Korean Sentences Research Articles

The Analysis of Compound Sentence Formation in Moon Jae-In's Posts on Social Media Instagram: An Effort to Increase Writing Skills of Korean Language Education Students UPI

This research is on the formation of compound sentences in Korean, as seen from the uploads on Instagram of former South Korean President Moon Jae-in. On his Instagram, Moon Jae-in uploads photos, videos, and writings containing ideas and responses to things. Researchers see the need to develop writing skills in the Korean Language Education Study Program FPBS UPI. Therefore, the researcher wants to see how Korean speakers form compound sentences according to Korean grammar. As a president, Moon Jae-in is considered able to write in Korean grammar so that it does not cause ambiguity and misunderstanding. The research data found 76 posts by Moon Jae-in and 267 compound sentences. This study also classifies these compound sentences into two classifications, namely 내포문 [nae-pho-mun] 'embedded clause' and 접속문 [jeop-sok-mun] 'conjunctive sentence.' The analysis results show two categories of compound sentence formation patterns in Moon Jae-in's writings: patterns of stacked and non-stacked compound sentence formation. After the analysis was completed, the researcher concluded three strategies for learning to write, namely 1) Students must be able to determine the type of sentence to be made; 2) Students must pay attention to sentence patterns in Korean; and 3) Learners must be careful in choosing the correct grammar.

Children’s moral judgments and reasoning regarding environmentally harmful behaviors: Variation by victim type and moderation effect of connectedness to nature

This study explored the differences in young children’s moral judgments regarding environmentally harmful behaviors based on victim type and the moderation effect of connectedness to nature (CN). Further, this study investigated which reasoning types (ecocentric, anthropocentric, and non-environmental) significantly explained children’s moral judgment. This study included 185 five-year-old Korean children and their mothers. The children participated in two interview sessions. In one session, they were randomly assigned to one of five groups—no video or video with unspecified, human, animal, or plant victim. In another session, they completed a Korean sentence comprehension test and a task assessing their recognition of animals and plants from the video. Mothers responded to a survey on their children’s CN and engagement in pro-environmental activities. A generalized Linear Mixed Model was employed using SPSS Win 27.0. Children’s judgment of environmentally harmful behaviors was more negative when presented with unspecified or human victims. The reasoning for their moral judgments and the moderating role of their CN varied by victim type. Environmental reasoning, especially ecocentric reasoning, was crucial in explaining children’s moral judgments of environmentally harmful behaviors. Thus, considering victims and environmental reasoning types is important for environmental education for sustainable development for young children, emphasizing the need to enhance children’s CN.

Speech synthesis from three-axis accelerometer signals using conformer-based deep neural network

Silent speech interfaces (SSIs) have emerged as innovative non-acoustic communication methods, and our previous study demonstrated the significant potential of three-axis accelerometer-based SSIs to identify silently spoken words with high classification accuracy. The developed accelerometer-based SSI with only four accelerometers and a small training dataset outperformed a conventional surface electromyography (sEMG)-based SSI. In this study, motivated by the promising initial results, we investigated the feasibility of synthesizing spoken speech from three-axis accelerometer signals. This exploration aimed to assess the potential of accelerometer-based SSIs for practical silent communication applications. Nineteen healthy individuals participated in our experiments. Five accelerometers were attached to the face to acquire speech-related facial movements while the participants read 270 Korean sentences aloud. For the speech synthesis, we used a convolution-augmented Transformer (Conformer)-based deep neural network model to convert the accelerometer signals into a Mel spectrogram, from which an audio waveform was synthesized using HiFi-GAN. To evaluate the quality of the generated Mel spectrograms, ten-fold cross-validation was performed, and the Mel cepstral distortion (MCD) was chosen as the evaluation metric. As a result, an average MCD of 5.03 ± 0.65 was achieved using four optimized accelerometers based on our previous study. Furthermore, the quality of generated Mel spectrograms was significantly enhanced by adding one more accelerometer attached under the chin, achieving an average MCD of 4.86 ± 0.65 (p < 0.001, Wilcoxon signed-rank test). Although an objective comparison is difficult, these results surpass those obtained using conventional SSIs based on sEMG, electromagnetic articulography, and electropalatography with the fewest sensors and a similar or smaller number of sentences to train the model. Our proposed approach will contribute to the widespread adoption of accelerometer-based SSIs, leveraging the advantages of accelerometers like low power consumption, invulnerability to physiological artifacts, and high portability.

