Year: 2024
Type: article
Abstract: The aim of this paper is to make suggestions for improving the Georgian National Corpus on the basis of selected linguistic processes. The Georgian National Corpus is currently the most developed and detailed corpus of the Georgian language. One of the reasons for this is the included annotation of the texts, the variety of text genres and the size of the corpus. While the morphosyntactic analysis of the texts is great, there is room for improvement for the semantic-pragmatic analysis, especially as far as the semantic-pragmatic analysis of functional elements is concerned. Many factors make this issue very interesting, such as grammaticalisation processes or the fundamental development of language. Implementing this type of analysis is essential, especially when it comes to adequate translations by machine translations. The paper contains an approach for analysing functional elements using the example of the particle xom.
Author: Mariam Kamarauli
Institution: Universität Hamburg
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405759290