{"id":9,"date":"2025-01-23T18:22:43","date_gmt":"2025-01-23T18:22:43","guid":{"rendered":"https:\/\/citelearn7.savecicadabuzz.org\/?page_id=9"},"modified":"2025-03-27T16:32:12","modified_gmt":"2025-03-27T16:32:12","slug":"call-is-white-space-tokenization-enough","status":"publish","type":"page","link":"https:\/\/citelearn7.savecicadabuzz.org\/index.php\/call-is-white-space-tokenization-enough\/","title":{"rendered":"CALL : Is white space tokenization enough?"},"content":{"rendered":"<h2>CALL &#8211; Is white space tokenization enough?<\/h2>\n<p>For the first example using the sentence, &#8220;I can&#8217;t believe how fast the time flew by during our weekend getaway.&#8221; The spaces seem efficient enough to tokenize English language text because the only tokenization that contained an issue was the word &#8220;can&#8217;t&#8221;. For can&#8217;t it had separated it by &#8220;ca&#8221; and &#8220;n&#8217;t&#8221;, which is not separated correctly as a whole word, but it does separate at the conjunction of the two words that make up the word can&#8217;t.&#8217;<\/p>\n<p>For the second example, we used the sentence, &#8220;I don&#8217;t know if I can handle the pressure of this last-minute decision.&#8221; For this sentence, the spaces also seemed efficient enough to tokenize English language text because again it separated the compound word at the conjunction of the two resulting in &#8220;do&#8221; and &#8220;n&#8217;t&#8221;. Moreover, the spaces did tokenize last-minute correctly as one word instead of separating the words.<\/p>\n<p>Finally, the last example we used was, &#8220;They&#8217;ve been working nonstop to finish the project on time.&#8221; This sentence also tokenized English language text efficiently because similar to the previous examples it separated &#8220;they&#8217;ve&#8221; by &#8220;they&#8221; and &#8220;&#8216;ve&#8221;. While also keeping nonstop as one word. Therefore, for all of the examples, we would say the spaces are pretty efficient in tokenizing English language text.\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>CALL &#8211; Is white space tokenization enough? For the first example using the sentence, &#8220;I can&#8217;t believe how fast the time flew by during our weekend getaway.&#8221; The spaces seem efficient enough to tokenize English language text because the only tokenization that contained an issue was the word &#8220;can&#8217;t&#8221;. For can&#8217;t it had separated it [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-9","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/citelearn7.savecicadabuzz.org\/index.php\/wp-json\/wp\/v2\/pages\/9","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/citelearn7.savecicadabuzz.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/citelearn7.savecicadabuzz.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/citelearn7.savecicadabuzz.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/citelearn7.savecicadabuzz.org\/index.php\/wp-json\/wp\/v2\/comments?post=9"}],"version-history":[{"count":6,"href":"https:\/\/citelearn7.savecicadabuzz.org\/index.php\/wp-json\/wp\/v2\/pages\/9\/revisions"}],"predecessor-version":[{"id":17,"href":"https:\/\/citelearn7.savecicadabuzz.org\/index.php\/wp-json\/wp\/v2\/pages\/9\/revisions\/17"}],"wp:attachment":[{"href":"https:\/\/citelearn7.savecicadabuzz.org\/index.php\/wp-json\/wp\/v2\/media?parent=9"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}