Development of 20-Talker Korean Sentence In Noise Test Lists

Purpose: Clinical speech recognition measures often present the sentences recorded with a single speaker and one rate of speech. Performances with single-talker recordings may not accurately represent the speech recognition abilities of the listeners in a multitalker communication situation. The present study aimed to construct and optimize the sentences recorded by 20 different talkers for sentence-in-noise recognition tests (20-talker Korean sentence-in-noise test, 20-talker K-SIN).Methods: Phases I and II were conducted in this study. In phase I (developmental phase), preliminary 720 sentences composed of 3 to 6 words were selected and recorded by twenty different talkers (10 male and 10 female). The recorded sentences were superimposed to generate a speech-shaped noise similar to the long-term average speech spectrum of the sentences. In phase II (optimization and formation of equally intelligible sentence lists), the psychometric functions of 30 normal-hearing listeners were obtained from the sentence-in-noise recognition scores at three different signal-to-noise ratios (SNRs) (-2, -4, and -7 dB). Based on these scores, the SNR required for 50% sentence intelligibility (SNR-50) and the slope at that point were derived from the psychometric function curves.Results: Before level adjustment, the median SNR-50 and slope were -4.12 dB SNR and 24.33%/dB over 720 sentences. Level adjustments were applied to homogenize the intelligibility of the sentences, resulting in 508 sentences remained. Out of 508 sentences, 320 sentences were used to construct 1 practice list and 15 test lists, wherein 20 sentences in each list were spoken by each of the 20 different talkers.Conclusion: The 20-talker K-SIN sentences can be used for high-variability speech-in-noise recognition test to better reflect the multitalker communication abilities of listeners.

A cross-cultural analysis of the gestural pattern of surprise and surprise-disapproval questions

Abstract In this article, we address the issue concerning the gestural patterns in expressing surprise and disapproval across various languages and cultures. The results obtained so far point to an interesting, and in a sense rather surprising, uniformity. We consider two types of special questions: counter-expectational questions expressing surprise and surprise-disapproval questions, i.e., sentences expressing surprise with a negative orientation, and adopt an experimental design involving sentence repetition and spontaneous production. We focus on the realization of these sentences in Vietnamese, Korean and Japanese, which we compare with the results previously obtained for Italian and replicated for Neapolitan, Spanish and German. Our research is based on the Minimalist theoretical framework developed by Chomsky and scholars in the tradition of generative grammar.

Investigating the role of case markers in honorific agreement processing in Korean

This study explores the influence of case markers on the attraction effect in subject-verb honorific agreement in Korean. Using a self-paced reading experiment on PCIbex Farm, we manipulated case markers (possessive vs. nominative) and the presence of the honorific marker -si on verbs to assess their impact on the attraction effect, where syntactically illicit NPs are erroneously retrieved due to partial feature matching. While Avetisyan et al. (2020) reported that in Armenian, case information is used as a retrieval cue during subject-verb number agreement, our preliminary findings reveal no significant attraction effect related to case marker similarity, indicating that the case features (nominative case) do not crucially trigger the attraction effect in honorific agreement. The discrepancy with previous studies highlights the role of noun animacy and the specific construction of Korean sentence structure. Our results contribute to understanding the nuanced factors influencing honorific agreement processing in Korean and suggest that case marking, while integral to sentence structure, does not significantly affect the attraction effect in honorific agreement processing.

