• The Journal of the Acoustical Society of Korea
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• v.32 no.5
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• pp.438-445
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• 2013

In this paper, we propose an enhancement of Japanese acoustic model which is trained with Korean speech database by using several combination strategies. We describe the strategies for training more than two language combination, which are Cross-Language Transfer, Cross-Language Adaptation, and Data Pooling Approach. We simulated those strategies and found a proper method for our current Japanese database. Existing combination strategies are generally verified for under-resourced Language environments, but when the speech database is not fully under-resourced, those strategies have been confirmed inappropriate. We made tyied-list with only object-language on Data Pooling Approach training process. As the result, we found the ERR of the acoustic model to be 12.8 %.

• Journal of English Language & Literature
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• v.59 no.4
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• pp.593-617
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• 2013

Tales from Shakespeare, written by Charles and Mary Lamb in 1807, is an adaptation of Shakespeare's plays which was intended for children. Shakespeare's poetic language is transmitted into prose, which enables children to easily read his works. Charles and Mary Lamb collaborated in adapting Shakespeare's plays, but they undertook separate duties which revealed different attitudes in their approach to the adaptation. This dissertation examines Mary Lamb's adaption of Shakespeare's problem play All's Well That Ends Well and Charles Lamb's adaption of Shakespeare' tragedy King Lear, with an adapted pattern focusing on the plot and character. Charles Lamb stressed the "imagination of a fairy tale," which was against the trend in children's literature of the time, while Mary Lamb stressed "the moral and didactic element." Mary Lamb was concerned with the education of female children in the early nineteenth-century. As a result, the Tales presents "a double movement" or perspective, which stresses didactic elements, as well as imagination. These ambivalent attitudes caused critical debates in the nineteenth-century. However, the Lambs defended criticism against "the double movement," suspecting themselves to be "no bigger than a child," from the viewpoint of "the imagination," and reading the Tales to be effective at "making a child a virtuous man," from the viewpoint of "an education."

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.239-244
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• 2023

신경망 기반의 다국어 및 교차 언어 정보 검색 모델은 타겟 언어로 된 학습 데이터가 필요하지만, 이는 고자원 언어에 치중되어있다. 본 논문에서는 이를 해결하기 위해 영어 학습 데이터와 한국어-영어 병렬 말뭉치만을 이용한 효과적인 다국어 정보 검색 모델 학습 방법을 제안한다. 언어 예측 태스크와 경사 반전 계층을 활용하여 인코더가 언어에 구애 받지 않는 벡터 표현을 생성하도록 학습 방법을 고안하였고, 이를 한국어가 포함된 다국어 정보 검색 벤치마크에 대해 실험하였다. 본 실험 결과 제안 방법이 다국어 사전학습 모델과 영어 데이터만을 이용한 베이스라인보다 높은 성능을 보임을 실험적으로 확인하였다. 또한 교차 언어 정보 검색 실험을 통해 현재 검색 모델이 언어 편향성을 가지고 있으며, 성능에 직접적인 영향을 미치는 것을 보였다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.241-249
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• 2022

The purpose of this study is to analyze and verify the effects of multicultural children's psychosocial adaptation, bicultural experience, parental support and parenting attitudes, and school activities on the development of Korean language ability using data from the second stage of the MAPS(Multicultural Adolescents Panel Study) using a structural equation model. The subjects of this study were 396 children from foreign families and mid-immigrant families, multicultural children who were enrolled in the fourth grade of elementary school in 2019. As a result of the study, it was found that psychosocial adaptation, bicultural experience, and school activities directly or indirectly significantly affect the ability of multicultural children to speak and understand Korean. In particular, it was found that school activities have a direct effect on the improvement of the Korean language ability of multicultural children, so it was understood that the support of friends and teachers should be treated as very important parts of educational activities in the educational field. These results mean that the most ideal educational environment that affects the development of Korean language skills must be necessarily reflected in the Korean language education policy for multicultural children.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.511-520
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• 2018

In this study, we looked at whether the character strength of foreign students affects the adaptation of university life and tried to figure out whether cultural adaptation stress has mediating effect. To this end, we set up a research model based on prior research, conducted a survey of 263 foreign students belonging to G City and N City, and analyzed the data using the spss statistics program. As a result of the study, the character strength of foreign students was affecting the adaptation of university life, and the cultural adaptation stress of international students partially mediated the relationship between character strength and university life adaptation. Therefore, it is suggested that it is necessary to develop a program that reduces cultural stress and to have a professional counselor in the university who can continuously consult international students.

