RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      Affinities of Text Types to Typical Spoken and Written Registers

      한글로보기

      https://www.riss.kr/link?id=A108361492

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      The purpose of this study is to identify the relative degree of affinities of 12 text types to typical spoken and written registers, using the frequencies of nine grammatical features which are exclusively pervasive only in spoken or in written discou...

      The purpose of this study is to identify the relative degree of affinities of 12 text types to typical spoken and written registers, using the frequencies of nine grammatical features which are exclusively pervasive only in spoken or in written discourse. Two registers, everyday conversation and academic prose, were set as a norm to measure the relative distances of other registers. Oral features like interrogatives, progressives, personal pronouns, and contractions are pervasive in spoken registers, but rare in written ones. Passives and adverbs with -ly are the opposite case. The findings of the study showed that soap drama appeared to be the most oral, and academic prose to be the most literal text. Fictions turned out to be very close to everyday conversation. Being a written text, blogs, internet, and articles of magazine and newspaper appeared to be much less literal because of uses of many oral features. Meanwhile, texts from the U.S. Supreme Court and Wikipedia turned out to be literate, containing features of academic prose. It is suggested that learners have to be accustomed to the various registers, distinguish between them, and produce different types of texts to test and refine their receptive knowledge of registers.

      더보기

      목차 (Table of Contents)

      • I. INTRODUCTION
      • II. BACKGROUND
      • III. METHODS
      • IV. RESULTS and DISCUSSION
      • V. CONCLUSION
      • I. INTRODUCTION
      • II. BACKGROUND
      • III. METHODS
      • IV. RESULTS and DISCUSSION
      • V. CONCLUSION
      • REFERENCES
      더보기

      동일학술지(권/호) 다른 논문

      동일학술지 더보기

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