KoSentEval: A Study of Korean Sentence Embedding Evaluation

KoSentEval: A Study of Korean Sentence Embedding Evaluation

Analisis Kesalahan Penggunaan Partikel Penanda Nominatif -i/ga dan Akusatif eul/reul dalam Karangan Pendek Mahasiswa

This article describes the types and frequencies of errors in the use of the nominative case marker 이/가 (i/ga) and the accusative case marker 을/를 (eul/reul) in short essays written by second-semester students of the Korean Language and Culture Department, Universitas Gadjah Mada. This study analyzed 93 short essays written on the midterm and final exams for the Korean Reading and Writing II course in the 2021/2022 academic year. This research uses both qualitative and quantitative methods. The errors were classified based on the particle usage error classification theory proposed by Jo Cheol Hyeon (2002). The research results showed that there were 66 data in total found in the students' short essays. Of the total 36 data of nominative case marker이/가(i/ga) errors, there were 22 data (61.11%) of substitution errors, 13 data (36.11%) of deletion errors, and 1 data (2.78%) of form error. Then, of the total 31 data of accusative case marker을/를 (eul/reul) errors, there were 20 data (66.67%) of substitution errors and 10 data (33.33%) of deletion errors. One of the factors that is thought to contribute to the occurrence of errors in the use of nominative case marker이/가 (i/ga) and accusative case marker을/를 (eul/reul) is inadequate knowledge of the word class of a Korean sentence predicate. This causes learners to be unable to correctly determine the arguments that function as subject and object in a sentence.

Eye-movement reveals word order effects on comparative sentences in older adults using a verb-final language.

This study aimed to examine age-related differences in the comprehension of Korean comparative sentences with varying word orders by employing both offline and online measures, and to investigate how variations in word order affect sentence processing across different age groups. A total of 52 monolingual native Korean speakers, 26 young adults, and 26 older adults, completed a sentence-picture-matching task under two word order conditions: comparative-first and nominative-first. Offline measures included accuracy and response time, while an online method involved eye-tracking within the Visual World Paradigm. Data analyses were performed using linear and generalized linear mixed-effects models. Older adults demonstrated lower accuracy and longer response times compared to younger individuals. Distinctive fixation patterns were observed, particularly in the sentential-final phrase, across different age groups. Specifically, nominative-first sentences elicited greater target advantage scores among younger adults, whereas older adults showed higher scores in comparative-first sentences. The study highlights the potential of comparative sentences in elucidating age-related changes in sentence comprehension. These differences were evident not only in offline tasks but also in real-time processing, as evidenced by eye-tracking data. The findings suggest distinct processing strategies employed by young and older adults and underscore the importance of considering both syntactic and semantic cues in sentence comprehension.

Personality perception in synthetic versus natural speech: The effects of voice quality and prosody

Synthetic speech technology, now approaching human-like naturalness due to advancements in deep learning, has turned to focusing on personality or persona design as a common practice in the industry. The present study aimed to identify speech characteristics affecting personality impressions in synthetic and natural speech. Thirty native Korean speakers participated in a personality rating experiment in which they evaluated natural Korean sentences and their synthetic counterparts in terms of the Big-Five personality model. Acoustic analyses were performed to examine voice quality and prosody, including Intonational Phrase (IP) boundary tones. The results revealed that scores of agreeableness, conscientiousness, and emotional stability increased overall when the voices contained greater aperiodicity in the harmonics (i.e., were likely breathier) and were weaker in energy. The results also demonstrated that different prosodic features affected personality perception in synthetic and natural speech; synthetic speech with a wider F0 range received higher scores on extroversion, openness, and emotional stability. In contrast, the effect of IP boundary tones was most frequently found for female natural speech, which contained a wider range of tones, including multitonals (e.g., LHL%). Our findings suggest that intonation is one of the key factors which can be adjusted to generate synthetic speech with various personalities.

Listening effort under different rates of speech

Listening effort, the cognitive resources allocated to understand spoken language, is a critical issue in communication under adverse listening environments. The present study investigated how listening effort would be affected by differing speech tempos. The experiment involved 23 native Korean adults with normal hearing, who were presented with linguistically complex Korean sentences at five different speeds (35%∼200% of original time). The cognitive load associated with listening under various speech rate conditions was quantified employing a dual-task paradigm, where the increased listening effort would impair the performance on an additional cognitive task. Participants listened to the sentences while performing an n-back task and then repeated back the sentence they heard. The results found a significant effect of speech rate on the n-back task, with lower accuracies in the faster speech conditions. The additional task also increased the overall cognitive load of sentence recognition, leading to various speech errors, such as the omission of key content words, unnecessary additions, and substitutions with similar words. This demonstrates that increased cognitive load during listening impairs speech processing at multiple levels (e.g., semantic processing, retention of words in working memory), emphasizing the need to adjust speech tempos for better understanding and comfort in listeners.

