In the work of Alisher Navoi, the genre of rubai, which is considered one of the most ancient and widespread genres of oriental poetry, occupies a large place. All the rubais in Navoi's works are rich and thoughtful, they encourage the reader to think and observe. In this article, the great thinker's prose and scientific writings are explained and shown with several examples of their deep philosophical knowledge.
Currently, in order to further improve the soil fertility in the planting of agricultural crops, the introduction of various tillage methods in agrotechnics, the effective use of mineral fertilizers in the growth of cotton, and certain results are being achieved. Cotton and grain are mainly planted, according to the scientific research of our scientists, only as a result of using the cotton-grain rotation system, a slight decrease in the agrochemical properties of the soil is observed. Planting alfalfa, legumes, vegetables, fodder and other soil fertility-improving crops on areas freed from grain is studied to have a positive effect on the next crops.
This article examines the main aspects of world geopolitics that influenced the development of Islamic civilization. Key factors are analyzed, including socio-political relations, religious issues, and universal benefits. The history of relations between regions, how much they have in common and how often in the past one had a beneficial effect on the other.
In modern Uzbek poetry, people who work with water: waterman, fisherman, diver; aquatic animals: fish, snakes, beavers, ducks, geese, swans; waterrelated trees and flowers, plants: willow, lily, seaweed; water containers: jugs, bowls, bowls, buckets, teapots; water transport: poetic images of ships, boats, sails, sails, etc., of course, in some respects are associated with the ideas of love, family, intimate experiences, children and a prosperous life. This is an artistic law that has arisen in our national poetry due to a specific tradition that has emerged from folk songs.
The article reviews current trends in multi-word lexeme processing in computational linguistics, emphasizing the importance of effective natural language analysis. Key areas include: Deep learning: Using neural networks to automatically extract features from texts and work with large amounts of data. Semantic models: Using word vector representations to improve the accuracy of analysis and understand semantic relationships. Multilingual systems: Developing technologies that provide high-quality analysis and translation of texts in different languages. Big data processing: Creating methods for fast and efficient processing of arrays of text information. Integration with other areas: Combining computational linguistics technologies with image and sound processing for complex analysis. The article also highlights the contributions of renowned researchers such as Noam Chomsky and Karen Spark Johnson to the development of this field. Particular attention is paid to the benefits of multi-word lexeme processing for Turkic languages, including taking into account morphological complexity, resolving ambiguities, and improving the quality of machine translation. The work emphasizes the importance of this area for the development of language technologies and communication in the Turkic language community.