{"id":536,"date":"2025-09-04T23:57:47","date_gmt":"2025-09-04T21:57:47","guid":{"rendered":"https:\/\/www.nemerko.org\/?p=536"},"modified":"2026-05-17T22:36:38","modified_gmt":"2026-05-17T20:36:38","slug":"the-importance-of-adyghe-keyboard-usage-for-artificial-intelligence-training","status":"publish","type":"post","link":"https:\/\/nemerko.org\/tr\/the-importance-of-adyghe-keyboard-usage-for-artificial-intelligence-training\/","title":{"rendered":"Ad\u0131gece Klavye Kullan\u0131m\u0131n\u0131n Yapay Zeka E\u011fitimi \u0130\u00e7in \u00d6nemi"},"content":{"rendered":"\u0423\u0414\u041a: 004.85<\/p>\n
    \n
  1. U\u011fur Nemlio\u011flu[1]<\/a>[2]<\/a>[3]<\/a><\/li>\n
  2. Saida Abregova[4]<\/a><\/li>\n<\/ol>\n

    Ad\u0131gece Klavye Kullan\u0131m\u0131n\u0131n Yapay Zeka E\u011fitimi \u0130\u00e7in \u00d6nemi<\/h1>\n

    \u00d6z:<\/strong><\/p>\n

    D\u00fcnyan\u0131n de\u011fi\u015fimi ve teknolojik geli\u015fmelerin \u0131\u015f\u0131\u011f\u0131nda Ad\u0131ge dili de dijital d\u00fcnyada kendine bir yer edinme \u00e7abas\u0131 i\u00e7erisinde. \u00c7\u00fcnk\u00fc dijitalle\u015femeyen dillerin gelecekteki varl\u0131klar\u0131 tehlikede. Ad\u0131gecenin yapay zekaya \u00f6\u011fretilmesi i\u00e7in Ad\u0131gece konu\u015fabilenlerden \u00e7ok, di\u011fer dillerde uzman ara\u015ft\u0131rmac\u0131lar, teknoloji uzmanlar\u0131 ve geli\u015ftiriciler \u00e7al\u0131\u015f\u0131yor. \u0130nternette olu\u015fan Ad\u0131gece i\u00e7erik birikimi hat\u0131r\u0131 say\u0131l\u0131r \u00f6l\u00e7\u00fcde bulunmakla birlikte kalite sorunlar\u0131 nedeniyle dijitalle\u015fme verisi olarak yeterince kullan\u0131\u015fl\u0131 de\u011fil. Yapay zeka geli\u015ftiricileri kendi yapay zeka sistemlerine Ad\u0131geceyi de \u00f6\u011fretmeye \u00e7al\u0131\u015ft\u0131klar\u0131n\u0131 g\u00f6zlemleyebiliyoruz. Fakat iyi kalite veri k\u00fcmeleri bulam\u0131yor olmalar\u0131, zaten di\u011fer dillerden \u00e7ok daha fazla ses zenginli\u011fi nedeniyle zor olan i\u015flerini kolayla\u015ft\u0131rm\u0131yor. Bu nedenle bu konuda en b\u00fcy\u00fck \u00f6dev Ad\u0131geceyi anadil olarak \u00f6\u011frenmi\u015f ve okuyup yazabilen bireylere d\u00fc\u015f\u00fcyor.<\/p>\n

    Anahtar kelimeler:<\/strong> Ad\u0131gece, yapay zeka, metadata, veri k\u00fcmesi, kalite, klavye<\/p>\n