Two-Stream Network for Korean Natural Language Understanding

This study pioneers a dual-stream network architecture tailored for Korean Natural Language Understanding (NLU), focusing on enhancing comprehension by distinct processing of syntactic and semantic aspects. The hypothesis is that this bifurcation can lead to a more nuanced and accurate understanding of the Korean language, which often presents unique syntactic and semantic challenges not fully addressed by generalized models. The validation of this novel architecture employs the Korean Natural Language Inference (koNLI) and Korean Semantic Textual Similarity (koSTS) datasets. By evaluating the model's performance on these datasets, the study aims to determine its efficacy in accurately parsing and interpreting Korean text's syntactic structure and semantic meaning. Preliminary results from this research are promising. They indicate that the dual-stream approach significantly enhances the model's capability to understand and interpret complex Korean sentences. This improvement is crucial in NLU, especially for language-specific applications. The implications of this study are far-reaching. The methodology and findings could pave the way for more sophisticated NLU applications tailored to the Korean language, such as advanced sentiment analysis, nuanced text summarization, and more effective conversational AI systems. Moreover, this research contributes significantly to the broader field of NLU by underscoring the importance and efficacy of developing language-specific models, moving beyond the one-size-fits-all approach of general language models. Thus, this study is a testament to the potential of specialized approaches in language understanding technologies.

Structural representation in the native language after extended second-language immersion: Evidence from acceptability judgment and memory-recall

Abstract Knowing the sentence structures (i.e., information that guides the assembly of words into sentences) is crucial in language knowledge. This knowledge must be stable for successful communication, but when learning another language that uses different structures, speakers must adjust their structural knowledge. Here, we examine how newly acquired second language (L2) knowledge influences first language (L1) structure knowledge. We compared two groups of Korean speakers: Korean-immersed speakers living in Korea (with little English exposure) versus English-immersed speakers who acquired English late and were living in the US (with more English exposure). We used acceptability judgment and sentence production tasks on Korean sentences in English and Korean word orders. Results suggest that acceptability and structural usage in L1 change after exposure to L2, but not in a way that matches L2 structures. Instead, L2 exposure might lead to increased difficulties in the selection and retrieval of word orders while using L1.

Predicting neuroticism with open-ended response using natural language processing.

With rapid advancements in natural language processing (NLP), predicting personality using this technology has become a significant research interest. In personality prediction, exploring appropriate questions that elicit natural language is particularly important because questions determine the context of responses. This study aimed to predict levels of neuroticism-a core psychological trait known to predict various psychological outcomes-using responses to a series of open-ended questions developed based on the five-factor model of personality. This study examined the model's accuracy and explored the influence of item content in predicting neuroticism. A total of 425 Korean adults were recruited and responded to 18 open-ended questions about their personalities, along with the measurement of the Five-Factor Model traits. In total, 30,576 Korean sentences were collected. To develop the prediction models, the pre-trained language model KoBERT was used. Accuracy, F1 Score, Precision, and Recall were calculated as evaluation metrics. The results showed that items inquiring about social comparison, unintended harm, and negative feelings performed better in predicting neuroticism than other items. For predicting depressivity, items related to negative feelings, social comparison, and emotions showed superior performance. For dependency, items related to unintended harm, social dominance, and negative feelings were the most predictive. We identified items that performed better at neuroticism prediction than others. Prediction models developed based on open-ended questions that theoretically aligned with neuroticism exhibited superior predictive performance.

