• Title/Summary/Keyword: 영어 학습

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Study on Zero-shot based Quality Estimation (Zero-Shot 기반 기계번역 품질 예측 연구)

  • Eo, Sugyeong;Park, Chanjun;Seo, Jaehyung;Moon, Hyeonseok;Lim, Heuiseok
    • Journal of the Korea Convergence Society
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    • v.12 no.11
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    • pp.35-43
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    • 2021
  • Recently, there has been a growing interest in zero-shot cross-lingual transfer, which leverages cross-lingual language models (CLLMs) to perform downstream tasks that are not trained in a specific language. In this paper, we point out the limitations of the data-centric aspect of quality estimation (QE), and perform zero-shot cross-lingual transfer even in environments where it is difficult to construct QE data. Few studies have dealt with zero-shots in QE, and after fine-tuning the English-German QE dataset, we perform zero-shot transfer leveraging CLLMs. We conduct comparative analysis between various CLLMs. We also perform zero-shot transfer on language pairs with different sized resources and analyze results based on the linguistic characteristics of each language. Experimental results showed the highest performance in multilingual BART and multillingual BERT, and we induced QE to be performed even when QE learning for a specific language pair was not performed at all.

A review on the method of coined words by Korean and Chinese characters (한·중 인물지칭 신어 조어방식에 관한 고찰 - 2017년과 2018년을 중심으로 -)

  • Wang, Yan
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.178-185
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    • 2022
  • This study compared and analyzed the characteristics of new words by classifying 197 newly coined Korean and Chinese characters in 2017 and 2018 into single, compound, derivative, abbreviated, and hybrid words according to the coined method. In the case of a single language, Korean is all words borrowed from Chinese and English. However, no monolingual language appeared in Chinese. In the case of compound words, the format of the Chinese synthesis method was much more diverse and the generative power was stronger than that of Korea. In the case of derivatives, there are not many prefixes in both countries, and Korean suffixes have the strongest productivity of Chinese suffixes and weak productivity of foreign and native suffixes. Korean foreign language suffixes were characterized by relatively more appearance than Chinese. In the case of abbreviations, it can be seen that the productivity of dark syllables is stronger for Korean abbreviations, and the productivity of empty syllables is stronger for Chinese abbreviations. In the case of mixed languages, the hybrid form of Korean was much more diverse than that of Chinese. Through this study, it will be possible to help Chinese Korean learners understand the process of forming a new language, and to develop their ability to guess the meaning of Korean words while learning a new language.

Building robust Korean speech recognition model by fine-tuning large pretrained model (대형 사전훈련 모델의 파인튜닝을 통한 강건한 한국어 음성인식 모델 구축)

  • Changhan Oh;Cheongbin Kim;Kiyoung Park
    • Phonetics and Speech Sciences
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    • v.15 no.3
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    • pp.75-82
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    • 2023
  • Automatic speech recognition (ASR) has been revolutionized with deep learning-based approaches, among which self-supervised learning methods have proven to be particularly effective. In this study, we aim to enhance the performance of OpenAI's Whisper model, a multilingual ASR system on the Korean language. Whisper was pretrained on a large corpus (around 680,000 hours) of web speech data and has demonstrated strong recognition performance for major languages. However, it faces challenges in recognizing languages such as Korean, which is not major language while training. We address this issue by fine-tuning the Whisper model with an additional dataset comprising about 1,000 hours of Korean speech. We also compare its performance against a Transformer model that was trained from scratch using the same dataset. Our results indicate that fine-tuning the Whisper model significantly improved its Korean speech recognition capabilities in terms of character error rate (CER). Specifically, the performance improved with increasing model size. However, the Whisper model's performance on English deteriorated post fine-tuning, emphasizing the need for further research to develop robust multilingual models. Our study demonstrates the potential of utilizing a fine-tuned Whisper model for Korean ASR applications. Future work will focus on multilingual recognition and optimization for real-time inference.

Can ChatGPT Pass the National Korean Occupational Therapy Licensure Examination? (ChatGPT는 한국작업치료사면허시험에 합격할 수 있을까?)