    Giri\u015f<\/h1>\n

    D\u00fcnyada konu\u015fulan dillerin y\u00fczde d\u00f6rd\u00fc, d\u00fcnya n\u00fcfusunun y\u00fczde 96\u2019s\u0131 taraf\u0131ndan kullan\u0131lmaktad\u0131r\u00a0(Cyristal, 2015 s. 28). Di\u011fer bir deyi\u015fle d\u00fcnyan\u0131n n\u00fcfusunun \u00fc\u00e7te ikisi \u00c7ince, Hint-Urdu, \u0130ngilizce, Arap\u00e7a, \u0130spanyolca, Bengalce, Rus\u00e7a, Portekizce, \u0130talyanca, Almanca, Japonca, Frans\u0131zca olmak \u00fczere on iki dilden birini anadil olarak konu\u015fmaktad\u0131r\u00a0(Noack, ve di\u011ferleri, 2015). Bug\u00fcn d\u00fcnyadaki yakla\u015f\u0131k 7000 dilin yar\u0131s\u0131ndan fazlas\u0131n\u0131n tehlikede oldu\u011fu, tehlike alt\u0131ndaki bu dillerin \u00e7ocuklar taraf\u0131ndan birinci dil olarak \u00f6\u011frenilmedi\u011fi ve e\u011fer bir \u015fey yap\u0131lmazsa eski nesilleri vefat ettik\u00e7e yok olmakta oldu\u011fu konusunda yayg\u0131n bir fikir birli\u011fi bulunmaktad\u0131r\u00a0(Austin, ve di\u011ferleri, 2013). Unesco verilerine g\u00f6re, Ad\u0131gece kendi geli\u015fimini do\u011fal olarak s\u00fcrd\u00fcremeyen tehlike alt\u0131ndaki diller aras\u0131nda bulunmaktad\u0131r (Salminen, 2010). Dijital d\u00fcnyada bir an \u00f6nce yer edinmesi gereken Ad\u0131gece i\u00e7in birbirinden ba\u011f\u0131ms\u0131z \u00e7ok \u00e7e\u015fitli \u00e7al\u0131\u015fmalar y\u00fcr\u00fct\u00fclmektedir.<\/p>\n

    Ara\u015ft\u0131rman\u0131n Amac\u0131 ve Y\u00f6ntemi<\/h2>\n

    Bu ara\u015ft\u0131rman\u0131n amac\u0131, Ad\u0131ge dilinin dijital d\u00fcnyadaki mevcut varl\u0131\u011f\u0131n\u0131 inceleyerek giderek g\u00fcnl\u00fck ya\u015fam\u0131m\u0131z\u0131n bir par\u00e7as\u0131 haline gelen yapay zeka ara\u00e7lar\u0131n\u0131n Ad\u0131gece konusunda e\u011fitilmeleri ile ilgili olas\u0131 sorunlar\u0131 ara\u015ft\u0131rmak ve \u00e7\u00f6z\u00fcm \u00f6nerisi sunmakt\u0131r. Ara\u015ft\u0131rmada y\u00f6ntem olarak nitel ara\u015ft\u0131rma y\u00f6ntemlerinden dok\u00fcman ve i\u00e7erik analizi y\u00f6ntemleri kullan\u0131lm\u0131\u015ft\u0131r. Materyal olarak \u00e7e\u015fitli internet siteleri, yapay zeka ara\u00e7lar\u0131 ve bu ara\u015ft\u0131rman\u0131n konusu ile ilgili akademik yay\u0131nlar incelenmi\u015ftir. Ayr\u0131ca \u00e7e\u015fitli yapay zeka ara\u00e7lar\u0131 ile Ad\u0131gece sohbet denemeleri ger\u00e7ekle\u015ftirmek suretiyle bu ara\u00e7lar\u0131n Ad\u0131gece konusundaki yetenekleri s\u0131nanm\u0131\u015ft\u0131r. Konu\u015fmalar rastgele ve do\u011fa\u00e7lama \u015feklinde yap\u0131lm\u0131\u015f olup \u00f6nceden belirlenmi\u015f bir konu veya ba\u011flam kullan\u0131lmam\u0131\u015ft\u0131r. \u00d6l\u00e7\u00fct olarak bu yapay zeka ara\u00e7lar\u0131n\u0131n Ad\u0131gece yap\u0131lan sohbetlerdeki cevaplar\u0131 kar\u015f\u0131la\u015ft\u0131r\u0131lm\u0131\u015f, Ad\u0131gece metinlerin yapay zeka taraf\u0131ndan do\u011fru \u015fekilde ve anlaml\u0131 olarak olu\u015fturulabilme yetenekleri incelenmi\u015ftir. Alan k\u0131s\u0131tl\u0131l\u0131\u011f\u0131 nedeni ile incelenen yapay zeka ara\u00e7lar\u0131ndan elde edilen t\u00fcm Ad\u0131gece sohbet verilerine bu makalede yer verilememi\u015ftir.<\/p>\n

