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๊ฒ€์ฆ๋œ ํŒŒํŠธ๋„ˆ ์ œํœด์‚ฌ ์ž๋ฃŒ

๋‹ดํ™”ํ‘œ์่ง โ€˜๋ญโ€™์˜ ์‚ฌ์šฉํŒจํ„ด๊ณผ ๊ธฐ๋Šฅ (Usage Patterns and Functions of Discourse Marker โ€˜mwoโ€™)

ํ•œ๊ตญํ•™์ˆ ์งฟ’์—์„œ ์ œ๊ณตํ•˜๋Š” ๊ตญ๋‚ด ์ตœ๊ณ  ์ˆ˜์ค€์˜ ํ•™์ˆ  ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋ฅผ ํ†ตํ•ด ๋‹ค์–‘ํ•œ ๋…ผ๋ๅฉ๊ณผ ํ•™์ˆ ์ง€ ์ •๋ณด๋ฅผ ๋งŒ๋‚˜๋ณด์„ธ์š”.
29 ํŽ˜์ด์งฟ’
๊ธฐํƒ€ํŒŒ์ผ
์ตœ์ดˆ๋“ฑ๋ก์ผ 2025.02.12 ์ตœ์ข…์ ฟ’์ž‘์ผ 2010.06
29P ๋ฏธ๋้ฉ๋ณด๊ธฐ
๋‹ดํ™”ํ‘œ์่ง โ€˜๋ญโ€™์˜ ์‚ฌ์šฉํŒจํ„ด๊ณผ ๊ธฐ๋Šฅ
  • ๋ฏธ๋้ฉ๋ณด๊ธฐ

    ์„œ์่ง์ •๋ต–

    ยท ๋ฐœํ–‰๊ธฐ๊ด€ : ํ•œ๊ธ€ํ•™ํšŒ
    ยท ์ˆ˜๋ก์ง€ ์ •๋ณด : ํ•œ๊ธ€ / 288ํ˜ธ / 91 ~ 119ํŽ˜์ด์งฟ’
    ยท ์ €์ž๋ช… : ๋‚จ๊ธธ์ž„, ์ฐจ์ง€ํ˜„