  • Hong, Junhwa;Kim, Nayeon;Min, Hyemin;Yang, Hamin;Lee, Sihyun;Choi, Seojin;Park, Jin-Hyuck
    • Therapeutic Science for Rehabilitation
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    • v.13 no.1
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    • pp.65-74
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    • 2024
  • Objective : This study assessed ChatGPT, an artificial intelligence system based on a large language model, for its ability to pass the National Korean Occupational Therapy Licensure Examination (NKOTLE). Methods : Using NKOTLE questions from 2018 to 2022, provided by the Korea Health and Medical Personnel Examination Institute, this study employed English prompts to determine the accuracy of ChatGPT in providing correct answers. Two researchers independently conducted the entire process, and the average accuracy of both researchers was used to determine whether ChatGPT passed over the 5-year period. The degree of agreement between ChatGPT answers of the two researchers was assessed. Results : ChatGPT passed the 2020 examination but failed to pass the other 4 years' examination. Specifically, its accuracy in questions related to medical regulations ranged from 25% to 57%, whereas its accuracy in other questions exceeded 60%. ChatGPT exhibited a strong agreement between researchers, except for medical regulation questions, and this agreement was significantly correlated with accuracy. Conclusion : There are still limitations to the application of ChatGPT to answer questions influenced by language or culture. Future studies should explore its potential as an educational tool for students majoring in occupational therapy through optimized prompts and continuous learning from the data.

The Statistical Approach-based Intelligent Education Support System (통계적 접근법을 기초로 하는 지능형 교육 지원 시스템)

  • Chung, Jun-Hee
    • Journal of Intelligence and Information Systems
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    • v.18 no.1
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    • pp.109-123
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    • 2012
  • Many kinds of the education systems are provided to students. Many kinds of the contents like School subjects, license, job training education and so on are provided through many kinds of the media like text, image, video and so on. Students will apply the knowledge they learnt and will use it when they learn other things. In the existing education system, there have been many situations that the education system isn't really helpful to the students because too hard contents are transferred to them or because too easy contents are transferred to them and they learn the contents they already know again. To solve this phenomenon, a method that transfers the most proper lecture contents to the students is suggested in the thesis. Because the difficulty is relative, the contents A can be easier than the contents B to a group of the students and the contents B can be easier than the contents A to another group of the students. Therefore, it is not easy to measure the difficulty of the lecture contents. A method considering this phenomenon to transfer the proper lecture contents is suggested in the thesis. The whole lecture contents are divided into many lecture modules. The students solve the pattern recognition questions, a kind of the prior test questions, before studying the lecture contents and the system selects and provides the most proper lecture module among many lecture modules to the students according to the score about the questions. When the system selects the lecture module and transfer it to the student, the students' answer and the difficulty of the lecture modules are considered. In the existing education system, 1 kind of the content is transferred to various students. If the same lecture contents is transferred to various students, the contents will not be transferred efficiently. The system selects the proper contents using the students' pattern recognition answers. The pattern recognition question is a kind of the prior test question that is developed on the basis of the lecture module and used to recognize whether the student knows the contents of the lecture module. Because the difficulty of the lecture module reflects the all scores of the students' answers, whenever a student submits the answer, the difficulty is changed. The suggested system measures the relative knowledge of the students using the answers and designates the difficulty. The improvement of the suggested method is only applied when the order of the lecture contents has nothing to do with the progress of the lecture. If the contents of the unit 1 should be studied before studying the contents of the unit 2, the suggested method is not applied. The suggested method is introduced on the basis of the subject "English grammar", subjects that the order is not important, in the thesis. If the suggested method is applied properly to the education environment, the students who don't know enough basic knowledge will learn the basic contents well and prepare the basis to learn the harder lecture contents. The students who already know the lecture contents will not study those again and save more time to learn more various lecture contents. Many improvement effects like these and so on will be provided to the education environment. If the suggested method that is introduced on the basis of the subject "English grammar" is applied to the various education systems like primary education, secondary education, job education and so on, more improvement effects will be provided. The direction to realize these things is suggested in the thesis. The suggested method is realized with the MySQL database and Java, JSP program. It will be very good if the suggested method is researched developmentally and become helpful to the development of the Korea education.

