• Korean Journal of English Language and Linguistics
• /
• v.3 no.4
• /
• pp.571-588
• /
• 2003

The purpose of this study is to investigate into the various ways that the computer technology is used for language testing. Three uses of computer technology are mentioned: 1) computer-adaptive language testing and computer-based language testing, 2) the scoring of performance-based language assessment, and 3) the development and use of psychometric tools for analyzing the scoring results. Although the various uses of computer technology could provide expanded possibilities for language testing development, the developers should be reminded that they are currently subject to indepth research which could support their validity. In this regard, the advantages and limitations of some uses of computer technology for language testing are discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.4 no.4
• /
• pp.595-617
• /
• 2010

This paper proposes a novel of a personalized Computer Assisted Language Learning (CALL) system based on learner's cognitive abilities related to foreign language proficiency. In this CALL system, a strategy of retrieval learning, a method of learning memory cycle, and a method of repeated learning are applied for effective vocabulary memorization. The system is designed to offer personalized learning based on cognitive abilities related to the human language process. For this, the proposed CALL system has a cognitive diagnosis module which can measure five types of cognitive abilities. The results of this diagnosis are used to create dynamic learning scenarios for personalized learning and to evaluate user performance in the learning. This system is also designed in order to have users be able to create learning word lists and to share them simply with various functions based on open APIs. Additionally, through experiments, it has shown that this system helps students to learn English vocabulary effectively and enhances their foreign language skills.

• Journal of information and communication convergence engineering
• /
• v.22 no.1
• /
• pp.33-43
• /
• 2024

Automated text summarization (ATS) systems rely on language resources as datasets. However, creating these datasets is a complex and labor-intensive task requiring linguists to extensively annotate the data. Consequently, certain public datasets for ATS, particularly in languages such as Thai, are not as readily available as those for the more popular languages. The primary objective of the ATS approach is to condense large volumes of text into shorter summaries, thereby reducing the time required to extract information from extensive textual data. Owing to the challenges involved in preparing language resources, publicly accessible datasets for Thai ATS are relatively scarce compared to those for widely used languages. The goal is to produce concise summaries and accelerate the information extraction process using vast amounts of textual input. This study introduced ThEconSum, an ATS architecture specifically designed for Thai language, using economy-related data. An evaluation of this research revealed the significant remaining tasks and limitations of the Thai language.

• International Journal of Computer Science & Network Security
• /
• v.22 no.8
• /
• pp.55-60
• /
• 2022

Specific Language Impairment is one of the serious disorders that interferes with spontaneous communication skills in children. Children suffering from this disorder may have reading, speaking, or listening impairments, and such type of disorders are also termed Autism Speech Disorder (ASD) in medical terminology. The aim of the article is to define specific language impairment in children and the problems it can cause. The different methods adopted by speech pathologists to diagnose language impairment. Finally implementing machine learning models to automate the process and help speech pathologists and pediatricians/ in diagnosing the specific language impairment.

• Annual Conference on Human and Language Technology
• /
• 2003.10d
• /
• pp.47-53
• /
• 2003

본 논문은 정제된 대용량 말뭉치로부터 얻은 음절 n-gram과 어절 통계를 이용한 한국어 자동 띄어쓰기 시스템을 제안한다. 한 문장 내에서 최적의 띄어쓰기 위치는 Viterbi 알고리즘에 의해 결정된다. 통계 기반 연구에 고유한 문제인 데이터 부족 문제, 학습 말뭉치 의존 문제를 개선하기 위하여 말뭉치를 확장하고 실험을 통해 얻은 매개변수를 사용하고 최장 일치 Viable Prefix를 찾아 어절 목록에 추가한다. 본 연구에 사용된 학습 말뭉치는 33,641,511어절로 구성되어 있으며 구어와 문어를 두루 포함한다.

• Annual Conference on Human and Language Technology
• /
• 1998.10c
• /
• pp.105-110
• /
• 1998

SGML/XML은 임의 형태 문서, 임의 응용에 대해 일반화 마크업을 정의하기 위한 방법을 기술하는 메타언어이다. 즉 문서의 작성시에 고려되는 문서의 논리적 정보를 표현 가능하다. 이러한 논리적 구분을 이용하여 정보사용자에게 좀 더 정확한 검색을 제공할 수 있다. SGML/XML을 이용하여 표현된 계층적 논리정보를 이용하여 다양한 문서 접근점을 제공할 수 있으며, 문서의 재사용 및 동적인 문서제시를 가능케 한다. 본 논문에서는 SGML/XML 정보검색의 장점과 이러한 시스템을 구현하기 위한 구현 단계 및 구성요소를 알아보고자 한다. 아울러 구현사례로 STEER-SGML/XML 검색 시스템을 알아본다.

• Journal of the Korea Society of Computer and Information
• /
• v.22 no.8
• /
• pp.101-106
• /
• 2017

In this paper, we propose a new teaching-learning model with two-step feedback on programming language learning, which is a basic preliminary learning for programming. Programming learning is aimed at improving problem solving skills and thinking by experiencing problem solving through programming. For programming, the learner must know how to work with the computer and what to do with it. To do this, concrete thinking should be established and described in an accurate programming language. In recent, most studies have focused on the effects of programming learning and have not studied the effects of education on language itself. Therefore, in this study, the teaching-learning model for programming language education is presented and applied to the field, and the results are compared with the existing instructional-teaching model.

• Journal of the Korea Society of Computer and Information
• /
• v.24 no.2
• /
• pp.185-192
• /
• 2019

In the case of a hearing impaired person using sign language, there are many difficulties in communicating with a normal person who does not understand sign language. The sign language translation system is a system that enables communication between the hearing impaired person using sign language and the normal person who does not understand sign language in this situation. Previous studies on sign language translation systems for communication between normal people and hearing impaired people using sign language are classified into two types using video image system and shape input device. However, the existing sign language translation system does not solve such difficulties due to some problems. Existing sign language translation systems have some problems that they do not recognize various sign language expressions of sign language users and require special devices. Therefore, in this paper, a sign language translation system using an artificial neural network is devised to overcome the problems of the existing system.

• Journal of Engineering Education Research
• /
• v.15 no.3
• /
• pp.66-71
• /
• 2012

In this paper, we try to explore basic factors that defines easy-to-learn programming language and easy-to-learn development environments for novice students who have not been exposed to computer programming language education. For these purpose, we investigate and analyze computer programming languages that are widely used in industrial environments, and present the summary and analyzed results. From the experimental results, most novice programmers understand computer programming languages in terms of procedural programming languages rather than in terms of functional programming languages or object oriented programming languages. Furthermore, we have found that, for effective education of basic level programming languages, factors of development environments are much more important than factors of programming paradigms that the computer programming languages are based on.

• International Journal of Computer Science & Network Security
• /
• v.24 no.3
• /
• pp.211-223
• /
• 2024

Chatbots have become very popular in our times and are used in several fields. The emergence of chatbots has created a new way of communicating between human and computer interaction. A Chatbot also called a "Chatter Robot," or conversational agent CA is a software application that mimics human conversations in its natural format, which contains textual material and oral communication with artificial intelligence AI techniques. Generally, there are two types of chatbots rule-based and smart machine-based. Over the years, several chatbots designed in many languages for serving various fields such as medicine, entertainment, and education. Unfortunately, in the Arabic chatbots area, little work has been done. In this paper, we developed a beneficial tool (chatBot) in the Arabic language which contributes to educating people about the Prophet's biography providing them with useful information by using Natural Language Processing.