    ์ดˆ๋ก

    ์ด ์—ฐ๊ตฌ๋Š” ์ฃผ๋กœ ์‚ฌ์  ๋Œ€ํ™”์™ฟ’ ์‚ฌ์  ๋…๋ฐฑ์— ๋‚˜ํƒ€๋‚œ ๋‹ดํ™”ํ‘œ์่ง โ€˜๋ญโ€™์˜ ์‚ฌ์šฉํŒจํ„ด์„ ์œ ํ˜•ํ™”ํ•จ์œผ๋กœ์จ, โ€˜๋ญโ€™์˜ ๋ฌธ๋ฒ•์ , ์–ดํœ˜์ , ๋‹ดํ™”ยทํ™”์šฉ์  ์ถœํ˜„ ํ™˜๊ฒฝ๊ณผ โ€˜๋ญโ€™์˜ ๊ธฐ๋Šฅ๊ณผ์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•˜๊ณ ์ž ํ•œ ์‹œ๋„์ด๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ์˜ โ€˜์‚ฌ์šฉํŒจํ„ดโ€™์€ ํ†ต์‚ฌ์ ์œผ๋กœ ํ•ต์˜ ์œ„์น˜์— ์žˆ์ง€ ์•Š๊ณ , ์˜๋ฏธ์ ์œผ๋กœ ๋ช…์ œ์  ๋‚ด์šฉ์„ ๊ฐ€์ง€์ง€ ์•Š๋Š” ๋‹ดํ™”ํ‘œ์่ง์˜ ๋‹ดํ™”์  ์‚ฌ์šฉํŒจํ„ด์„ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•œ ๊ฐœ๋…์ด๋‹ค.
    ์ด ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ๋ฐํ˜€์ง„ ์‚ฌํ•ญ์€ ๋‹ค์Œ์˜ ์„ธ ๊ฐ€์ง€๋กœ ์š”์•ฝ๋  ์ˆ˜ ์žˆ๋‹ค. ์šฐ์„ , โ€˜๋ญโ€™๋Š” ๊ฐ™์€ ์‚ฌ์  ์žฅ๋ฅด ๋‚ด์—์„œ๋Š” ๋Œ€ํ™”๋ณด๋‹ค ๋…๋ฐฑ์—์„œ ์•ฝ 40% ์ด์ƒ ๋” ๋งŽ์ด ์“ฐ์ด๋Š”๋ฐ, ์ด๋Š” โ€˜๋ญโ€™์˜ ์˜๋ฏธ ๊ธฐ๋Šฅ์ด ํ™”์ž์™ฟ’ ์ฒญ์ž์˜ ์ƒํ˜ธ์ž‘์šฉ์— ์žˆ๋‹ค๊ธฐ๋ณด๋‹ค๋Š” ํ™”์ž๊ฐ€ ์ž์‹ ์˜ ์ด์•ผ๊ธฐ๋ฅผ ์ด๋Œ์–ด๊ฐ€๊ธฐ ์œ„ํ•œ ๋‹ดํ™” ์ „๋žต๊ณผ ๊ด€๋ จ์ด ์žˆ์Œ์„ ๋‚˜ํƒ€๋‚ธ๋‹ค. ๋‘˜์งธ, โ€˜๋ญโ€™์˜ ์‚ฌ์šฉํŒจํ„ด์€ โ€˜๋ญโ€™๊ฐ€ ์ถœํ˜„ํ•˜๋Š” ๋ฌธ๋ฒ•์  ํ™˜๊ฒฝ, ์„ โ€งํ›„ํ–‰ ์–ดํœ˜ ์š”์†Œ, ๋‹ดํ™”์  ์š”์†Œ์— ๋”ฐ๋ผ ๋ช‡ ๊ฐ€์ง€ ์‚ฌ์šฉํŒจํ„ด์œผ๋กœ ์œ ํ˜• ๋ถ„๋ฅ˜ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๊ฐ๊ฐ์˜ ํŒจํ„ด์€ ์‚ฌ์šฉ์—ญ์— ๋”ฐ๋ผ ๋‹ค๋ฅธ ๋นˆ๋„์™ฟ’ ๋ถ„ํฌ๋ฅผ ๋‚˜ํƒ€๋‚ธ๋‹ค. ์…‹์งธ, โ€˜๋ญโ€™์˜ ์‚ฌ์šฉํŒจํ„ด์„ ์ค‘์‹ฌ์œผ๋กœ โ€˜๋ญโ€™์˜ ๊ธฐ๋Šฅ์„ ๋ถ„์„ํ•  ๋•Œ, โ€˜๋ญโ€™์˜ ์œ ํ˜•์€ โ€˜๋ญโ€™์˜ ๊ธฐ๋Šฅ๊ณผ ์ผ์ •ํ•œ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์ธ๋‹ค.

    ์˜์–ด์ดˆ๋ก

    This paper aims to investigate the correlation between patterns and functions of the Korean discourse marker โ€˜mwoโ€™ derived from an interrogative pronoun โ€˜mwuesโ€™ and to examine how differently it is manifested in spoken corpus across various registers. The data used for this study mainly comes from the 21st Sejong Spoken Corpus consisting of narratives and naturally-occurring conversations, and the size of the data is approximately 100,000 words (50,000 words in each sub-genre, respectively). In order to analyze โ€˜mwoโ€™, we take the following procedures: First, the raw frequency is automatically drawn from the concordance pro๏ผ gram called โ€˜AntContโ€™. Second, based on the frequency results, the usage as a discourse marker is manually categorized excluding the cases where โ€˜mwoโ€™ is used as an interrogative pronoun and an indefinite word. Third, among the selected data, patterns are divided into 6 subcategories in terms of morpho-syntactic chara๏ผ cteristics. Fourth, by examining the context where โ€˜mwoโ€™ occurs, the four main functions of โ€˜mwoโ€™ are correlated with patterns as well as described, if necessary, with regard to what social actions are achieved.

