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“DEEP LEARNING” YORDAMIDA BRAYL YOZUVIDAGI MATNLARNI TANIB OLISHNING USULLARI

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MAQOLA ANNOTATSIYASI

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Кўриш имконияти чекланган ва кўзи ожиз инсонлар жуда кўп қийинчиликларга дуч келишади. Мазкур тадқиқот бундай инсонларга мустақил равишда матнларни мутолаа қилиши ва ҳаётидаги турли муаммоларни бартараф этиш, шунингдек, сун’ий интеллект ёрдамида ўзлари хоҳлаган адабиёт ва турли хабарлар матнларини бошқаларга қарам бўлмасдан ўқий олиши ва тушунишларига ёрдам беради. Брайл алифбоси кўзи ожиз ва кўриш қобилияти заиф инсонлар ўртасидаги ёзма ма’лумот алмашишнинг энг самарали воситаси ҳисобланади. Брайл алифбоси бўлмаган фойдаланувчилар учун Брайл ҳужжатларининг таржимаси кўриш қобилияти заиф ва кўриш қобилияти паст инсонлар ўртасидаги ёзма мулоқот учун асосдир. Кўзи ожиз инсонлар бу кодларни тушунмайди ва уларнинг Брайл кодини тушунишга бўлган эҳтиёжи бутун дунё бўйлаб турли тилларда Оптик Брайлни таниш (ОБТ)нинг ривожланишига олиб келди. ОБТ ҳозирда янги, синаб кўрилмаган ва кўп қадамли тадқиқотларни талаб қиладиган соҳадир. Таклиф этилган ОБР тизимини мувафф ақиятли амалга оширишдан мақсад – кўзи ожиз ва кўриш имконияти чекланган инсонлар ўртасидаги ўзбек тилида ёзма алоқа бўшлиғини камайтиришдан иборат. Ушбу мақолада Брайл алифбоси ёзма ҳужжатлардаги турли тиниш белгиларини таниб олиш учун ўзбек Брайл идентифи катори (ЎБИ) тизими тасвирланган.

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# classification# классификация# отображение# mapping# artificial intelligence# искусственный интеллект# яхлитлик# целостность# integrity# хариталаш# normalization# нормализация# сунʼий интеллект# шовқинни бостириш# хусусиятларни акс эттириш# таснифл аш# нормаллаштириш# “deep learning”# «глубокое обучение»# подавление шума# отображение признака# deep learning# noise suppression# feature mapping

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