사용자 사전과 형태소 토큰을 사용한 트랜스포머 기반 형태소 분석기

Since morphemes are the smallest unit of meaning in Korean, it is necessary to develop an accurate morphemes analyzer to improve the performance of the Korean language model. However, most existing analyzers present morpheme analysis results by learning word unit tokens as input values. However, since Korean words are consist of postpositions and affixes that are attached to the root, even if they have the same root, the meaning tends to change due to the postpositions or affixes. Therefore, learning morphemes using word unit tokens can lead to misclassification of postposition or affixes. In this paper, we use morpheme-level tokens to grasp the inherent meaning in Korean sentences and propose a morpheme analyzer based on a sequence generation method using Transformer. In addition, a user dictionary is constructed based on corpus data to solve the out-of-vocabulary problem. During the experiment, the morpheme and morpheme tags printed by each morpheme analyzer were compared with the correct answer data, and the experiment proved that the morpheme analyzer presented in this paper performed better than the existing morpheme analyzer.

CONTRASTIVE STUDY OF CLOSED INTERROGATIVE SENTENCE IN KOREAN AND INDONESIAN LANGUAGE

This study discusses Korean and Indonesian morphosyntactic characteristics of closed interrogative sentences. The method used is descriptive qualitative with literature review and contrastive analysis. The results showed that there were differences and similarities in terms of closed interrogative markers, sentence structure, and sentence negation. The first difference in closed interrogative markers is that the marker in Korean is an interrogative sentence-ending (eomi) at the end of a sentence rather than a question word, whereas the marker in Indonesian is the question word apa at the beginning of the sentence and particle -kah at the beginning, middle or end of the sentence. Second, there are differences and similarities in sentence construction. Subjects that refer to the second person are omitted in Korean, whereas in Indonesian, the subject is required. The parallels lie in the fact that the predicate is a necessary component of sentence structure and that the presence of the object depends on the kind of verb used as the predicate. Thirdly, there is a distinction between Korean and Indonesian sentence negation in that Korean has a wider range of negation forms.

李圭景의 『五洲筆疇』 고찰

『Oju-Yeonmunjangjeon-Sango(五洲衍文長箋散稿)』 by Lee Kyu-gyeong (李圭景, 1788~1856) is an encyclopedia of Joseon in the 19th century. It is highly evaluated for not only having a lot of content, but also for making good use of previous books. A symposium with the theme of 『Ohjuyeonmunjangjeonsango』 was held, and at this time Lee Kyu-gyeong's erudition was revealed and the level of Korean intellectual history in the 19th century was proved.&#x0D; Lee Kyu-gyeong's 『Shiga-Jumdeung(詩家點燈)』 is a book that criticizes Korean and Chinese poetry and sentences. Researchers do not use it as much as 『Oju-Yeonmunjangjeon-Sango』 because it is difficult to identify characters and it is not databased, but there is no disagreement that it has a lot of content like 『Oju-Yeonmunjangjeon-Sango』. 『Oju-Yeonmunjangjeon-Sango』 and 『Shiga-Jumdeung』 make us look forward to the value of another of Lee Kyu-kyung's books that have not been discovered yet.&#x0D; 『Oju-Yeonmunjangjeon-Sango』 says “It can be seen in detail in 『Oju- Pilju(五洲筆疇)』”, so 『Oju-Pilju』, which was obviously Lee Kyu-kyung's book but had not been seen before, was newly discovered. It is a hand-held book [袖珍本] similar in size to 『Shiga-Jumdeung』. There are 20 letters in 10 lines and a total of 72 pages. The condition of the book is very good, so it is easy to distinguish the letters.&#x0D; 『Oju-Pilju』 contains military operations, which are the core of war, walls for defense, pavilions to watch military camps, armor and weapons, carts carrying munitions, other things that could be weapons, military medicine, and amulets to defeat the enemy. In other words, it is a ‘book on military strategy(兵法書)’ with quite a bit of content. Through two prefaces written by Lee Kyu-gyeong, he emphasized that as a Confucian scholar, the purpose of separately writing the book on military strategy, 『Oju-Pilju』, was to achieve a peaceful era.&#x0D; Looking at the parts related to the walls, weapons, and carts that Lee Kyu-kyung said he put effort into in the preface, it is clear that he had a high level of knowledge about ‘strategy’. Through the review of 『Oju-Pilju』, it is possible to accurately grasp the level of Joseon books on military strategy in the 19th century.