A Study on the Development Direction of Reading Education in the 2015 Revised Curriculum (2015 개정 교육과정에 따른 독서교육의 발전 방향 모색 - 교과서 수록 읽기자료를 중심으로 -)

  • Choi, Young-im
    • Journal of Korean Library and Information Science Society
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    • v.48 no.4
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    • pp.429-448
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    • 2017
  • The purpose of this study is to present the development direction of future reading education by examining the characteristics of reading materials within the high school textbook developed as the 2015 revised curriculum. For this purpose, reading materials of high school textbooks were analyzed in Korean language, mathematics, English, integrated science, and integrated social studies. The analysis criteria of reading materials were subject type, purpose, and student activities. As a result of the study, reading materials on various themes such as humanity, liberty, culture, environment, and district were presented in the integrated society and integrated science textbook of the 2015 revised curriculum. In particular, the Korean language curriculum was composed of a unit called "reading one book in one semester". However, most reading materials have no guidance on reading effective or reading direction, and lack of reading materials and information for extended reading. The reader's reading of the textbook was found to be simply supplementing the learning content of each unit or presenting fragmentary cues for conceptual purposes. This suggests that there is a lack of awareness of students' interest in reading, internalization of reading, and extension of reading. In this paper, we suggest supplementary materials of reading materials for expanding the high school textbooks, and explore the developmental relationship between textbooks and reading education through suggestions on aspects of textbook composition and teaching methods.

A Normalization Method to Utilize Brain Waves as Brain Computer Interface Game Control (뇌파를 BCI 게임 제어에 활용하기 위한 정규화 방법)

  • Sung, Yun-Sick;Cho, Kyung-Eun;Um, Ky-Hyun
    • Journal of Korea Game Society
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    • v.10 no.6
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    • pp.115-124
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    • 2010
  • In the beginning brain waves were used for monkeys to control robot arm with neural activity. In recent years there are research that measured brain waves are used for the control of programs which monitor the progression of dementia or enhance of attention in children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD). Moreover, low-price devices that can be used as a game control interface have become available. One of the problems associated with control using brain waves is that the mean amplitude, mean wavelength, and mean vibrational frequency of the brain waves differ from individual to individual. This paper attempts to propose a method to normalize measured brain waves using normal distribution and calculate the waveforms that can be used in controlling games. For this, a framework in which brain waves are converted in seven stages has been suggested. In addition, the estimation process in each stage has been described. In an experiment the waveforms of two subjects have been compared using the proposed method in the BCI English word learning program. The level of similarity between two subjects' waveforms has been compared with correlation coefficient. When the proposed method was applied, both meditation and concentration increased by 13% and 8%, respectively. Because the proposed regularization method is converted into a waveform fit for control functions by reducing personal characteristics reflected in the brain waves, it is fitting for application programs such as games.

Germanische Resonantengemination und Laryngaltheorie (게르만어의 공명음 중복현상과 후두음이론)

