• Journal of Navigation and Port Research
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• v.40 no.5
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• pp.279-284
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• 2016

As the International Maritime English Organization (IMO) model course for Maritime English has been recently revised and updated, the requirements of current changes to both the 2010 STCW Manila Amendments and English education have been actively reviewed. In order to provide practical guidelines for language teaching, a wide range of new pedagogical approaches and their theoretical backgrounds are also suggested. However, considering the current spread of Business English as a Lingua Franca (BELF) and its critical importance in maritime communication, the pedagogical approaches need to be re-evaluated, specifically in terms of teaching pronunciation in order to emphasize clear and effective communication among international interlocutors. Therefore, the core pedagogical elements of pronunciation should be clearly set and provided with consideration for Lingua Franca Core (LFC), which places importance on mutual intelligibility rather than following the rules of native speakers. In this paper, the current trends of BELF in the maritime industry will thus be introduced. Following this, the importance of LFC in maritime communication will be outlined, and its key features will be discussed in terms of effectiveness and clarity of international maritime communications. Finally, a close comparison between LFC and the pronunciation guidelines suggested by the IMO Maritime English model course 3.17 will be conducted, and pedagogical implications for future teaching pronunciation in cross-cultural global maritime industry will be suggested.

• Journal of Korean language education
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• v.28 no.1
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• pp.251-268
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• 2017

This study is based on differences of syllable type between Korean and Chinese language pronunciation. For example, Nasal consonant ending 【n】 and 【${\eta}$】 reside in both Korean and Chinese phonetics simultaneously. However, in experiential training, Chinese learners will make errors in pronunciation of the Korean syllable nasal consonant ending like 【n】 and 【${\eta}$】. In the previous research, analysis of pronunciation errors were often based on the perspective of phonological system and combination of the phoneme rules. However, in this study, the analysis is based on the differences between Korean and Chinese syllables category to indicate the cause of pronunciation errors. The main findings of this study indicated that in the process of pronunciation of Chinese, nasal consonant syllable rime and its 【back】 tongue vowel are combined with each other. However, this rule does not apply in Korean pronunciation. Therefore, the Korean syllabic types like "앤, 응, 옹, 앵, 은, 온, 언" also exist in the Chinese language. When theChinese learners pronounce these types of syllables, the combination of the voweland nasal syllable rime rule will be taken, which will result in pronunciationerrors.

• The Journal of the Acoustical Society of Korea
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• v.20 no.2
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• pp.35-43
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• 2001

Many speech recognition systems have used pronunciation lexicon with possible multiple phonetic transcriptions for each word. The pronunciation lexicon is of often manually created. This process requires a lot of time and efforts, and furthermore, it is very difficult to maintain consistency of lexicon. To handle these problems, we present a model based on morphophon-ological analysis for automatically generating Korean pronunciation variants. By analyzing phonological variations frequently found in spoken Korean, we have derived about 700 phonemic contexts that would trigger the multilevel application of the corresponding phonological process, which consists of phonemic and allophonic rules. In generating pronunciation variants, morphological analysis is preceded to handle variations of phonological words. According to the morphological category, a set of tables reflecting phonemic context is looked up to generate pronunciation variants. Our experiments show that the proposed model produces mostly correct pronunciation variants of phonological words. Then we estimated how useful the pronunciation lexicon and training phonetic transcription using this proposed systems.

• Journal of the Korean Society for information Management
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• v.8 no.1
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• pp.33-49
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• 1991

This article investigates the problem of the processing of pronunciation and the scripts mainly in the cataloging of the East-Asian materials and its influence on the MARC formats, in terms of cataloging theory. Related cataloging rules and MARC formats are analyzed and evaluated and some findings are suggested.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.321-324
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• 2002

For a rule-based conversion of Hangout into the Roman alphabet rather than a word-for-word conversion, one must come up with a faultless model for the Korean standard pronunciation rules, which are the basis of the Romanization. It is on this foundation that the Korean-Roman alphabet conversion table can be created. For linguistic modeling using PetriNet, modeling boundary and notation of modeling can be defined. In order to describe PetriNet, which is a dynamic modeling tool, as a static one, one can model the standard Korean pronunciation rules and the Hangout-Roman alphabet notation by conversion into incident matrix Thus, this research attempts to develop a mathematical modeling tool for a natural language using PetriNet, and create a Korean-Roman alphabet conversion table.

