• 영어어문교육
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• 제1호
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• pp.109-127
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• 1995

Due to frequent international exchanges, there has been much emphasis on communication proficiency in foreign language education. However, when we look back upon teaching English in Korea over past years, we find that English teaching has been dominated mainly by Grammar-Translation Method, which makes teachers and students pay little attention to listening skill that is regarded as the basis of communication proficiency. Recently many English teachers have shown their interest in listening skill, so they come to use the textbook record tapes to improve listening skill. But listening training by textbook record tapes seems to make students feel bored. So the purpose of this study is to suggest an effective way of improving listening skill by means of Pop Songs that the students are indulged in. The processes of this study consist of three stages : 1) listening to songs, 2) explanation about structures and vocabularies in songs, 3) filling in blanks while listening. The subjects in this study are freshmen 88 students in girls' High School They are grouped into two : one is experimental group and the other control group. Among the subjects, the former have been taught by the lesson plan using pop songs, while the latter by the lesson plan using textbook record tapes. The experiment lasts about 9 months (from March to November, l994) The data for analyzing the study results have been collected from two kinds of tests : one is listening test and the other comprehensive test. The hypothesises of this study areas follows : 1) Depending on hearing materials (experimental material vs traditional material), there will be a difference in scores of listening skills between EG (experimental group) and CG (control group), 2) Depending on the interest on pop songs, there will be a difference in scores of hearing skills in CG, 3) Depending on hearing material. there will be a difference in scores of overall English skills between EG and CG, 4) Improvement in listening skill will give influence on the overall English scores. The findings of this study indicate that pop songs are effective to improve students' listening skill, that students' interest in the hearing material is important, and that listening skill is closely related to other skills, especially reading skill. It can be concluded that English teachers should make efforts to find the suitable listening materials which will help students to improve their listening proficiency effectively.

• 음성과학
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• 제11권1호
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• pp.87-103
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• 2004

This study investigates Korean listeners' perception of the English stop epenthesis between the sonorant and fricative segments. Specifically this study investigates 1) how often English epenthetic stops are perceived by native Korean listeners, given the fact that Korean does not allow consonant clusters in codas; and 2) whether perception of the epenthetic stops, which are optional phonetic variations, not phonemes, could be improved without any explicit training. 120 English non-words with a mono-syllable structure of CVC1C2, where C1=/m, n, $\eta$, 1/, and C2=/s, $\theta$, $\int$/, were given to two groups of native Korean listeners, and they were asked to detect the target stops such as [p], [t], and [k]. The number of their responses were computed to determine how often listeners succeed in recovering the string of segments produced by the native English speaker. The results of the present study show that English epenthetic stops are poorly identified by native Korean listeners with low English proficiency, even in the case where stimuli with strong acoustic cues are provided with, but perception of epenthetic stops is closely related with listeners' English proficiency, showing the possibility of the improvement of perception. It further shows that perception of epenthetic stops shows asymmetry between coronal and non-coronal consonants.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 ICEIC The International Conference on Electronics Informations and Communications
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• pp.103-109
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• 2004

In NLP (Natural Language Processing) tasks, the highest difficulty which computers had to face with, is the built-in ambiguity of Natural Languages. To disambiguate it, formerly, they based on human-devised rules. Building such a complete rule-set is time-consuming and labor-intensive task whilst it doesn't cover all the cases. Besides, when the scale of system increases, it is very difficult to control that rule-set. So, recently, many NLP tasks have changed from rule-based approaches into corpus-based approaches with large annotated corpora. Corpus-based NLP tasks for such popular languages as English, French, etc. have been well studied with satisfactory achievements. In contrast, corpus-based NLP tasks for Vietnamese are at a deadlock due to absence of annotated training data. Furthermore, hand-annotation of even reasonably well-determined features such as part-of-speech (POS) tags has proved to be labor intensive and costly. In this paper, we present our building an annotated English-Vietnamese parallel aligned corpus named EVC to train for Vietnamese-related NLP tasks such as Word Segmentation, POS-tagger, Word Order transfer, Word Sense Disambiguation, English-to-Vietnamese Machine Translation, etc.

• 한국항공운항학회지
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• 제31권2호
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• pp.108-115
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• 2023

Alongside the rapid development of AI technology, which is stepping in to do tasks more quickly and less prone to error than humans can, the possibility for MI (multiple intelligence) development warrants equal attention and fervor. Recent theories of human intelligence point beyond standard cognitive capacity, IQ, and shine a light on the other unique potentials naturally endowed to humans. The applicability of MI to aviation is discussed, suggesting that it is important to consider ways to integrate MI development techniques into pilot education and training. Experiential starting points are discussed.

• Educational Technology International
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• 제20권1호
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• pp.25-55
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• 2019

The core purpose of the study is to develop and validate an ADDIE model based instructional model for English Language Teaching (ELT) in early childhood classroom in Bangladesh as an aid to teachers to reconstruct their knowledge and experience more strategically, and for them to design and implement their instruction more structurally. This study is developmental in nature which has been divided in five phases as follows. Phase I: Existing methods and instructional strategy review, Phase II: Instructional model development, Phase III: Delphi 1st round, Phase IV: Delphi 2nd round and Phase V: Model validation. After reviewing relevant literature and existing strategy in phase I, the 1st version of instructional model is made phase II. Next in phase III and phase IV, two rounds of Delphi have been conducted where experts related to different concerning areas of this study reviewed the 1st version and gradually the final version of the instructional model is made. Finally, the instructional model for English teachers of early childhood classroom in Bangladesh got validated by the same Delphi panelists in Phase V. In respect with each phases of ADDIE, the instructional model elaborates the 1) representative key points, 2) instructors' activities prescribed for the instructors, 3) supporting strategies. Both the conceptual and procedural models are included in this study for clearer identification of the whole process. Lastly the study provides some recommendations for instructors and practitioners on choosing the instructional model like doing prior need analysis, incorporating teacher training programs, training students, keeping on researching for finding effective teaching technique and tools and being open to changes etc. In addition, the study also acknowledges its limitations like not being able to consider the psychological factors due to time limitation. Finally, at the end the study points out the areas that welcome further research.