  • Jeon Soon-Hwan
    • Koreanishche Zeitschrift fur Deutsche Sprachwissenschaft
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    • v.5
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    • pp.1-22
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    • 2002
  • 본 논문의 목적은 게르만제어(예를들어 고트어, 고대북구어, 고고지독일어, 고대영어 등)에 나타나는 공명음중복 현상이 원-인도유럽어시기의 후두음에 기인함을 보이는 것이다. 고트어의 ddj/ggw, 고대북구어의 ggi/ggr, 고고지독일어 ij/uw (이상 소위 '예음화현상'으로 불림)와 그 외 게르만제어에 공통적으로 나타나는 공명음들의 중복, -rr-, -ll-, -nn-, -mm- 등은 원-게르만어시기에 각각 $\ast-ii-,\;\ast-uu-,\;\ast-rr-,\;\ast-ll-,\;\ast-nn-,\;\ast-mm-$ 등으로 소급된다. 그러나 이러한 자음군이 게르만어 이외의 다른 인도유럽어들( 대표적으로 고대인도이란어, 고전희랍어, 라전어 등)과 비교되어 원-인도유럽어시기로 소급되는 경우, 각각 $\ast-iH-,\;\ast-uH-,\;\ast-rH-,\;\ast-lH-,\;\ast-nH-,\;\ast-mH-$ 등으로 재구된다. 따라서 원-게르만어의 자음중복 현상이 후두음의 영향으로 나타난 것으로 해석되는데, 아마도 후두음이 선행하는 공명음에 동화되어 일어난 것으로 보인다. 소쉬르(1987)이래 발전해 온 후두음이론은 현재 그 이론적 틀을 확립한 상태이다. 이 이론은 고전 인도유럽어학에서 설명하지 못했던 여러 언어현상들을 설명하였고, 현대 인도유럽어 역사비교언어학에서 언어변화에 대한 필수적인 설명기재로서 사용되고 있다. 원-인도유럽어의 많은 특징들을 계승한 전형적인 다른 고대 인도유럽어들과는 달리, 시기적으로 늦은 고대 게르만어에서 음운론적 층위에서 공명음중복 현상이 후두음에 기인함은 인도유럽어 역사비교언어학에서 뿐만 아니라 게르만어학에서도 큰 의미를 갖는다고 볼 수 있다.간접으로 본동사 앞에 놓여 있어야 되는 모든 문장성분과 부문장 때문에, 즉 한국어의 전면적인 전위수식 현상으로 흔히 큰 부담/복잡함을 야기한다는 데에 그 원인이 있다. 이러한 상황에서 동사는 가능한 한 그의 문장성분을 줄이려 한다. 통사적으로 보장되어 이미 있으니 말이다. 그래서 한국어 동사의 부정성은 일종의 부담해소 대책으로 간주될 수 있을 것이다. $\ast$ 두 비교 대상에서의 핵 및 최소문장 가능성은 역시 원자가에 대한 비구속성에서 비롯된다. $\ast$ 우리 한국인이 빨리 말할 때 흔히 범하는 부정성으로 인한 인칭변화에서의 오류는 무엇보다도 정형성/제한성을 지닌 독일어 정동사가 인칭 변화하는 데 반해 한국어에서는 부정성/비구속성을 지닌 동사가 그것과는 무관한 페 기인한다. 동사의 속성을 철저히 분석함으로써 이런 과오를 극복해야 할 것이다. 한국어 동사의 부정성은 지금까지 거의 연구되지 않았다. 이 문제는 또한 지속적으로 수많은 다른 자연어들과의 비교분석을 통해 관찰돼야 할 것이다. 이 논문이 이런 연구와 언어습득을 위한 작업에 도움이 되기를 바란다.적 성분구조가 다르다는 것을 알 수 있다. 우리는 이 글이 외국어로서의 독일어를 배우는 이들에게 독일어의 관용구를 보다 올바르게 이해할 수 있는 방법론적인 토대를 제공함은 물론, (관용어) 사전에서 외국인 학습자를 고려하여 관용구를 알기 쉽게 기술하는 데 도움을 줄 수 있기를 바란다.되기 시작하면서 남황해 분지는 구조역전의 현상이 일어났으며, 동시에 발해 분지는 인리형 분지로 발달하게 되었다. 따라서, 올리고세 동안 발해 분지에서는 퇴적작용이, 남황해 분지에서는 심한 구조역전에 의한 분지변형이 동시에 일어났다 올리고세 이후 현재까지, 남황해

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The Influence and Impact of syntactic-grammatical knowledge on the Phonetic Outputs of a 'Reading Machine' (통사문법적 지식이 '독서기계'의 음성출력에 미치는 영향과 중요성)

  • Hong, Sungshim
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.225-230
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    • 2020
  • This paper highlights the influence and the importance of the syntactic-grammatical knowledge on "the reading machine", appeared in Jackendoff (1999). Due to the lack of the detailed testing and implementation in his research, this paper tests an extensive data array using a component of Google Translate, currently available freely and most widely on the internet. Although outdated, Jackendoff's paper, "Why can't Computers use English?", argues that syntactic-grammatical knowledge plays a key role in the outputs of computers and computer-based reading machines. The current research has implemented some testings of his thought-provoking examples, in order to find out whether Google Translate can handle the same problems after two decades or so. As a result, it is argued that in the field of NLP, I-language in the sense of Chomsky (1986, 1995 etc) is real and the syntactic, grammatical, and categorial knowledge is essential in the faculty of language. Therefore, it is reassured in this paper that when it comes to human language, even the most advanced "machine" is still no match for human faculty of language, the syntactic-grammatical knowledge.

