• Title/Summary/Keyword: National Language

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Linguistic and Cultural Foundations of in-Depth Study of the National Language at School

  • Vitalii Kononenko;Yana Ostapchuk;Oktaviia Fizeshi;Iryna Humeniuk;Iryna Rozman
    • International Journal of Computer Science & Network Security
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    • v.23 no.12
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    • pp.220-224
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    • 2023
  • The main purpose of the study is to analyze the linguoculturological foundations of in-depth study of the national language. The new requirements facing a modern teacher, his training and professional qualities make it necessary to take into account the experience and latest achievements of other countries in the field of educational policy, in particular, in the field of teaching foreign languages, as well as to identify and overcome negative ones. Based on the results of the study, the key linguoculturological foundations of in-depth study of the national language were characterized.

An Investigation of Robot Programming Language with the Capabilities of Sensory Information Processing (센서 정보 처리 기능을 갖는 로보트 프로그램밍 언어에 관한 조사)

  • Kim, Dae-Won;Ko, Myoun-Sam;Lee, Bum-Hee
    • Proceedings of the KIEE Conference
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    • 1987.11a
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    • pp.435-438
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    • 1987
  • In this paper, among the robot programming languages that enable processing of sensory information, eight exemplary languages are chosen, and investigated in terms of their characteristics, why they are designed the way they are, and the kind of sensors each language can use and apply to. In addition, the characteristics of each language is compared with one another from the sensor point of view and the flow of each language is analyzed from the robot language classification point of view. Finally, We investigate the progress and the requirements of the sensor-based robot programming languages for further developments.

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Utilizing Large Language Models for Non-trained Binary Sentiment Classification (거대 언어 모델(LLM)을 이용한 비훈련 이진 감정 분류)

  • Hyungjin Ahn;Taewook Hwang;Sangkeun Jung
    • Annual Conference on Human and Language Technology
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    • 2023.10a
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    • pp.66-71
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    • 2023
  • ChatGPT가 등장한 이후 다양한 거대 언어 모델(Large Language Model, LLM)이 등장하였고, 이러한 LLM을 목적에 맞게 파인튜닝하여 사용할 수 있게 되었다. 하지만 LLM을 새로 학습하는 것은 물론이고, 단순 튜닝만 하더라도 일반인은 시도하기 어려울 정도의 많은 컴퓨팅 자원이 필요하다. 본 연구에서는 공개된 LLM을 별도의 학습 없이 사용하여 zero-shot 프롬프팅으로 이진 분류 태스크에 대한 성능을 확인하고자 했다. 학습이나 추가적인 튜닝 없이도 기존 선학습 언어 모델들에 준하는 이진 분류 성능을 확인할 수 있었고, 성능이 좋은 LLM의 경우 분류 실패율이 낮고 일관적인 성능을 보여 상당히 높은 활용성을 확인하였다.

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Language Anxieties Second Language Learning

  • Park, Seon-Ho
    • Korean Journal of English Language and Linguistics
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    • v.2 no.3
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    • pp.373-401
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    • 2002
  • It is often observed that Korean migrant students overseas experience various kinds of anxieties learning English as a second language although they are in an English-speaking country like New Zealand. The context of learning English as a second language is explored by examining language anxieties experienced by recent Korean migrant students in New Zealand. 177 students were surveyed using questionnaires asking their anxieties over various contexts of English learning processes. The three stages of language anxiety of Input, Processing, and Output showed that there were some degrees of anxiety among the students at each stage depending on their ages, age at migration, and duration of residence, in particular. Students tended to experience more language anxiety in school than outside the school. It was also clear that students were experiencing more anxieties with English than with Korean in the four language skills of speaking, listening, reading and writing. Writing was commonly found in English and Korean to be the most frequent source of anxiety among the four language skills. Some implications from the results are suggested for parents, teachers, and students.