The Korean Speech Recognition Sentences: A Large Corpus for Evaluating Semantic Context and Language Experience in Speech Perception.

The aim of this study was to develop and validate a large Korean sentence set with varying degrees of semantic predictability that can be used for testing speech recognition and lexical processing. Sentences differing in the degree of final-word predictability (predictable, neutral, and anomalous) were created with words selected to be suitable for both native and nonnative speakers of Korean. Semantic predictability was evaluated through a series of cloze tests in which native (n = 56) and nonnative (n = 19) speakers of Korean participated. This study also used a computer language model to evaluate final-word predictabilities; this is a novel approach that the current study adopted to reduce human effort in validating a large number of sentences, which produced results comparable to those of the cloze tests. In a speech recognition task, the sentences were presented to native (n = 23) and nonnative (n = 21) speakers of Korean in speech-shaped noise at two levels of noise. The results of the speech-in-noise experiment demonstrated that the intelligibility of the sentences was similar to that of related English corpora. That is, intelligibility was significantly different depending on the semantic condition, and the sentences had the right degree of difficulty for assessing intelligibility differences depending on noise levels and language experience. This corpus (1,021 sentences in total) adds to the target languages available in speech research and will allow researchers to investigate a range of issues in speech perception in Korean. https://doi.org/10.23641/asha.24045582.

Evaluation of the applicability of ChatGPT in biological nursing science education

Purpose: The purpose of this study was to evaluate the applicability of ChatGPT in biological nursing science education. Methods: This study was conducted by entering questions about the field of biological nursing science into ChatGPT versions GPT-3.5 and GPT-4 and evaluating the answers. Three questions each related to microbiology and pharmacology were entered, and the generated content was analyzed to determine its applicability to the field of biological nursing science. The questions were of a level that could be presented to nursing students as written test questions. Results: The answers generated in English had 100.0% accuracy in both GPT-3.5 and GPT-4. For the sentences generated in Korean, the accuracy rate of GPT-3.5 was 62.7%, and that of GPT-4 was 100.0%. The total number of Korean sentences in GPT-3.5 was 51, while the total number of Korean sentences in GPT-4 was 68. Likewise, the total number of English sentences in GPT-3.5 was 70, while the total number of English sentences in GPT-4 was 75. This showed that even for the same Korean or English question, GPT-4 tended to be more detailed than GPT-3.5. Conclusion: This study confirmed the advantages of ChatGPT as a tool to improve understanding of various complex concepts in the field of biological nursing science. However, as the answers were based on data collected up to 2021, a guideline reflecting the most up-to-date information is needed. Further research is needed to develop a reliable and valid scale to evaluate ChatGPT’s responses.

Differential Performance in Musical Chord and Grammaticality Judgement Tasks in Post-stroke Aphasia

Objectives: The purpose of this study was to investigate the differential performance on musical chord and grammaticality judgement tasks in post-stroke aphasia. The accuracy of musical chord judgement task and grammaticality judgement tasks were analyzed, and the correlation between grammaticality judgement task and the severity of aphasia was examined. Methods: Fourteen individuals with aphasia and fifteen adults without aphasia participated in the study. The subject listened to a presented voice and was asked to determine whether the musical chord connection was natural and whether there was a grammatical error in the sentence. Results: First, People With Aphasia (PWA) showed significantly lower accuracy in the grammaticality judgement task compared to adults without aphasia. Second, PWA showed significantly lower accuracy in the musical chord judgement task compared to adults without aphasia. Third, the accuracy of the grammaticality judgement task was the most predictable variable of the severity of aphasia by 37.9%. Conclusion: PWA showed significantly lower accuracy in musical chord and grammaticality judgement tasks compared with normal adults, suggesting that PWA have difficulties in performing musical and grammatical tasks. Since damage to the brain structures affects music and language ability, PWA showed poorer performance on both musical chord and grammaticality judgement tasks. Moreover, grammaticality in Korean has an important role in this task. Thus, producing various treatment protocols of grammar comprehension is important because grammaticality is an important linguistic feature in comprehending sentences in Korean.