ACLS Simulation Examination between Korean and American Paramedic students (한국과 미국 응급구조 학생간에 전문심장구조술 시뮬레이션 시험)

  • Lee, Christopher C.;Kim, Tae-Min
    • The Korean Journal of Emergency Medical Services
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    • v.13 no.3
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    • pp.71-76
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    • 2009
  • 서론(Introduction) : 의학 시뮬레이션(medical simulation)은 교육생 학습과정에서 내재된 위험이 환자에게 가해짐 없이 교육생이 실제적인 환자 상황을 경험할 수 있게 하고 여러 다양한 임상내용이 포함한 상황에 적용될 수 있다. 시뮬레이션 기술의 사용은 의학교육(medical education), 인증서(certification), 면허교부(Licensure)와 의료의 질 형성에 큰 잠재력을 가지고 있다. 복강경 수술, 내시경검사, 전문심장구조술, 응급기도관리와 외상소생을 포함한 다양한 임상시술의 수행에서 시뮬레이션이 교육생의 술기를 달성하고, 측정하고, 유지하는 유효성을 증명하였다 컴퓨터로 조절되는 시뮬레이터는 맥박, 혈압, 호흡, 대화가 가능하고, 중증질환 또는 외상환자의 치료에 필요한 같은 인명구조 시술을 수행할 수 있다. 의학 시뮬레이션은 의사, 간호사, 응급구조사와 응급 진료를 필요로 하는 환자를 치료하는 사람에게 필요하다. 최신 전문심장구조술 과정수업은 전통적인 강의와 제한된 팀 상호작용이 포함된 이틀 과정이다. 우리는 비 영어권 국제 응급구조학생의 전문심장구조술 술기능력을 알아보고, 그것을 미국 응급구조학생과 비교하고자 한다. 목적(Objective) : 이 연구의 목적은 다양한 전문심장구조술 증례 시나리오를 가진 의학 시뮬레이터를 이용하여 미국과 한국의 응급구조 학생의 능력을 비교하는 것이다. 시행 장소(Site Location) : 이 연구는 한국 제주도에 위치한 제주한라대학 스토니브룩 응급의료교육원에서 진행되었다. 학생들의 평가는 스토니브룩에 위치한 스토니브룩 대학 의료원의 한 명의 평가자(Dr. lee)에 의해 수행되었다. 방법(Methods) : 15명의 한국 응급구조학생들은 세 팀으로 무작위로 선정하였다. 5명이 한 팀이 되어 같은 증례의 시나리오를 받았다. 세 가지 시나리오는 : 첫째, 천식지속상태(Status asthmaticus), 둘째, 긴장기흉을 동반한 만성폐쇄성폐질환(COPD with tension penumothorax) 그리고 마지막으로 메가코드(megacode)를 가진 심정지 이다. 세 팀을 각각 그리고 기본인명구조술(BLS)과 전문심장구조술(ACLS)과정을 마친 미국 응급구조학생들과 비교하였다. 15명의 미국 응급구조학생들 또한 세 팀으로 무작위로 선정하였다. 이 응급구조 학생들은 플러싱병원 의료원 소속으로 그곳에서 이 연구에 참여할 뿐만 아니라 지속적인 의학교육(CME)이수를 받았다. 이들에게도 같은 세 가지 증례의 시나리오가 주어졌고 Dr lee는 총 여섯 팀을 평가하였다(한국 세 팀과 미국 세팀). 결과(Results) : 양 국가의 모든 15명의 학생이 의학시뮬레이터를 사용하여 전문심장구조술 메가코드시험을 포함한 시험에 모두 통과하였다. 비록 학생들을 무작위로 세 팀으로 나누었지만 한 팀이 이 모든 세 증례에서 다른 팀보다 뛰어났다. 제주한라대학 2번 팀은 더 나은 기도관리, 리듬인식과 임상술기를 가진 모든 중요한 활동을 얻기에서 우수했다. 그들은 핵심요구사항을 90% 이상 충족시겼다. 한국의 2번팀(G2K)은 메가코드에서 기도개방, 호흡평가, 순환징후 그리고 흉부압박수와 같은 신체검진 술기에서도 탁월했다. 게다가 다른 팀과 비교 시 리듬인식, 약물지식과 임상술기에서도 높은 점수를 받았으며 2번팀(G2K)이 6팀 중에 가장 뛰어나게 역활수행을 하였다. 결론(Conclusion) : 이 비교 연구에서 한국학생과 미국학생간에 전문심장구조술 메가코드 시험의 통과율에는 차이가 없었다. 그러나 미국학생은 세 팀 사이에 더 적은 변이로 더 일괄된 점수를 받았다. 한국학생들도 모든 세 가지 증례를 통과하였지만 이 세 팀은 미국학생 팀보다 점수에서 더 큰 변이를 보였다.

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