Paper ID: 2210.15234

Creating a morphological and syntactic tagged corpus for the Uzbek language

Maksud Sharipov, Jamolbek Mattiev, Jasur Sobirov, Rustam Baltayev

Nowadays, creation of the tagged corpora is becoming one of the most important tasks of Natural Language Processing (NLP). There are not enough tagged corpora to build machine learning models for the low-resource Uzbek language. In this paper, we tried to fill that gap by developing a novel Part Of Speech (POS) and syntactic tagset for creating the syntactic and morphologically tagged corpus of the Uzbek language. This work also includes detailed description and presentation of a web-based application to work on a tagging as well. Based on the developed annotation tool and the software, we share our experience results of the first stage of the tagged corpus creation

Submitted: Oct 27, 2022