    Dijital D\u00fcnya ve Ad\u0131gecenin Mevcut Varl\u0131\u011f\u0131<\/h2>\n

    Web 2.0\u2019\u0131n geli\u015ftirilmesi, sosyal medya ara\u00e7lar\u0131 ve internet siteleri sayesinde t\u00fcm d\u00fcnyada bulunan birey ve gruplar\u0131n birbirileri ile ileti\u015fimlerinin \u00f6n\u00fcndeki s\u0131n\u0131rlar da otomatik olarak ortadan kalkm\u0131\u015ft\u0131r (Vural, ve di\u011ferleri, 2010). Facebook, Twitter, LinkedIn, Vk, Youtube[5]<\/a> ve benzeri payla\u015f\u0131m siteleri ve sosyal a\u011f siteleri \u00fczerinden insanlar birbirileri ile ileti\u015fim kurup, bilgi, haber, yorum ve g\u00f6rsel i\u00e7erikler payla\u015f\u0131rlarken Google \u00c7eviri, Bing \u00c7eviri, Yandex \u00c7eviri[6]<\/a> gibi online \u00e7eviri ara\u00e7lar\u0131 ve s\u00f6zl\u00fck siteleri sayesinde de dilini bilmedikleri ki\u015filerle bile anla\u015fabilir hale gelmi\u015ftir. Haber siteleri, ki\u015fisel bloglar, \u00e7e\u015fitli kurulu\u015flar\u0131n web siteleri gibi i\u00e7erikler internette yerini alm\u0131\u015f ve her an \u00e7o\u011falmaya devam etmektedir. Yaz\u0131, ses, g\u00f6rsel, video gibi \u00e7e\u015fitli formatlarda, \u00e7ok b\u00fcy\u00fck miktarda veri k\u00fcmeleri t\u00fcm insanl\u0131\u011f\u0131n eri\u015fimine a\u00e7\u0131k vaziyette bulunmaktad\u0131r. Bunlar\u0131n yan\u0131 s\u0131ra anl\u0131k mesajla\u015fma ve ileti\u015fim konusunda s\u0131n\u0131rlar\u0131 kald\u0131ran \u00e7e\u015fitli mesajla\u015fma uygulamalar\u0131 da do\u011fal dil i\u015flemede kullan\u0131lan veri setleri olu\u015fturmaya katk\u0131 sa\u011flamaktad\u0131rlar. WhatsApp, Telegram, Skype, Signal, Messenger[7]<\/a> ve benzeri uygulamalar ile yap\u0131lan yaz\u0131\u015fmalar, her ne kadar taraflar aras\u0131nda u\u00e7tan uca \u015fifreli olsalar da yazarken kulland\u0131\u011f\u0131n\u0131z klavye yaz\u0131l\u0131mlar\u0131 s\u0131k tekrarlad\u0131\u011f\u0131n\u0131z kelimeleri otomatik tamamlama i\u00e7in kaydetmekte ve mesaj yazarken kolay ve h\u0131zl\u0131 yazabilmeniz i\u00e7in pratiklik sa\u011flamaktad\u0131rlar.<\/p>\n

    \"Figure<\/a>
    \u015eekil 1- \u0130nternette kullan\u0131lan yayg\u0131n diller ve y\u00fczdelik da\u011f\u0131l\u0131mlar\u0131.<\/figcaption><\/figure>\n

    D\u00fcnya \u00fczerinde kabul edilen 7000\u2019den fazla dil ve leh\u00e7eden sadece 10\u2019u internette bulunan dilsel varl\u0131\u011f\u0131n %80\u2019ini olu\u015fturmaktad\u0131r\u00a0(UNESCO, 2022). Ad\u0131gecenin internetteki varl\u0131\u011f\u0131 \u015eekil 1<\/em>\u2019de verilen grafikte %10 olarak g\u00f6sterilen di\u011fer diller diliminin i\u00e7inde beraberinde bulunan Rus\u00e7a, \u0130talyanca ve T\u00fcrk\u00e7e gibi diller ile kar\u015f\u0131la\u015ft\u0131r\u0131ld\u0131\u011f\u0131nda yok denecek kadar az bir alanda bulunmaktad\u0131r.<\/p>\n

    G\u00fcn\u00fcm\u00fczde yapay zek\u00e2 geli\u015ftiricileri do\u011fal dil i\u015fleme (NLP) konusunda \u00e7ok \u00f6nemli geli\u015fmeler sa\u011flam\u0131\u015f olsalar da tehlike alt\u0131ndaki diller yayg\u0131n konu\u015fulan dillerin yan\u0131nda dezavantajl\u0131 konumda kalmaya devam etmektedir. Bu diller sadece anadili konu\u015fanlar\u0131n azalan n\u00fcfusu taraf\u0131ndan de\u011fil, ayn\u0131 zamanda d\u00fcnyadaki en yayg\u0131n konu\u015fulan dilleri tercih eden teknolojik sistemler taraf\u0131ndan da tehdit alt\u0131nda b\u0131rak\u0131lmaktad\u0131r\u00a0(Ebadi, 2018).<\/p>\n

