Yapay zeka \u00e7evirisi, yerelle\u015ftirme s\u00fcre\u00e7lerini kolayla\u015ft\u0131rmak ve iyile\u015ftirmek isteyen \u015firketler i\u00e7in \u00e7ok etkili bir ara\u00e7 olarak \u00f6ne \u00e7\u0131k\u0131yor.<\/p>\n
\u0130STANBUL (\u0130GFA) \u2013\u00a0 <\/strong>\u00c7eviri ve yerelle\u015ftirme, benzer g\u00f6r\u00fcnseler de farkl\u0131 ama\u00e7lara hizmet eden iki farkl\u0131 unsur. S\u00f6zkonusu s\u00fcre\u00e7ler, birlikte \u00e7al\u0131\u015ft\u0131\u011f\u0131nda i\u015f d\u00fcnyas\u0131nda verimli sonu\u00e7lar elde ediliyor. Bu noktada yapay zeka \u00e7eviri arac\u0131 DeepL; yerelle\u015ftirme s\u00fcrecini kolayla\u015ft\u0131rmak ve h\u0131zland\u0131rmak i\u00e7in \u00f6nemli bir ara\u00e7 olarak kendini geli\u015ftiriyor.<\/p>\n \u00c7eviri, metnin bir dilden di\u011ferine aktar\u0131lmas\u0131 anlam\u0131na geliyor.<\/p>\n Yerelle\u015ftirmeyse \u00e7evirinin de \u00f6tesinde; aktar\u0131ld\u0131\u011f\u0131 dilin k\u00fclt\u00fcrel, dilbilgisel ve yap\u0131sal gereksinimlerine g\u00f6re uyarlanmas\u0131n\u0131 hedefleyen daha kapsaml\u0131 bir s\u00fcre\u00e7 olarak tan\u0131mlan\u0131yor. Burada \u00e7eviri sadece bir ad\u0131m olarak yer al\u0131yor. Devam\u0131nda aktar\u0131lan metnin yerel gereksinimlere uygun hale getirilmesi; o dilin ve k\u00fclt\u00fcr\u00fcn inceliklerini g\u00f6z \u00f6n\u00fcnde bulundurulmas\u0131 ve b\u00f6lgedeki insanlara hitap edecek \u015fekilde uyarlanmas\u0131 gerekiyor. \u00d6zetle \u00e7eviri, daha uzun ve karma\u015f\u0131k olan yerelle\u015ftirme s\u00fcrecinin ayr\u0131lmaz bir par\u00e7as\u0131d\u0131r ve iki kavram birlikte \u00e7ok iyi \u00e7al\u0131\u015f\u0131r. \u00d6zellikle de yapay zeka \u00e7evirisi kullan\u0131ld\u0131\u011f\u0131nda. \u00a0<\/p>\n Yapay zeka \u00e7evirisi an\u0131nda sonu\u00e7 veren otomatik bir makine \u00f6\u011frenimi s\u00fcrecidir. H\u0131zlar\u0131 ve do\u011fruluklar\u0131 sayesinde, yapay zeka \u00e7eviri ara\u00e7lar\u0131 yerelle\u015ftirme s\u00fcrecine \u00e7ok iyi uyum sa\u011flar ve hatta i\u015f ak\u0131\u015flar\u0131n\u0131 kolayla\u015ft\u0131rmak ve verimlili\u011fi art\u0131rmak i\u00e7in kullan\u0131labilir.<\/p>\n Ba\u011f\u0131ms\u0131z ara\u015ft\u0131rma \u015firketi CSA Research\u2019\u00fcn yay\u0131nlad\u0131\u011f\u0131 sonu\u00e7lara g\u00f6re online al\u0131\u015fveri\u015f yapanlar\u0131n y\u00fczde 76\u2019s\u0131, kendi ana dillerinde bilgi i\u00e7eren \u00fcr\u00fcnleri sat\u0131n almay\u0131 tercih ediyor.<\/p>\n Ayn\u0131 ara\u015ft\u0131rmaya g\u00f6re bu grubun y\u00fczde 75\u2019i de m\u00fc\u015fteri hizmetlerinin kendi dillerinde olmas\u0131n\u0131n tekrar al\u0131\u015fveri\u015f yapma olas\u0131l\u0131klar\u0131n\u0131 y\u00fckseltti\u011fi kaydedildi.<\/p>\n DeepL Kurucusu ve CEO\u2019su Jaroslaw Kutylowski, yapay zeka destekli yerelle\u015ftirme, \u015firketlerin k\u00fcresel ba\u015far\u0131s\u0131n\u0131 yeni bir boyuta ta\u015f\u0131mak i\u00e7in \u00f6nemli bir ad\u0131m olarak ortaya \u00e7\u0131kard\u0131\u011f\u0131n\u0131 belirterek, \u201cModern \u015firketler i\u00e7in planlanm\u0131\u015f ve uygulanm\u0131\u015f bir i\u015f stratejisi olan yerelle\u015ftirme, potansiyel kitleye uygun i\u00e7erik sunarak rekabet avantaj\u0131 elde etmelerini ve gelirlerini art\u0131rmalar\u0131n\u0131 sa\u011fl\u0131yor\u201d dedi.<\/p>\n","protected":false},"excerpt":{"rendered":" Yapay zeka \u00e7evirisi, yerelle\u015ftirme s\u00fcre\u00e7lerini kolayla\u015ft\u0131rmak ve iyile\u015ftirmek isteyen \u015firketler i\u00e7in \u00e7ok etkili bir ara\u00e7 olarak \u00f6ne \u00e7\u0131k\u0131yor. \u0130STANBUL (\u0130GFA) \u2013\u00a0 \u00c7eviri ve yerelle\u015ftirme, benzer g\u00f6r\u00fcnseler de farkl\u0131 ama\u00e7lara hizmet eden iki farkl\u0131 unsur. S\u00f6zkonusu s\u00fcre\u00e7ler, birlikte \u00e7al\u0131\u015ft\u0131\u011f\u0131nda i\u015f d\u00fcnyas\u0131nda verimli sonu\u00e7lar elde ediliyor. Bu noktada yapay zeka \u00e7eviri arac\u0131 DeepL; yerelle\u015ftirme s\u00fcrecini kolayla\u015ft\u0131rmak ve …<\/p>\n","protected":false},"author":1,"featured_media":51715,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-51714","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-genel"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/adanaseshaber.com.tr\/index.php?rest_route=\/wp\/v2\/posts\/51714","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/adanaseshaber.com.tr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/adanaseshaber.com.tr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/adanaseshaber.com.tr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/adanaseshaber.com.tr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=51714"}],"version-history":[{"count":1,"href":"https:\/\/adanaseshaber.com.tr\/index.php?rest_route=\/wp\/v2\/posts\/51714\/revisions"}],"predecessor-version":[{"id":51716,"href":"https:\/\/adanaseshaber.com.tr\/index.php?rest_route=\/wp\/v2\/posts\/51714\/revisions\/51716"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/adanaseshaber.com.tr\/index.php?rest_route=\/wp\/v2\/media\/51715"}],"wp:attachment":[{"href":"https:\/\/adanaseshaber.com.tr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=51714"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/adanaseshaber.com.tr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=51714"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/adanaseshaber.com.tr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=51714"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}