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RISS 인기검색어
- 검색키워드
- 저자 : Miyuki Nambu (검색결과 4 건)
- 무료
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The Role of the Present Perfect in Communication: Analysis of American Movies
Miyuki Nambu 영상영어교육학회 2006 영상영어교육 (STEM journal) Vol.7 No.1
This paper focuses on the analysis of the contextualized 502 present perfect expressions from eight American movies with a view to find out the role of the present perfect in communication. The first analysis, the subject use analysis, points out that the present perfect can works in a dual way: it works as a tool of self-disclosure for the speaker and as a tool of understanding speaker's personality makeup for the listener. The second analysis is about what kind of tense follows in the utterance after the present perfect. It turns out that the present perfect is, more often than not, replaced by the present tense, not by the past tense as is often pointed out. In addition, with the statistical result that the speaker and the listener share the present tense almost equally in number, it is possible to conclude that the present perfect has an important role to make a foundation on which both the speaker and the listener can develop a conversation by centering on the present. Consequently, the present perfect has a uniqueness to make it possible for the speaker to lure the listener into the environment of the present-centered communication.
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The Role of the Present Perfect in Communication: Analysis of American Movies
Nambu, Miyuki 영상영어교육학회 2006 영상영어교육 (STEM journal) Vol.7 No.1
This paper focuses on the analysis of the contextualized 502 present perfect expressions from eight American movies with a view to find out the role of the present perfect in communication. The first analysis, the subject use analysis, points out that the present perfect can works in a dual way: it works as a tool of self-disclosure for the speaker and as a tool of understanding speaker’s personality makeup for the listener. The second analysis is about what kind of tense follows in the utterance after the present perfect. It turns out that the present perfect is, more often than not, replaced by the present tense, not by the past tense as is often pointed out. In addition, with the statistical result that the speaker and the listener share the present tense almost equally in number, it is possible to conclude that the present perfect has an important role to make a foundation on which both the speaker and the listener can develop a conversation by centering on the present. Consequently, the present perfect has a uniqueness to make it possible for the speaker to lure the listener into the environment of the present-centered communication.
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GUEST, Michael,NAMBU, Miyuki 한국외국어대학교 외국어교육연구소 2014 외국어교육연구 Vol.28 No.2
This paper addresses considerations that need to be made when theresearchers were classifying samples of spoken discourse as beingindicative of English for Specific Purposes (ESP) or English as a LinguaFranca (ELF), based upon observations and data collection of naturallyoccurringworkplace English nursing discourse from four distinct Asianlocales and problems endemic to accurate classification. Since a numberof nursing students at the researchers’ university in Japan wish topursue English nursing studies elsewhere in Asia, observation ofnaturally‐occurring nursing English was carried out for two full workingdays at four distinct Asian locales (National University Hospital,Singapore, Vicente Sotto Hospital, Cebu, The Philippines, St. Paul’sUniversity & Hospital, Manila, and Gleneagles Hospital, Penang,Malaysia) in order to note nursing English discourse patterns not commonto American or British‐Englishes, and thus possibly be identifiable asexamples of an emerging Asian ELF. It was initially hoped that theresults of this research would aid materials designers in developingEnglish learning materials for Japanese nursing students by identifyingand incorporating elements of authentic spoken Asian ELF/ESP forms used in nursing English. However, the researchers soon realized that accurate classification of such speech data as being ELF or ESP‐specific can be exceedingly problematic. Based upon observations made after collecting and analyzing the naturally‐occurring nursing English data, six primary category/classification problem areas were identified:1. Local variety 2. Medical domain specific 3. Speech event specific 4.Idiosyncratic style 5. Spoken grammar form 6. Error (both native and non ‐native). Considerations and questions regarding accurate classification were included for each of the six problem areas.
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( Michael Guest ),( Miyuki Nambu ) 한국외국어대학교 외국어교육연구소 2014 외국어교육연구 Vol.28 No.2
This paper addresses considerations that need to be made when the researchers were classifying samples of spoken discourse as being indicative of English for Specific Purposes (ESP) or English as a Lingua Franca (ELF), based upon observations and data collection of naturallyoccurring workplace English nursing discourse from four distinct Asian locales and problems endemic to accurate classification. Since a number of nursing students at the researchers` university in Japan wish to pursue English nursing studies elsewhere in Asia, observation of naturally-occurring nursing English was carried out for two full working days at four distinct Asian locales (National University Hospital, Singapore, Vicente Sotto Hospital, Cebu, The Philippines, St. Paul`s University & Hospital, Manila, and Gleneagles Hospital, Penang, Malaysia) in order to note nursing English discourse patterns not common to American or British-Englishes, and thus possibly be identifiable as examples of an emerging Asian ELF. It was initially hoped that the results of this research would aid materials designers in developing English learning materials for Japanese nursing students by identifying and incorporating elements of authentic spoken Asian ELF/ESP forms used in nursing English. However, the researchers soon realized that accurate classification of such speech data as being ELF or ESP-specific can be exceedingly problematic. Based upon observations made after collecting and analyzing the naturally-occurring nursing English data, six primary category/classification problem areas were identified:1. Local variety 2. Medical domain specific 3. Speech event specific 4. Idiosyncratic style 5. Spoken grammar form 6. Error (both native and non -native). Considerations and questions regarding accurate classification were included for each of the six problem areas.
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