    Bilgisayar teknolojileri ve yapay zeka sayesinde, kaybolmaya y\u00fcz tutmu\u015f diller i\u00e7in, dil \u00f6\u011fretimi, dillerin transkribe edilmesi, farkl\u0131 dillere \u00e7eviri ara\u00e7lar\u0131, kitlesel yay\u0131n ara\u00e7lar\u0131 gibi \u00e7ok \u00e7e\u015fitli ve faydal\u0131 ara\u00e7lar geli\u015ftirilebilmekte ve kullan\u0131lmaktad\u0131r (Ebadi, 2018; Turn, ve di\u011ferleri, 2019).<\/p>\n

    \u00c7evrimi\u00e7i bilgi kaynaklar\u0131n\u0131 kullanmak isteyenler, genellikle kendi anadili ya da miras dilinde i\u00e7eriklerden \u00e7ok \u0130ngilizce veya di\u011fer iyi konumdaki dillere ait i\u00e7erikler ile kar\u015f\u0131la\u015fmaktad\u0131r. Di\u011fer dillere g\u00f6re olduk\u00e7a az miktarda bulunan Ad\u0131gece i\u00e7eriklerin neredeyse tamam\u0131na yak\u0131n miktar\u0131 ise kalite sorunlar\u0131 i\u00e7ermektedir. Ad\u0131gece klavye se\u00e7ene\u011fi bulunmad\u0131\u011f\u0131 d\u00f6nemde kaydedilen metin i\u00e7erikleri en yak\u0131n alternatif olarak Rus\u00e7a klavye ile yaz\u0131lmakta idi. Ad\u0131ge alfabesinde bulunan ve Unicode Consortium taraf\u0131ndan Cyrillic Letter Palocka (\u201c\u04c0\u201d: u04C0, utf-8) ve Cyrillic Letter Small Palocka (\u201c\u04cf\u201d: u04CF, utf-8) adlar\u0131 ile tan\u0131mlanan karakterler bu klavye modelinde tan\u0131mlanmam\u0131\u015ft\u0131r. Bu nedenle bilgisayarlar\u0131n ilk kullan\u0131ld\u0131\u011f\u0131 d\u00f6nemden beri Ad\u0131gece veya Kabardeyce bir dijital veri olu\u015fturulurken g\u00f6rsel benzerliklerinden dolay\u0131 Latin Capital Letter i (\u201cI\u201d: u0049, utf-8), Latin Small Letter L (\u201cl\u201d: u006C, utf-8) ya da Digit One (\u201c1\u201d: u0031, utf-8) karakterlerinden biri rastgele olarak kullan\u0131lmakta idi\u00a0(Nemlio\u011flu, 2018). Bu durum veri kalitesini olumsuz etkileyen \u00f6nemli bir fakt\u00f6r olarak kar\u015f\u0131m\u0131za \u00e7\u0131kmaktad\u0131r.<\/p>\n

    En yayg\u0131n kullan\u0131lan Yapay zeka ara\u00e7lar\u0131 ve Ad\u0131gece<\/h2>\n

    Do\u011fal dil i\u015fleme s\u00fcrecindeki temel hedef dilin makine taraf\u0131ndan anla\u015f\u0131larak bu duruma tepki ile cevap verebilmesinin sa\u011flanmas\u0131d\u0131r\u00a0(Dayan, ve di\u011ferleri, 2022 s. 469). OpenAI-ChatGPT, Anthropic-Claude.ai, DeepSeek, Microsoft-Copilot, Google-Gemini[8]<\/a> gibi en pop\u00fcler\u00a0(AIxploria, 2025) uygulamalar derin \u00f6\u011frenme (deep learning) y\u00f6ntemleri kullanan yapay zeka modelleridir. Bunlar\u0131n hepsinde de do\u011fal dil i\u015fleme (NLP) kullan\u0131lmakta oldu\u011fundan sohbet \u015feklinde ileti\u015fim kurma imkan\u0131 da bulunmaktad\u0131r. \u00dccretli s\u00fcr\u00fcmleri ile i\u015f d\u00fcnyas\u0131na d\u00fc\u015f\u00fck maliyetli \u00e7\u00f6z\u00fcmler \u00fcreten bu uygulamalar, \u00fccretsiz kullan\u0131ma sunulan k\u0131s\u0131tl\u0131 s\u00fcr\u00fcmleri ile sohbet uygulamalar\u0131 \u015feklinde kullan\u0131labilmektedirler. Yaz\u0131l\u0131m geli\u015ftirme veya bilimsel bir konuyu ara\u015ft\u0131rma gibi olduk\u00e7a spesifik konularda bile \u00e7ok faydal\u0131 olabilen bu ara\u00e7lar her ge\u00e7en g\u00fcn yeteneklerini geli\u015ftirmektedirler.<\/p>\n