• 영어어문교육
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• 제17권4호
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• pp.23-47
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• 2011

This study investigates the effect of peer tutoring and peer tutor training program on Korean university students' EFL writing. Six tutors and twelve tutees have participated in the experiment. The tutors were divided into untrained and trained groups each of which was assigned to teach six tutees. The three peer tutors in the experimental group received training on how to give peer tutoring. After the pre-test, the tutees wrote series of drafts on three topics and received written feedback from their peer tutors via email. The results of the post-test showed improvement in writing scores in both groups. The tutees in the trained peer tutor group, however, showed much greater improvement. Their improvement was also more consistent, and the score differences between the two groups increased over time. Analysis of the peer tutors' written feedback indicated that the trained tutors focused more on the higher order concerns in writing than the untrained ones did. In the questionnaire all tutees responded positively to the peer tutoring experience. The results indicate that peer tutor training programs may have beneficial effects on Korean university students' writing abilities especially in the elements of higher order concerns.

• Communications for Statistical Applications and Methods
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• 제27권3호
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• pp.313-326
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• 2020

Deep Learning is the most important key to the development of Artificial Intelligence (AI). There are several distinguishable architectures of neural networks such as MLP, CNN, and RNN. Among them, we try to understand one of the main architectures called Recurrent Neural Network (RNN) that differs from other networks in handling sequential data, including time series and texts. As one of the main tasks recently in Natural Language Processing (NLP), we consider Neural Machine Translation (NMT) using RNNs. We also summarize fundamental structures of the recurrent networks, and some topics of representing natural words to reasonable numeric vectors. We organize topics to understand estimation procedures from representing input source sequences to predict target translated sequences. In addition, we apply multiple translation models with Gated Recurrent Unites (GRUs) in Keras on English-Korean sentences that contain about 26,000 pairwise sequences in total from two different corpora, colloquialism and news. We verified some crucial factors that influence the quality of training. We found that loss decreases with more recurrent dimensions and using bidirectional RNN in the encoder when dealing with short sequences. We also computed BLEU scores which are the main measures of the translation performance, and compared them with the score from Google Translate using the same test sentences. We sum up some difficulties when training a proper translation model as well as dealing with Korean language. The use of Keras in Python for overall tasks from processing raw texts to evaluating the translation model also allows us to include some useful functions and vocabulary libraries as well.

• 영어영문학
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• 제58권4호
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• pp.679-700
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• 2012

This study aims to examine Mark Twain's criticism of American capitalistic ideals in the late nineteenth century. During this second industrial revolution, industry showed rapid growth and capitalism established an order, while America suffered under the monopolization of capitalistic conglomerates. This resulted in the widening gap between the rich and the poor and the dehumanization caused by rapid industrialization. In A Connecticut Yankee in King Arthur's Court, Hank Morgan, the protagonist--who represents nineteenth-century America's industrialism, individualism, and capitalism--is sent back in time to the sixth century of Arthurian England. Hank attempts to introduce nineteenth-century technologies and machines to build a capitalistic system in the middle ages. However, Hank's efforts lead to disaster in which the country and civilization he worked to build is completely destroyed. Although Twain does not deny capitalistic ideals, he criticizes the "governmentality" that operates Hank's reform system to the extreme. Hank values efficiency and utilizes human beings as capital. Hank's economic reason not only transforms the Round-Table knights into speculators but also transforms their religious acts and abstract ideals into moneymaking businesses. The destructive ending anticipates the World Wars and the Great Depression in the first half of twentieth century and even serves to predict the dangers that follow.

• International Journal of Computer Science & Network Security
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• 제21권11호
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• pp.328-332
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• 2021

The article considers general tendencies in world and education, and also both principles and methods of forming professional, communicative, intercultural competences and in the process of teaching foreign language for professional purposes in the conditions of engineering, economic and other non-linguistic specialties at technical university. The article views some essential issues of this competence including awareness of pedagogical values, the construction of the pedagogical process, pedagogical communication and behavior; pedagogical technology, its essence, structural components, understanding of innovative components of professional activity, requirements for the design and engineering of pedagogical technologies.

• 말소리와 음성과학
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• 제15권3호
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• pp.69-74
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• 2023

This study introduces an innovative model for zero-shot voice conversion that utilizes the capabilities of HuBERT. Zero-shot voice conversion models can transform the speech of one speaker to mimic that of another, even when the model has not been exposed to the target speaker's voice during the training phase. Comprising five main components (HuBERT, feature encoder, flow, speaker encoder, and vocoder), the model offers remarkable performance across a range of scenarios. Notably, it excels in the challenging unseen-to-unseen voice-conversion tasks. The effectiveness of the model was assessed based on the mean opinion scores and similarity scores, reflecting high voice quality and similarity to the target speakers. This model demonstrates considerable promise for a range of real-world applications demanding high-quality voice conversion. This study sets a precedent in the exploration of HuBERT-based models for voice conversion, and presents new directions for future research in this domain. Despite its complexities, the robust performance of this model underscores the viability of HuBERT in advancing voice conversion technology, making it a significant contributor to the field.