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2018 Korean Information Processing System Competition: Korean Dependency Parsing (2018 국어 정보 처리 시스템 경진 대회: 한국어 의존 구문 분석)

  • Lee, Changki;Bae, Jangseong;Park, Cheoneum;Hong, Hyejin;Lee, Seung-Jae
    • Annual Conference on Human and Language Technology
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    • 2018.10a
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    • pp.675-677
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    • 2018
  • 의존 구문 분석은 문장 구조를 중심어와 수식어로 이루어진 의존 관계로 표현하는 방법이다. 표현 방식이 간단하고 자유 어순에 적합하기 때문에 한국어와 같이 어순이 자유롭고 문장 성분의 생략이 빈번한 언어에 적합한 것으로 알려져 있다. 본 논문에서는 한국어 의존 구문 분석 연구를 활성화하기 위해 개최된 2018 국어 정보 처리 시스템 경진대회에서 사용된 학습 및 평가 데이터를 간략히 소개하고, 각 참가자들이 제출한 시스템의 결과를 요약한다.

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On Directions for the Revision of Language Forms Listed in the 2007 Korean English Curriculum

  • Lee, Hyun-Oo
    • English Language & Literature Teaching
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    • v.17 no.2
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    • pp.39-58
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    • 2011
  • This study highlights some very important future directions for the revision of language forms in the 2007 Korean English Curriculum, expected to be made public in the summer of 2011. A critical review of the 2007 National English Curriculum shows that language forms exemplified in that curriculum are not well-chosen or well-sequenced from the viewpoint of grammar selection and gradation, and that no mention of structural labels or grammatical terminologies makes it hard for teachers to recognize their formal properties. To fulfill the original purpose that languages should be listed in the curriculum so that functional-notional syllabuses can be complemented by form-focused instruction, the study presents partial inventories of grammatical items with well-chosen and well-sequenced examples. Minimal descriptions are given to these inventories that are based on general notions or well-known grammatical notions. Occasional suggestions are also made for which language forms should be taught in which schools.

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TCP/IP communication between LabVIEW and C language for Smart Grid Monitoring System (C 언어로 구현된 스마트 그리드 모니터링 시스템을 위한 LabVIEW와 C 언어의 TCP/IP통신)

  • Kim, Jueun;Choi, Nam-Sup;Yang, Hyo-Sik;Han, Byung-Moon
    • Proceedings of the KIPE Conference
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    • 2010.11a
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    • pp.359-360
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    • 2010
  • In smart grid system which uses photovoltaic system, fuel cells and so on, a program implemented with C language is used for control and measurement. When using programs implemented with C language GUI is difficult to watch control and monitor the smart grid system. But LabVIEW is a graphical programming language and it is easy to design GUI screen and to manage many variables such as real-time output of electric power including solar cell, wind power system and fuel cell. This paper suggests LabVIEW and C-language TCP/IP communication for smart grid monitoring system i mplemented with C-language.

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Corpus of Eye Movements in L3 Spanish Reading: A Prediction Model

  • Hui-Chuan Lu;Li-Chi Kao;Zong-Han Li;Wen-Hsiang Lu;An-Chung Cheng
    • Asia Pacific Journal of Corpus Research
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    • v.5 no.1
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    • pp.23-36
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    • 2024
  • This research centers on the Taiwan Eye-Movement Corpus of Spanish (TECS), a specially created corpus comprising eye-tracking data from Chinese-speaking learners of Spanish as a third language in Taiwan. Its primary purpose is to explore the broad utility of TECS in understanding language learning processes, particularly the initial stages of language learning. Constructing this corpus involves gathering data on eye-tracking, reading comprehension, and language proficiency to develop a machine-learning model that predicts learner behaviors, and subsequently undergoes a predictability test for validation. The focus is on examining attention in input processing and their relationship to language learning outcomes. The TECS eye-tracking data consists of indicators derived from eye movement recordings while reading Spanish sentences with temporal references. These indicators are obtained from eye movement experiments focusing on tense verbal inflections and temporal adverbs. Chinese expresses tense using aspect markers, lexical references, and contextual cues, differing significantly from inflectional languages like Spanish. Chinese-speaking learners of Spanish face particular challenges in learning verbal morphology and tenses. The data from eye movement experiments were structured into feature vectors, with learner behaviors serving as class labels. After categorizing the collected data, we used two types of machine learning methods for classification and regression: Random Forests and the k-nearest neighbors algorithm (KNN). By leveraging these algorithms, we predicted learner behaviors and conducted performance evaluations to enhance our understanding of the nexus between learner behaviors and language learning process. Future research may further enrich TECS by gathering data from subsequent eye-movement experiments, specifically targeting various Spanish tenses and temporal lexical references during text reading. These endeavors promise to broaden and refine the corpus, advancing our understanding of language processing.