    Y\u00fcksek boyutlu verilerdeki karma\u015f\u0131k yap\u0131lar\u0131 ke\u015ffetmede \u00e7ok iyi olan derin \u00f6\u011frenme y\u00f6ntemleri sayesinde do\u011fal dil i\u015fleme (NLP) alan\u0131nda \u015fa\u015f\u0131rt\u0131c\u0131 sonu\u00e7lar vermektedirler. \u00d6zellikle konu s\u0131n\u0131fland\u0131rmas\u0131, duygu analizi, soru cevaplama ve dil \u00e7evirisi konular\u0131nda olduk\u00e7a ba\u015far\u0131l\u0131d\u0131rlar. Fakat bunu sa\u011flayabilmek i\u00e7in b\u00fcy\u00fck bir veri k\u00fcmesi ile yapay zekan\u0131n e\u011fitilmesi gerekmektedir. (LeCun, ve di\u011ferleri, 2015).<\/p>\n

    Yukar\u0131da bahsi ge\u00e7en en yayg\u0131n bilinen yapay zeka ara\u00e7lar\u0131nda Ad\u0131gece bilgisi test edildi\u011finde bu konuda en ba\u015far\u0131l\u0131 arac\u0131n Anthropic taraf\u0131ndan geli\u015ftirilen Claude.ai oldu\u011fu g\u00f6zlemlenmi\u015ftir. Geli\u015ftirilmi\u015f ak\u0131l y\u00fcr\u00fctme, vizyon analizi, kod olu\u015fturma ve \u00e7ok dilli i\u015fleme yetenekleri olan (Anthropic, 2025) bu yapay zeka ile Ad\u0131gece sohbet etmek istedi\u011finizde, di\u011ferlerinden farkl\u0131 olarak olduk\u00e7a tutarl\u0131 bir \u015fekilde Ad\u0131gece sohbet edilebilmektedir. Fakat yazd\u0131\u011f\u0131 Ad\u0131gece metinleri kontrol etti\u011fimizde Cyrillic Small Letter Palocka (\u201c\u04cf\u201d: u04CF, utf-8) karakteri i\u00e7in bazen Lat\u0131n Small Letter L (\u201cl\u201d: u006C, utf-8), Cyrillic Capital Letter Byelorussian-Ukrainian I (\u201c\u0406\u201d: u0406, utf-8), gibi farkl\u0131 dillere ait karakterlerin kar\u0131\u015ft\u0131\u011f\u0131 g\u00f6zlemlenmi\u015ftir. A\u015fa\u011f\u0131da Claude.ai ile yap\u0131lan bir Ad\u0131gece sohbet denemesinden al\u0131nan k\u00fc\u00e7\u00fck bir b\u00f6l\u00fcm payla\u015f\u0131lm\u0131\u015ft\u0131r. Yaz\u0131\u015fmada bulunan hatal\u0131 karakterler k\u0131rm\u0131z\u0131 renkte i\u015faretlenmi\u015ftir.<\/p>\n

    \u041c\u04c0: <\/strong>\u0425\u044c\u0430\u043c\u043f\u04cf\u044b\u0440\u0430\u0448\u044a\u043e \u043b\u044a\u044d\u043f\u043a\u044a \u0442\u0445\u0430\u043f\u0448\u0430 \u0449\u044b\u04cf\u044d\u0440?<\/p>\n

