• 제목/요약/키워드: National Language

검색결과 3,207건 처리시간 0.028초

Digital Technologies for Learning a Foreign Language in Educational Institutions

  • Olha Byriuk;Tetiana Stechenko;Nataliya Andronik;Oksana Matsnieva;Larysa Shevtsova
    • International Journal of Computer Science & Network Security
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    • 제24권5호
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    • pp.89-94
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    • 2024
  • The main purpose of the study is to determine the main elements of the use of digital technologies for learning a foreign language in educational institutions. The era of digital technologies is a transition from the traditional format of working with information to a digital format. This is the era of the total domination of digital technologies. Digital technologies have gained an unprecedented rapid and general distribution. In recent years, all spheres of human life have already undergone the intervention of digital technologies. Therefore, it is precisely the educational industry that faces a difficult task - to move to a new level of education, where digital technologies will be actively used, allowing you to conveniently and quickly work in the information field for more effective learning and development. The study has limitations and they relate to the fact that the practical activities of the process of using digital technologies in the system of preparing the study of a foreign language were not taken into account.

소아에서 말 언어장애 (Speech and language disorders in children)

  • 정희정
    • Clinical and Experimental Pediatrics
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    • 제51권9호
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    • pp.922-934
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    • 2008
  • Developmental language disorder is the most common developmental disability in childhood, occurring in 5-8% of preschool children. Children learn language in early childhood, and later they use language to learn. Children with language disorders are at increased risk for difficulties with reading and written language when they enter school. These problems often persist through adolescence or adulthood. Early intervention may prevent the more serious consequences of later academic problems, including learning disabilities. A child's performance in specific speech and language areas, such as phonological ability, vocabulary comprehension, and grammatical usage, is measured objectively using the most recently standardized, norm-referenced tests for a particular age group. Observation and qualitative analysis of a child's performance supplement objective test results are essential for making a diagnosis and devising a treatment plan. Emphasis on the team approach system in the evaluation of children with speech and language impairments has been increasing. Evidence-based therapeutic interventions with short-term, long-term, and functional outcome goals should be applied, because there are many examples of controversial practices that have not been validated in large, controlled trials. Following treatment intervention, periodic follow-up monitoring by a doctor is also important. In addition, a systematized national health policy for children with speech and language disorders should be provided.

Co-Interpretation Network in English Discourse

  • Yibin, Ni
    • 한국언어정보학회:학술대회논문집
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    • 한국언어정보학회 1998년도 Language, Information and Computation = Selected Papers from the 12th Pacific Asia Conference on Language, Information and Computation, Singapore
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    • pp.139-151
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    • 1998
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Document Ranking Method for High Precision Rate

  • Jeon, Mee-Sun
    • 한국언어정보학회:학술대회논문집
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    • 한국언어정보학회 1995년도 Language, Information and Computation = Proceedings of the 10th Pacific Asia Conference, Hong Kong
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    • pp.255-260
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    • 1995
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Natural Language Explanations 에 기반한 한국어 자연어 추론 (Korean Natural Language Inference with Natural Langauge Explanations)

  • 윤준호;나승훈
    • 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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    • 한국정보과학회언어공학연구회 2022년도 제34회 한글 및 한국어 정보처리 학술대회
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    • pp.170-175
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    • 2022
  • 일반적으로 대규모 언어 모델들은 다량의 데이터를 오랜시간 사전학습하면서 레이블을 예측하기 위한 성능을 높여왔다. 최근 언어 모델의 레이블 예측에 대한 정확도가 높아지면서, 언어 모델이 왜 해당 결정을 내렸는지 이해하기 위한 신뢰도 높은 Natural Language Explanation(NLE) 을 생성하는 것이 시간이 지남에 따라 주요 요소로 자리잡고 있다. 본 논문에서는 높은 레이블 정확도를 유지하면서 동시에 언어 모델의 예측에 대한 신뢰도 높은 explanation 을 생성하는 참신한 자연어 추론 시스템을 제시한 Natural-language Inference over Label-specific Explanations(NILE)[1] 을 소개하고 한국어 데이터셋을 이용해 NILE 과 NLE 를 활용하지 않는 일반적인 자연어 추론 태스크의 성능을 비교한다.