• Journal of the Korean Society of Physical Medicine
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• v.10 no.3
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• pp.47-55
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• 2015

PURPOSE: Stoke is one of most common disabling conditions and it is still lacking of measuring patient's functioning level. The aim of the study was to develop Korean language version of stroke impact scale 3.0. METHODS: Korean version of stroke impact scale 3.0 was developed in idiomatic modern Korean with a standard protocol of multiple forward and backward translations and an expert reviews to achieve equivalence with the original English version. Interviews with clinicians who were currently managing patients with stroke were also conducted for language evaluation. A reliability test was performed to make final adaptation using a pre-final version. To assess the reliability of the translated questionnaire, the intraclass correlation coefficient (ICC) was calculated for each domain of the scale. RESULTS: Thirty subjects (16 male, 14 female) aged from 20 to 75 years old participated to review the translated questionnaire. Reliability of each domain of the questionnaire was found to be good in strength (ICC=0.74), ADL (ICC=0.81), mobility (ICC=0.90), hand function (ICC=0.80) and social participation (ICC=0.79), communication (ICC=0.77) with total (ICC=0.76). However, domains of memory and thinking (ICC=0.66), and emotion (ICC=0.27) and showed poor reliability. CONCLUSION: This study indicates that the Korean version of SIS 3.0 was successfully developed. Future study needed for obtaining the validity of the Korean version of SIS 3.0.

• IEMEK Journal of Embedded Systems and Applications
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• v.19 no.2
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• pp.73-81
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• 2024

Recently, mobile manipulators have been utilized in agriculture industry for weed removal and harvest automation. This paper proposes a domain adaptive fruit detection method for harvest automation, by utilizing OWL-ViT model which is an open-vocabulary object detection model. The vision-language model can detect objects based on text prompt, and therefore, it can be extended to detect objects of undefined categories. In the development of deep learning models for real-world problems, constructing a large-scale labeled dataset is a time-consuming task and heavily relies on human effort. To reduce the labor-intensive workload, we utilized a large-scale public dataset as a source domain data and employed a domain adaptation method. Adversarial learning was conducted between a domain discriminator and feature extractor to reduce the gap between the distribution of feature vectors from the source domain and our target domain data. We collected a target domain dataset in a real-like environment and conducted experiments to demonstrate the effectiveness of the proposed method. In experiments, the domain adaptation method improved the AP50 metric from 38.88% to 78.59% for detecting objects within the range of 2m, and we achieved 81.7% of manipulation success rate.

• International Commerce and Information Review
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• v.12 no.3
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• pp.145-166
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• 2010

Chinese employees in Korea have been the leading workers, about 260,000 of 700,000(3% of total employees), in our foreigner's job market. The corporate cultural adaptation of Chinese people is very important to the corporate productivity as well as the Korea economy. The objectives of this paper are to compare the corporate cultural adaptation and job performance of Chinese employees in Korea and to propose the efficient business policies for firm employing Chinese. The propositions could be summarized that language skills and pre-training are positive to the corporate cultural adaptation. This adaptation improved the job performance as a role of motivators in their firms. The job satisfaction and job involvement based on the corporate cultural adaptation are positive relationship to the job performance.

• MALSORI
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• no.46
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• pp.117-126
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• 2003

This paper presents our language model adaptation for Korean spontaneous speech recognition. Korean spontaneous speech is observed various characteristics of content and style such as filled pauses, word omission, and contraction as compared with the written text corpus. Our approaches focus on improving the estimation of domain-dependent n-gram models by relevance weighting out-of-domain text data, where style is represented by n-gram based tf/sup */idf similarity. In addition to relevance weighting, we use disfluencies as Predictor to the neighboring words. The best result reduces 9.7% word error rate relatively and shows that n-gram based relevance weighting reflects style difference greatly and disfluencies are good predictor also.

• ETRI Journal
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• v.36 no.3
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• pp.429-438
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• 2014

Semantic role labeling (SRL) is a task in natural-language processing with the aim of detecting predicates in the text, choosing their correct senses, identifying their associated arguments, and predicting the semantic roles of the arguments. Developing a high-performance SRL system for a domain requires manually annotated training data of large size in the same domain. However, such SRL training data of sufficient size is available only for a few domains. Constructing SRL training data for a new domain is very expensive. Therefore, domain adaptation in SRL can be regarded as an important problem. In this paper, we show that domain adaptation for SRL systems can achieve state-of-the-art performance when based on structural learning and exploiting a prior model approach. We provide experimental results with three different target domains showing that our method is effective even if training data of small size is available for the target domains. According to experimentations, our proposed method outperforms those of other research works by about 2% to 5% in F-score.