• The Journal of the Acoustical Society of Korea
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• v.21 no.7
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• pp.656-664
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• 2002

We present a statistical analysis of Korean phonological variations using a Grapheme-to-Phoneme (GPT) system. The GTP system used for experiments generates pronunciation variants by applying rules modeling obligatory and optional phonemic changes and allophonic changes. These rules are derived form morphophonological analysis and government standard pronunciation rules. The GTP system is optimized for continuous speech recognition by generating phonetic transcriptions for training and constructing a pronunciation dictionary for recognition. In this paper, we describe Korean phonological variations by analyzing the statistics of phonemic change rule applications for the 60,000 sentences in the Samsung PBS Speech DB. Our results show that the most frequently happening obligatory phonemic variations are in the order of liaison, tensification, aspirationalization, and nasalization of obstruent, and that the most frequently happening optional phonemic variations are in the order of initial consonant h-deletion, insertion of final consonant with the same place of articulation as the next consonants, and deletion of final consonant with the same place of articulation as the next consonant's, These statistics can be used for improving the performance of speech recognition systems.

• Proceedings of the KSPS conference
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• 2000.07a
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• pp.7-16
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• 2000

It is a great honour for me to speak to you today on the Korean's problems in learning English pronunciation. First of all I would like to thank Prof. H. B. Lee, President of the Phonetic Society of Korea for calling upon me to make a keynote speech at this International Conference on Phonetic Sciences. The year before last when the 1 st Joint Summit on English Phonetics was held at Aichi Gakuin University in Japan, the warm hospitality given to me and my colleagues by the English Phonetic Society of Japan was so great that I would like to take this opportunity to express my sincere gratitude to the members of the English Phonetic Society of Japan and especially to Prof. Masaki Tsuzuki, President of the Society. Korean learners of English have a lot of problems in learning English pronunciation. Some vowel problems seem to be shared by Japanese learners but other problems, especially in consonants, are peculiar to Koreans owing to the nature of phonological rules peculiar to the Korean language. Of course, there are other important problems like speech rhythm and intonation besides vowels and consonants. But they will not be included here because of limited time.

• The Journal of the Acoustical Society of Korea
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• v.22 no.6
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• pp.434-442
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• 2003

Software internationalization, the process of making software easier to localize for specific languages, has deep implications when applied to speech technology, where the goal of the task lies in the very essence of the particular language. A greatdeal of work and fine-tuning has gone into language processing software based on ASCII or a single language, say English, thus making a port to different languages difficult. The inherent identity of a language manifests itself in its lexicon, where its character set, phoneme set, pronunciation rules are revealed. We propose a decomposition of the lexicon building process, into four discrete and sequential steps. For preprocessing to build a lexical model, we translate from specific language code to unicode. (step 1) Transliterating code points from Unicode. (step 2) Phonetically standardizing rules. (step 3) Implementing grapheme to phoneme rules. (step 4) Implementing phonological processes.

• KIPS Transactions on Software and Data Engineering
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• v.1 no.2
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• pp.91-102
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• 2012

Computer aided language learning has become popular. But the level of automation of constructing a Korean learning assistant system is not so high because a practical language learning system needs large scale knowledge resources, which is very hard to acquire. In this paper, we propose a Korean learning assistant system that utilizes easily obtainable knowledge resources like a corpus, web documents and a lexicon. Our system has three modules - problem solving, pronunciation marker and writing assistant. Automatic problem generator uses a corpus and a lexicon to make problems with one correct answer and three distracters, then verifies their suitability by utilizing frequency information from web documents. We analyze pronunciation rules for a pronunciation marker and recommend appropriate words and sentences in real-time by using data extracted from a corpus. In experiment, we evaluate 400 automatically generated problems, which show 89.9% problem suitability and 64.9% example suitability.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.3
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• pp.197-205
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• 2020

Korean language has the characteristics that the pronunciation of phoneme units such as vowels and consonants are fixed and the pronunciation associated with a notation does not change, so that foreign learners can approach rather easily Korean language. However, when one pronounces words, phrases, or sentences, the pronunciation changes in a manner of a wide variation and complexity at the boundaries of syllables, and the association of notation and pronunciation does not hold any more. Consequently, it is very difficult for foreign learners to study Korean standard pronunciations. Despite these difficulties, it is believed that systematic analysis of pronunciation errors for Korean words is possible according to the advantageous observations that the relationship between Korean notations and pronunciations can be described as a set of firm rules without exceptions unlike other languages including English. In this paper, we propose a visualization framework which shows the differences between standard pronunciations and erratic ones as quantitative measures on the computer screen. Previous researches only show color representation and 3D graphics of speech properties, or an animated view of changing shapes of lips and mouth cavity. Moreover, the features used in the analysis are only point data such as the average of a speech range. In this study, we propose a method which can directly use the time-series data instead of using summary or distorted data. This was realized by using the deep learning-based technique which combines Self-organizing map, variational autoencoder model, and Markov model, and we achieved a superior performance enhancement compared to the method using the point-based data.