NERGA OID METODOLOGIK YONDOSHUVLAR TAHLILI
Keywords:
qoidalarga asoslangan yondashuvlar, o‘rganishga asoslangan yondashuvlar, gibrid yondashuvlar, mashina ta’limi (ML), ontologiya, chuqur o‘rganish (Deep Learning), tokenizatsiya, shartli tasodifiy maydonlar, modellashtirish.Abstract
Mazkur maqolada tabiiy tilni qayta ishlash (NLP) sohasining muhim yo‘nalishlaridan biri bo‘lgan nomlovchi birliklarni aniqlash (NER) masalasiga oid metodologik yondoshuvlar chuqur tahlil qilinadi. Jumladan, qoidaga asoslangan, statistik, mashina ta’limi, chuqur o‘rganishga asoslangan va gibrid yondashuvlar o‘rtasidagi farqlar, afzalliklar hamda kamchiliklar ko‘rib chiqiladi. NERga oid metodologik yondashuvlarning qiyosiy tahlili, ularning tilga xos xususiyatlarga moslashuvchanligi, o‘rganish strategiyalari, aniqlik va samaradorlik ko‘rsatkichlari xususida so‘z boradi.
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