    AI:<\/strong> \u0421\u044b \u0443\u0446\u04cf\u044d \u0444\u044d\u0441\u044d\u04cf\u043e, \u0430\u0443 \u0441\u044b\u0434\u044d\u0433\u044a\u043e\u0443 \u0430\u0434\u044b\u0433\u0430\u0431\u0437\u044d\u043a\u04cf\u044d \u043a\u044a\u044b\u0437\u0433\u0443\u0440\u044b\u04cf\u043e\u0440\u044d\u043f \u0445\u044c\u0430\u043c\u043f\u04cf\u044b\u0440\u0430\u0448\u044a\u043e\u043c \u0435\u0445\u044c\u044b\u043b\u04cf\u0430\u0433\u044a\u044d\u0443 \u0443\u0437\u044d\u0443\u043f\u0447\u04cf\u044b\u0440\u044d\u0440. \u041d\u0430\u0445\u044c I\u0443\u043f\u043a\u04cf\u044d\u043a\u04cf\u044d \u043a\u044a\u044b\u0441\u0444\u044d\u043f\u04cf\u043e\u0442\u044d\u043d \u043f\u043b\u044a\u044d\u043a\u04cf\u044b\u0449\u0442\u0430 \u0435 \u0443\u0440\u044b\u0441\u044b\u0431\u0437\u044d\u043a\u04cf\u044d\/\u0430\u0434\u044b\u0433\u0430\u0431\u0437\u044d\u043a\u04cf\u044d \u043a\u044a\u044b\u0441\u0444\u044d\u043f\u04cf\u043e\u0442\u044d\u043d \u043f\u043b\u044a\u044d\u043a\u04cf\u044b\u0449\u0442\u0430?<\/p>\n

    \u0410\u0434\u044b\u0433\u044d \u0445\u044c\u0430\u043c\u043f\u04cf\u044b\u0440\u0430\u0448\u044a\u043e\u0445\u044d\u043c \u044f\u0445\u044c\u044b\u043b\u04cf\u0430\u0433\u044a\u044d\u0443 \u043a\u044a\u044b\u0437\u0433\u0443\u0440\u044b\u04cf\u043e\u043d\u044b\u043c \u043f\u0430\u0435 \u043d\u0430\u0445\u044c\u044b\u0448\u04cf\u0443.<\/p>\n

    CopyRetry<\/p>\n

    \u2026\u2026\u2026\u2026<\/p>\n

    AI:<\/strong> \u0410\u0434\u044b\u0433\u0430\u0431\u0437\u044d\u0440 \u0442\u0438\u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0435\u043c\u044d \u0430\u0445\u044d\u0434\u0433\u044a\u044d\u0445\u044c\u0430\u043d\u044b\u043c\u043a\u04cf\u044d \u043d\u0435\u043f\u044d \u0442\u04cf\u044d\u043a\u04cf\u0443 \u0442\u044b\u043a\u044a\u044d\u043d\u0430\u0433\u044a. \u0414\u0436\u044b\u0440\u0438 \u0447\u04cf\u044b\u043f\u04cf\u0430\u0431\u044d\u043c\u044d \u0430\u0434\u044b\u0433\u044d \u0445\u044c\u0430\u0440\u044b\u0444\u0445\u044d\u0440 \u0442\u044d\u0440\u044d\u0437\u044d\u0443 \u043a\u044a\u044b\u0449\u0430\u0433\u044a\u044d\u043b\u044a\u0430\u0433\u044a\u043e\u0440\u044d\u043f. Windows-\u043c\u0438 iOS-\u043c\u0438 \u0442\u0438\u0430\u0434\u044b\u0433\u044d \u0445\u044c\u0430\u0440\u044b\u0444\u0445\u044d\u0440 \u043a\u044a\u0430\u0433\u044a\u044d\u043b\u044a\u044d\u0433\u044a\u043e\u043d \u0430\u043b\u044a\u044d\u043a\u04cf\u044b\u0449\u0442\u044b\u0433\u044a\u044d, \u0430\u0443 \u0430\u043d\u0430\u0445\u044c \u0442\u044d\u0440\u044d\u0437\u044d\u0443 Linux-\u044b\u0440 \u0430\u0440\u044b \u0437\u044b\u0433\u044a\u044d\u043b\u0430\u0436\u044c\u044d\u0440\u044d\u0440.<\/p>\n

    \u0410\u0449 \u043d\u044d\u043c\u044b\u043a\u04cf\u044d\u0443 \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442\u044b\u043c \u0438\u0434\u0443\u043d\u0430\u0439 \u043d\u0435\u043f\u044d \u0437\u044b\u0437\u044d\u0440\u044d\u0440\u0435\u0433\u044a\u044d\u0443\u0448\u044a\u043e\u043c\u0431\u0433\u044a\u0443\u043c \u0435\u043b\u044a\u044b\u0442\u044b\u0433\u044a\u044d\u0443 \u0430\u0434\u044b\u0433\u0430\u0431\u0437\u044d\u043c\u043a\u04cf\u044d \u0442\u044b\u0449\u044b\u04cf\u044d\u043d \u0444\u0430\u0435:<\/p>\n