\/td>\n<td align=\"left\">afghan<\/td>\n<td align=\"right\">13<\/td>\n<td align=\"right\">2<\/td>\n<td align=\"right\">2<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">attr<\/td>\n<td align=\"right\">28.51461<\/td>\n<td align=\"left\">*****<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">654<\/td>\n<td align=\"left\">Filled<\/td>\n<td align=\"left\">cookie<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">6<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">attr<\/td>\n<td align=\"right\">15.81813<\/td>\n<td align=\"left\">****<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">924<\/td>\n<td align=\"left\">create<\/td>\n<td align=\"left\">Adam<\/td>\n<td align=\"right\">13<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">attr<\/td>\n<td align=\"right\">14.17394<\/td>\n<td align=\"left\">***<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">928<\/td>\n<td align=\"left\">create<\/td>\n<td align=\"left\">rift<\/td>\n<td align=\"right\">13<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">attr<\/td>\n<td align=\"right\">14.17394<\/td>\n<td align=\"left\">***<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">930<\/td>\n<td align=\"left\">record<\/td>\n<td align=\"left\">Simpsons<\/td>\n<td align=\"right\">13<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">attr<\/td>\n<td align=\"right\">14.17394<\/td>\n<td align=\"left\">***<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">1337<\/td>\n<td align=\"left\">shovel<\/td>\n<td align=\"left\">food<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">34<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">attr<\/td>\n<td align=\"right\">12.20185<\/td>\n<td align=\"left\">***<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">1338<\/td>\n<td align=\"left\">Unsweeten<\/td>\n<td align=\"left\">food<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">34<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">attr<\/td>\n<td align=\"right\">12.20185<\/td>\n<td align=\"left\">***<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">1476<\/td>\n<td align=\"left\">filling<\/td>\n<td align=\"left\">stuff<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">46<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">attr<\/td>\n<td align=\"right\">11.58948<\/td>\n<td align=\"left\">***<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">1518<\/td>\n<td align=\"left\">create<\/td>\n<td align=\"left\">cause<\/td>\n<td align=\"right\">13<\/td>\n<td align=\"right\">2<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">attr<\/td>\n<td align=\"right\">11.40296<\/td>\n<td align=\"left\">***<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">1519<\/td>\n<td align=\"left\">create<\/td>\n<td align=\"left\">committee<\/td>\n<td align=\"right\">13<\/td>\n<td align=\"right\">2<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">attr<\/td>\n<td align=\"right\">11.40296<\/td>\n<td align=\"left\">***<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">1520<\/td>\n<td align=\"left\">create<\/td>\n<td align=\"left\">condition<\/td>\n<td align=\"right\">13<\/td>\n<td align=\"right\">2<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">attr<\/td>\n<td align=\"right\">11.40296<\/td>\n<td align=\"left\">***<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">1784<\/td>\n<td align=\"left\">bake<\/td>\n<td align=\"left\">bread<\/td>\n<td align=\"right\">5<\/td>\n<td align=\"right\">7<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">attr<\/td>\n<td align=\"right\">10.48243<\/td>\n<td align=\"left\">**<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">1862<\/td>\n<td align=\"left\">roll<\/td>\n<td align=\"left\">tamale<\/td>\n<td align=\"right\">8<\/td>\n<td align=\"right\">5<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">attr<\/td>\n<td align=\"right\">10.19627<\/td>\n<td align=\"left\">**<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">2626<\/td>\n<td align=\"left\">record<\/td>\n<td align=\"left\">trip<\/td>\n<td align=\"right\">13<\/td>\n<td align=\"right\">8<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">attr<\/td>\n<td align=\"right\">8.15687<\/td>\n<td