Creating a morphological and syntactic tagged corpus for the Uzbek language
This work addresses a gap in NLP resources for the Uzbek language, which is incremental as it applies existing tagging methods to a new language.
The authors tackled the lack of tagged corpora for the low-resource Uzbek language by developing a novel POS and syntactic tagset and a web-based annotation tool, resulting in the creation of a morphologically and syntactically tagged corpus.
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