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Chain-of-Thought와 Program-aided Language Models을 이용한 전제-가설-라벨 삼중항 자동 생성 (Generating Premise-Hypothesis-Label Triplet Using Chain-of-Thought and Program-aided Language Models)

  • 조희진;이창기;배경만
    • 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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    • 한국정보과학회언어공학연구회 2023년도 제35회 한글 및 한국어 정보처리 학술대회
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    • pp.352-357
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    • 2023
  • 자연어 추론은 두 문장(전제, 가설)간의 관계를 이해하고 추론하여 함의, 모순, 중립 세 가지 범주로 분류하며, 전제-가설-라벨(PHL) 데이터셋을 활용하여 자연어 추론 모델을 학습한다. 그러나, 새로운 도메인에 자연어 추론을 적용할 경우 학습 데이터가 존재하지 않거나 이를 구축하는 데 많은 시간과 자원이 필요하다는 문제가 있다. 본 논문에서는 자연어 추론을 위한 학습 데이터인 전제-가설-라벨 삼중항을 자동 생성하기 위해 [1]에서 제안한 문장 변환 규칙 대신에 거대 언어 모델과 Chain-of-Thought(CoT), Program-aided Language Models(PaL) 등의 프롬프팅(Prompting) 방법을 이용하여 전제-가설-라벨 삼중항을 자동으로 생성하는 방법을 제안한다. 실험 결과, CoT와 PaL 프롬프팅 방법으로 자동 생성된 데이터의 품질이 기존 규칙이나 기본 프롬프팅 방법보다 더 우수하였다.

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Auditory language task를 이용한 자기공명영상에 관한 고찰 : Visual language task와의 비교 (Functional MR Imaging in the speech-control centers of the brain : Comparison study between Visual and Auditory Language instrument methods in Normal Volunteers)

  • 구은회;김인수;정헌정;유병기;김동성;최천규;송인찬
    • 대한방사선협회지
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    • 제28권1호
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    • pp.161-166
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    • 2002
  • Purpose: To make a comparison evaluated of the auditory instrument and visual instrument language generation task in the fMRI, on the adult volunteers. Materials and Methods: Total of 6 normal adult volunteers(men;4, women;2, mean age;24) performed in 1.5

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MI-Trigger-Based Language Modelling

  • Zhou, Guodong;Lua, Kim-Teng
    • 한국언어정보학회:학술대회논문집
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    • 한국언어정보학회 1998년도 Language, Information and Computation = Selected Papers from the 12th Pacific Asia Conference on Language, Information and Computation, Singapore
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    • pp.195-205
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    • 1998
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Development of Sensibility Vocabulary Classification System for Sensibility Evaluation of Visitors According to Forest Environment

  • Lee, Jeong-Do;Joung, Dawou;Hong, Sung-Jun;Kim, Da-Young;Park, Bum-Jin
    • 인간식물환경학회지
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    • 제22권2호
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    • pp.209-217
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    • 2019
  • Generally human sensibility is expressed in a certain language. To discover the sensibility of visitors in relation to the forest environment, it is first necessary to determine their exact meanings. Furthermore, it is necessary to sort these terms according to their meanings based on an appropriate classification system. This study attempted to develop a classification system for forest sensibility vocabulary by extracting Korean words used by forest visitors to express their sensibilities in relation to the forest environment, and established the structure of the system to classify the accumulated vocabulary. For this purpose, we extracted forest sensibility words based on literature review of experiences reported in the past as well as interviews of forest visitors, and categorized the words by meanings using the Standard Korean Language Dictionary maintained by the National Institute of the Korean Language. Next, the classification system for these words was established with reference to the classification system for vocabulary in the Korean language examined in previous studies of Korean language and literature. As a result, 137 forest sensibility words were collected using a documentary survey, and we categorized these words into four types: emotion, sense, evaluation, and existence. Categorizing the collected forest sensibility words based on this Korean language classification system resulted in the extraction of 40 representative sensibility words. This experiment enabled us to determine from where our sensibilities that find expressions in the forest are derived, that is, from sight, hearing, smell, taste, or touch, along with various other aspects of how our human sensibilities are expressed such as whether the subject of a word is person-centered or object-centered. We believe that the results of this study can serve as foundational data about forest sensibility.