NER: TEGLASH MUOMMOLARI
Keywords:
NER, NLP, proper noun, named entity, identification, classification, tag.Abstract
In the field of Natural Language Processing (NLP), Named Entity Recognition (NER) is one of the important and complex areas of linguistics and computer science. NER generally refers to the process of identifying and tagging proper names, location names, organization names, time expressions, and other specific terms in a text. Developing and effectively applying NER systems for a morphologically rich and syntactically free language like Uzbek presents unique challenges. This article discusses the problems, opportunities, and solutions related to NER tagging in the Uzbek language.
References
1. Xusainova L. Atoqli otlarning leksik-grammatik guruhlari. Magistrlik dissertatsiyasi. Urganch. 2017. 13b
2. Simon, Eszter. 2013. Approaches to Hungarian Named Entity Recognition. PhD. Thesis. P-12.http://www.cogsci.bme. hu/~ktkuser/PHD_iskola/dissertations/20131011_Simon_Eszter/ertekezes.pdf
3. Samatboyeva M. 2022. Matnlarda NER obyektlarini aniqlashdagi muammolar. O‘zbekiston: til va madaniyat. Amaliy filologiya. 2 (5): 110-118.]
4. Yodgorov U. Korpus matnlarini teglash muammolari. Kompyuter lingvistikasi: muammolar, yechim, istiqbollar xalqaro ilmiy-amaliy konferensiya to‘plami. Vol. 1 №. 01 (2024). 147-154.
5. Elov B, Hamroyeva Sh, Abdullayeva O, Uzoqova M. O‘zbek tilida pos tegging masalasi: muammo va takliflar. O‘zbekiston: til va madaniyat. Amaliy filologiya. 2 (5): 51-68.