• Journal of Engineering Education Research
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• v.13 no.3
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• pp.53-60
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• 2010

This article explores how we pursue and operate the English medium instruction(EMI) in engineering colleges so as to educate global engineers. Engineering students in the 21st century society need to have fundamental work in languages, cultural differences, and strategies for working with diverse colleagues. EMI is not sufficient for preparing our engineering students to cope with the changed environments in our globalized society. Based on the case study, we emphasize that EMI needs to be located in the context of global engineering education which demands our understanding of different cultures and communication practices. We also suggest some programs how we develop our EMI circumstances.

• ETRI Journal
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• v.25 no.4
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• pp.219-230
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• 2003

This paper describes a rule-based approach for syntactic disambiguation used by the English sentence parser in E-TRAN 2001, an English-Korean machine translation system. We propose Parser's Ambiguity Type Information (PATI) to automatically identify the types of ambiguities observed in competing candidate trees produced by the parser and synthesize the types into a formal representation. PATI provides an efficient way of encoding knowledge into grammar rules and calculating rule preference scores from a relatively small training corpus. In the overall scoring scheme for sorting the candidate trees, the rule preference scores are combined with other preference functions that are based on statistical information. We compare the enhanced grammar with the initial one in terms of the amount of ambiguity. The experimental results show that the rule preference scores could significantly increase the accuracy of ambiguity resolution.

• Industrial Engineering and Management Systems
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• v.3 no.1
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• pp.85-91
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• 2004

The writing styles of TIME and Newsweek are analyzed using a specially developed linguistic program. These two news magazines were chosen because of their wide popularity. As for the results, it became obvious that both the frequency curve of words and that of characters have not changed for the past 60 years. Also, we have found that the frequency curves have some inflection points and that the genre of English writings can be identified by these points. After counting the percentage of required vocabulary for junior high school students and high school students in English writings, we can derive the relative difficulties of them using fuzzy reasoning. Fuzzy rules are constructed using features of the characteristic curves. We feel it would be a good guide index when selecting textbooks or supplementary readers.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.6
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• pp.11-18
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• 2005

In this paper, English pronunciation system and the methods of its notations which is used in the internet web sites or in electronic English dictionaries are analyzed and new font table and its key layout are presented to input it efficiently. By using this method, English pronunciation can be inputted to the spreadsheets, databases and presentations as well as word-processors, and each application program's data can have compatibility. Furthermore, it can have compatibility within another type of computers and increase inputting speed. In the result of experiments, every data can have the compatibility in all of application programs and inputting speed is increased highly compare with using the pre-existing functions of word-processors.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.426-435
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• 2021

This study aims to functionally classify lexical bundles appearing in academic papers on nuclear science and engineering written in English and then analyze the lexical bundles' characteristics compared to those appearing in general academic papers. To this end, the texts of nuclear science and engineering papers were collected and produced as a corpus(c. 1 mil. tokens). Then they were statistically compared through Chi-square tests and standardized residuals with the corpus of general academic papers(c. 750,000 tokens). The results revealed that, compared to general academic papers, the bundles in the stance lexical bundle category were mainly used among the functional lexical bundle in nuclear science and engineering. The use of the lexical bundles lacked much variety. The same type of lexical bundles was 're-used' and 'recycled'. Based on these research results, educational implications for English for Academic Purposes and the further direction of follow-up research were discussed and suggested.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.9
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• pp.381-388
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• 2014

In this paper, we deal with implementation issues of an unknown word classifier for middle-school level English writing test. We define the type of unknown words occurred in English text and discuss the detection process for unknown words. Also, we define the type of swear words occurred in students's English writings, and suggest how to handle this type of words. We implement an unknown word classifier with a swear detection module for developing an automatic English writing scoring system. By experiments with actual test data, we evaluate the accuracy of the unknown word classifier as well as the swear detection module.

• Journal of Advanced Marine Engineering and Technology
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• v.37 no.7
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• pp.760-770
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• 2013

Detecting grammatical errors from a text is a long-history application. In this paper, we compare the performance of two grammatical error detection techniques, which are implemented as a sub-module of an automated English scoring system. One is to use a full syntactic parser, which has not only grammatical rules but also extra-grammatical rules in order to detect syntactic errors while paring. The other one is to use a finite state machine which can identify an error covering a small range of an input. In order to compare the two approaches, grammatical errors are divided into three parts; the first one is grammatical error that can be handled by both approaches, and the second one is errors that can be handled by only a full parser, and the last one is errors that can be done only in a finite state machine. By doing this, we can figure out the strength and the weakness of each approach. The evaluation results show that a full parsing approach can detect more errors than a finite state machine can, while the accuracy of the former is lower than that of the latter. We can conclude that a full parser is suitable for detecting grammatical errors with a long distance dependency, whereas a finite state machine works well on sentences with multiple grammatical errors.

• Journal of information and communication convergence engineering
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• v.8 no.3
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• pp.328-332
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• 2010

Filipino language is an Austronesian language based on numerous native languages with influences from other major languages such as English and Spanish. The Filipino alphabet is consists of 26 English alphabets, with the addition of two letters, "$\tilde{n}$" and "ng", a total of 28 letters. Filipino language expressions and sentences are still incomparable to English and Spanish even though there are numerous borrowed words from these languages. This study aims to discover the uniqueness in the Filipino language by identifying the frequencies of the letters in common words used and be able to introduce a revolutionary keypad for the Filipinos which is scientifically efficient. To compare the efficiency of the revised and the original keypad, computations using Fitts' Law, Hick-Hyman Law and KSPC were done. Results showed that the new keypad layout was more effective than the original keypad. Introducing a improvised keypad to the Filipinos is one step closer in achieving customized services and features to Filipinos in mobile computing.

• Journal of Engineering Education Research
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• v.18 no.3
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• pp.33-38
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• 2015

Engineering education accreditation, such as by ABEEK in Korea or ABET in USA, centers around outcomes-based education (OBE). Outcomes are the abilities or competencies which students are expected to achieve by the time of graduation. Engineering programs must design the curriculum, educate their students, and assess the performance of them in accordance with the program outcomes. Consequently, sound understanding of the program outcomes is crucial to the successful implementation of OBE. Most of the 12 outcomes of ABEEK KEC2005 criteria came from ABET criteria written in English. It means that, apart from sound understanding of the outcomes, we need to care about the correct translation of the ABET outcomes from English to Korean. The translation of them as in KEC2005, however, leaves something to be desired. This paper tries to present the correct translation of some program outcomes as well as sound understanding of a few outcomes difficult to define.

• The Transactions of the Korea Information Processing Society
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• v.4 no.1
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• pp.184-194
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• 1997

In the recent years number of commercial off-line character recognition systems have been appeared in the Korean market. This paper describes a "self -organizing" data structure for representing a large dictionary which can be searched in real time and uses a practical amount of memory, and presents a study on the character correction for off-line printed sentence marks, Japanese, English, and Chinese character recognition. Self-organizing algorithm can be recommenced as particularly appropriate when we have reasons to suspect that the accessing probabilities for individual words will change with time and theme. The wrongly recognized characters generated by OCR systems are collected and analyzed Error types of English characters are reclassified and 0.5% errors are corrected using an English character confusion table with a self-organizing dictionary containing 25,145 English words. And also error types of Chinese characters are classified and 6.1% errors are corrected using a Chinese character confusion table with a self-organizing dictionary carrying 34,593 Chinese words.ese words.