This study investigates the performance of a state-of-the-art Large Language Model(LLM) in classifying Korean neutral sentiment without additional fine-tuning and proposes an effective prompt design to improve neutral sentiment classification. To enhance the accuracy of neutral sentiment detection, we introduce a prompt based on Aspect-Based Sentiment Analysis(ABSA) and conduct a comparative evaluation using the proposed approach. The proposed prompt consists of a five-step procedure, including aspect identification and sentiment ratio–based classification, enabling more fine-grained sentiment reasoning. Experimental results demonstrate that the proposed prompt significantly improves classification accuracy when applied to the GPT-4-turbo model, thereby validating the effectiveness of prompt-based control for neutral sentiment analysis in Korean.

This study examines the usage patterns and discourse functions of the ‘ani X’ construction as a complex discourse marker in Korean spoken discourse. It identifies and categorizes instances in which the discourse marker ‘ani’ appears in combination with other expressions. The analysis shows that 37.8% of discourse marker tokens beginning with ‘ani’ are realized in complex forms, indicating that such combinations are not marginal. Focusing on the most frequent types—‘ani keunde’, ‘ani geu’, ‘ani mwo’, ‘ani geureonikka’, and ‘ani geunyang’—the study illustrates how these constructions are used in various interactional contexts, including topic shifts, justification, mitigation, and the management of interpersonal stance. The study provides a descriptive basis for understanding complex discourse markers in Korean and highlights the analytical value of moving beyond single-word forms.

This study verifies the necessity of adding 'educational institution' as a metadata variable to the National Institute of Korean Language's Korean Learner Corpus by comparing a single-institution corpus (Yonsei University Korean Language Institute) with the multi-institution integrated corpus (NIKLC). Sub-corpora were constructed from beginner-level (1-2) writing samples, controlling for variables such as proficiency, nationality, topic, genre, and token count. Analyses included lexical diversity, average sentence length, chi-square tests, and log-likelihood ratio. Results showed statistically significant differences (p<0.001) in lexical distribution and morpheme usage, manifesting as institutional variations in style (declarative vs. polite endings) and vocabulary choice ('한국어' vs. '한국말'). These findings demonstrate the independent impact of institutional factors on learner language, proposing the addition of institution variables to enhance the balance and research potential of the NIKLC corpus.

The study reviews the evolution of Korean corpus construction from the Sejong Project to the AI era, highlighting the shift from linguistic analysis to application-driven datasets. It emphasizes the need for culturally grounded Korean corpora that capture honorifics, idioms, and social context to enhance AI understanding. A seven-stage framework is proposed to build a comprehensive Korean language–culture corpus for improving LLMs’ cultural competence.

This study aims to extract grammatical collocation patterns from the learner corpus constructed by the National Institute of the Korean Language (2015–2019) and to investigate the usage patterns of grammatical collocations among Korean language learners. Grammatical collocations are particularly interesting because they involve two or more linguistic units that function as a single, integrated entity and because these units include forms responsible for grammatical functions. In particular, grammatical collocations are not only a challenging aspect for foreign learners of Korean but also a crucial component in language instruction. Therefore, extracting grammatical collocations from a large-scale learner corpus and analyzing their characteristics is of utmost importance. To achieve this, this study extracted grammatical collocations according to proficiency levels from a morphologically analyzed learner corpus consisting of approximately 2.6 million word tokens and examined their characteristics. Furthermore, to highlight the distinctive features of grammatical collocations in the learner corpus, a comparative analysis was conducted with a native Korean corpus. Through this analysis, the study quantitatively and qualitatively examined the usage patterns of grammatical collocations among Korean learners based on their proficiency levels, while also explicitly identifying distinctions between learners' grammatical collocations and those of native speakers.

The purpose of this study is to present a methodology for processing corpus in order to lay the foundation for comprehensively observing the use of Korean affixes by Korean learners. As basic data for preparing the corpus processing methodology, we will use the distributed by the National Institute of the Korean Language. However, it should be noted that the Korean affixes is not fully analyzed and reflected in the that has inherited the construction system of . Therefore, in order to compensate for this, I would like to analyze the list of all affixes listed in the of the National Institute of the Korean Language. Only after going through this process will the full extent of Korean learners' affixes usage be fully observed with arsenic. In other words, it will be possible to analyze the usage pattern of Korean affixes used by learners, to analyze quantitatively and qualitatively the types of roots combined for each affixes, and to lay the foundation for thorough description by examining the errors in the learner's affixes use and root errors. It is expected that the results of the analysis of the pattern of Korean learners' use of affixees based on these data can be used for learners' vocabulary education.

This study examines the semantic distinction between malda and beorida through corpus analysis. The non-substitutability of the two verbs is largely due to the syntactic and semantic constraints of malda, which are more restrictive than those of beorida. Despite similar conceptual meanings and syntactic combinations, differences emerge in morphological usage and modal nuances perceived by speakers. These findings suggest that malda and beorida form a challenging synonym pair for both teaching and learning, requiring careful semantic analysis. The identified constraints and differences may inform more effective materials for Korean language learners.

The press not only delivers a wide range of news to the public but also plays a crucial role in shaping public opinion on various issues and situations. Depending on their interests, newspapers may interpret the same issue differently. One of the major topics consistently covered by the South Korean press is North Korea. Since the division of the Korean Peninsula, issues related to North Korea have remained a focal point in South Korean society. This study analyzes and discusses the lexical characteristics of North Korea-related news coverage according to the political orientation of newspapers. Politically charged high-frequency words were selected from both progressive and conservative newspapers. An analysis of the usage examples of these words reveals that progressive and conservative newspapers tend to view the same topic from differing perspectives when reporting on North Korea.

This study examined the semantic distinctions among the synonymous Korean adverbs gojak (‘고작’), gikkeot (‘기껏’), gyewu (‘겨우’), bulgwa (‘불과’), and gikkeot-haeya (‘기껏해야’) through a quantitative analysis based on co-occurrence data from the Sejong Corpus. Using hierarchical clustering and correspondence analysis, the study visualized the degree of semantic proximity among these adverbs.The hierarchical clustering results show that gikkeot and gikkeot-haeya form the closest semantic cluster, followed by gojak and bulgwa. In contrast, gyewu emerged as a semantically independent adverb, forming a distinct cluster. Correspondence analysis further confirmed these patterns by illustrating that gojak, gikkeot, and gikkeot-haeya are located near the origin and share similar directional vectors, indicating overlapping co-occurrence profiles. Meanwhile, bulgwa and gyewu are clearly separated in different quadrants of the plot, reflecting their distinct semantic and syntactic properties.By integrating co-occurrence patterns with statistical analysis, this study supplements intuition-based and dictionary-driven synonym classifications. The findings affirm that a corpus-based approach is effective in distinguishing subtle semantic differences among synonymous adverbs. Further research is needed to expand this analysis to a wider range of adverbs and to incorporate pragmatic and discourse-level factors into the investigation..