This study investigates the relationship between translation competence and higher-order thinking skills in novice translators. Translation competence refers to the ability to effectively and accurately translate texts from one language to another, while higher-order thinking skills encompass critical thinking, problem-solving, and creative thinking abilities. The research employs a quantitative approach, analyzing the performance of novice translators on translation tasks and their demonstrated higher-order thinking skills. The findings shed light on the extent to which translation competence correlates with the application of higher-order thinking skills in the translation process. The implications of the study emphasize the importance of developing both translation competence and higher-order thinking skills in translator training programs.

This article presents a comparative study that investigates the challenges associated with translating neologisms, with a specific focus on the differences between human and machine translation approaches. Neologisms, newly coined words and phrases, pose unique difficulties in translation due to their evolving nature and cultural context. By examining the translation strategies and outcomes of both human translators and machine translation systems, this study aims to provide insights into the effectiveness and limitations of each approach in handling neologisms. The findings contribute to a deeper understanding of the complexities involved in translating neologisms and shed light on the roles of human translators and machine translation technologies in addressing these challenges.

In this article, there is a scientific discussion about the linguistic content of Korean linguistics and the characteristics and structure of Korean linguistics

This article aims to investigate the derivational morphology of lexical word categories in the Assamese language. Derivational morphology refers to the process of forming new words by adding affixes or modifying existing words. Understanding the derivational patterns and processes specific to Assamese is crucial for linguistic research, language documentation, and language teaching. This study adopts a descriptive approach, examining various lexical word categories in Assamese and analyzing their derivational patterns. The findings provide insights into the productive derivational processes and strategies employed in Assamese, contributing to the broader field of morphological analysis.

This study utilizes Bayesian phylolinguistics to uncover the internal structure and time-depth of the Turkic language family. By employing computational methods and linguistic data, we investigate the evolutionary relationships among Turkic languages and estimate the divergence times of their ancestral branches. Through the construction of phylogenetic trees and the application of probabilistic models, we aim to shed light on the historical development and linguistic evolution within the Turkic language family. The findings provide valuable insights into the genetic relationships, language diversification patterns, and temporal framework of the Turkic languages, contributing to our understanding of their shared heritage and historical origins.