align=\"left\">**<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">3307<\/td>\n<td align=\"left\">record<\/td>\n<td align=\"left\">game<\/td>\n<td align=\"right\">13<\/td>\n<td align=\"right\">16<\/td>\n<td align=\"right\">1<\/td>\n<td align=\"right\">0<\/td>\n<td align=\"left\">attr<\/td>\n<td align=\"right\">6.71671<\/td>\n<td align=\"left\">**<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<figure>\n<img decoding=\"async\" src=\"https:\/\/ada-sub.dh-index.org\/blog\/wp-content\/uploads\/fig-04-sema-1-3.png\" alt=\"semasiological log.like of near synonymes to make\" \/><figcaption aria-hidden=\"true\">semasiological log.like of near synonymes to make<\/figcaption><\/figure>\n<hr \/>\n<h1 id=\"2085-b-references\">2 B: references <a class=\"backtop\" href=\"#2085-top-1\">\u21ea<\/a><\/h1>\n<div id=\"refs\" class=\"references csl-bib-body hanging-indent\" markdown=\"1\">\n<div id=\"ref-gilquin_what_2008\" class=\"csl-entry\" markdown=\"1\">\n<p>Gilquin, Ga\u00ebtanelle. 2008. \u201cWhat You Think Ain\u2019t What You Get: Highly Polysemous Verbs in Mind and Language.\u201d <a href=\"https:\/\/dial.uclouvain.be\/pr\/boreal\/object\/boreal:75833\">https:\/\/dial.uclouvain.be\/pr\/boreal\/object\/boreal:75833<\/a>.<\/p>\n<\/div>\n<div id=\"ref-mehl_what_2021\" class=\"csl-entry\" markdown=\"1\">\n<p>Mehl, Seth. 2021. \u201cWhat We Talk about When We Talk about Corpus Frequency: The Example of Polysemous Verbs with Light and Concrete Senses.\u201d <em>Corpus Linguistics and Linguistic Theory<\/em> 17 (1): 223\u201347. <a href=\"https:\/\/doi.org\/10.1515\/cllt-2017-0039\">https:\/\/doi.org\/10.1515\/cllt-2017-0039<\/a>.<\/p>\n<\/div>\n<div id=\"ref-ucsb_santa_2005\" class=\"csl-entry\" markdown=\"1\">\n<p>UCSB, John W. DuBois, L. Chafe Wallace, Charles Meyer, Sandra A. Thompson, Robert Englebretson, and Nii Martey. 2005. \u201cSanta Barbara Corpus of Spoken American English Department of Linguistics &#8211; UC Santa Barbara.\u201d <em>SBC<\/em>. <a href=\"https:\/\/www.linguistics.ucsb.edu\/research\/santa-barbara-corpus\">https:\/\/www.linguistics.ucsb.edu\/research\/santa-barbara-corpus<\/a>.<\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>1 term paper draft 1.1 init 1.2 method 1.2.1 corpus sample 1.2.2 script used: 1.2.3 process: 2 B: references 1 term paper draft topic #6, polysemous verbs with light and concrete senses, replication study of Mehl (2021), further used Gilquin (2008) meta.snc.rmd&gt;md&gt;wp&gt;pkg&gt;toc 1.1 init \u21ea \u201cIf onomasiological frequency measurements do indeed correlate with elicitation tests, &hellip; <a href=\"https:\/\/ada-sub.dh-index.org\/blog\/14033-corpus-ha-2\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;14033.corpusLX.HA&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_lmt_disableupdate":"","_lmt_disable":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[55,18,19],"tags":[87,70,92,71,86],"class_list":["post-2085","post","type-post","status-publish","format-standard","hentry","category-rr","category-things-i-learned-at-school","category-work","tag-chk2","tag-corpuslx","tag-img","tag-sbc","tag-spund"],"acf":[],"modified_by":null,"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/ada-sub.dh-index.org\/blog\/wp-json\/wp\/v2\/posts\/2085","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ada-sub.dh-index.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ada-sub.dh-index.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ada-sub.dh-index.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ada-sub.dh-index.org\/blog\/wp-json\/wp\/v2\/comments?post=2085"}],"version-history":[{"count":30,"href":"https:\/\/ada-sub.dh-index.org\/blog\/wp-json\/wp\/v2\/posts\/2085\/revisions"}],"predecessor-version":[{"id":2225,"href":"https:\/\/ada-sub.dh-index.org\/blog\/wp-json\/wp\/v2\/posts\/2085\/revisions\/2225"}],"wp:attachment":[{"href":"https:\/\/ada-sub.dh-index.org\/blog\/wp-json\/wp\/v2\/media?parent=2085"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ada-sub.dh-index.org\/blog\/wp-json\/wp\/v2\/categories?post=2085"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ada-sub.dh-index.org\/blog\/wp-json\/wp\/v2\/tags?post=2085"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}