    ์ฐธ๊ณ ์ž๋ฃŒ

    ยท ์—†์Œ
  • ์ž์ฃผ๋ฌป๋Š”์งˆ๋ๅฉ์˜ ๋‹ต๋ณ€์„ ํ™•์ธํ•ด ์ฃผ์„ธ์š”

    ํ•ดํ”ผ์บ ํผ์Šค FAQ ๋”๋ณด๊ธฐ

    ๊ผญ ์•Œ์•„์ฃผ์„ธ์š”

    • ์ž๋ฃŒ์˜ ์ •๋ณด ๋ฐ ๋‚ด์šฉ์˜ ์ง„์‹ค์„ฑ์— ๋Œ€ํ•˜์—ฌ ํ•ดํ”ผ์บ ํผ์Šค๋Š” ๋ณด์ฆํ•˜์ง€ ์•Š์œผ๋ฉฐ, ํ•ด๋‹น ์ •๋ณด ๋ฐ ๊ฒŒ์‹œ๋ฌผ ์ €์ž‘๊ถŒ๊ณผ ๊ธฐํƒ€ ๋ฒ•์  ์ฑ…์ž„์€ ์ž๋ฃŒ ๋“ฑ๋ก์ž์—๊ฒŒ ์žˆ์Šต๋‹ˆ๋‹ค.
      ์ž๋ฃŒ ๋ฐ ๊ฒŒ์‹œ๋ฌผ ๋‚ด์šฉ์˜ ๋ถˆ๋ฒ•์  ์ด์šฉ, ๋ฌด๋‹จ ์ „์žฌโˆ™๋ฐฐํฌ๋Š” ๊ธˆ์ง€๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.
      ์ €์ž‘๊ถŒ์นจํ•ด, ๋ช…์˜ˆํ›ผ์† ๋“ฑ ๋ถ„์Ÿ ์š”์†Œ ๋ฐœ๊ฒฌ ์‹œ ๊ณ ๊ฐ๋น„๋ฐ”์นด์ง€๋…ธ Viva์˜ ์ €์ž‘๊ถŒ์นจํ•ด ์‹ ๊ณ ๋น„๋ฐ”์นด์ง€๋…ธ Viva๋ฅผ ์ด์šฉํ•ด ์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
    • ํ•ดํ”ผ์บ ํผ์Šค๋Š” ๊ตฌ๋งค์ž์™ฟ’ ํŒ๋งค์ž ๋ชจ๋‘๊ฐ€ ๋งŒ์กฑํ•˜๋Š” ์„œ๋น„์Šค๊ฐ€ ๋˜๋„๋ก ๋…ธ๋ ฅํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์•„๋ž˜์˜ 4๊ฐ€์ง€ ์ž๋ฃŒํ™˜๋ถˆ ์กฐ๊ฑด์„ ๊ผญ ํ™•์ธํ•ด์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
      ํŒŒ์ผ์˜ค๋ฅ˜ ์ค‘๋ณต์ž๋ฃŒ ์ €์ž‘๊ถŒ ์—†์Œ ์„ค๋ช…๊ณผ ์‹ค์ œ ๋‚ด์šฉ ๋ถˆ์ผ์น˜
      ํŒŒ์ผ์˜ ๋‹ค์šด๋กœ๋“œ๊ฐ€ ์ œ๋Œ€๋กœ ๋˜์ง€ ์•Š๊ฑฐ๋‚˜ ํŒŒ์ผํ˜•์‹์— ๋งž๋Š” ํ”„๋กœ๊ทธ๋žจ์œผ๋กœ ์ •์ƒ ์ž‘๋™ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ ๋‹ค๋ฅธ ์ž๋ฃŒ์™ฟ’ 70% ์ด์ƒ ๋‚ด์šฉ์ด ์ผ์น˜ํ•˜๋Š” ๊ฒฝ์šฐ (์ค‘๋ณต์ž„์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋Š” ๊ทผ๊ฑฐ ํ•„์š”ํ•จ) ์ธํ„ฐ๋„ท์˜ ๋‹ค๋ฅธ ์‚ฌ์ดํŠธ, ์—ฐ๊ตฌ๊ธฐ๊ด€, ํ•™๊ป“, ์„œ์  ๋“ฑ์˜ ์ž๋ฃŒ๋ฅผ ๋„์šฉํ•œ ๊ฒฝ์šฐ ์ž๋ฃŒ์˜ ์„ค๋ช…๊ณผ ์‹ค์ œ ์ž๋ฃŒ์˜ ๋‚ด์šฉ์ด ์ผ์น˜ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ
๋ฌธ์„œ ์ดˆ์•ˆ์„ ์ƒ์„ฑํ•ด์ฃผ๋Š” EasyAI
์•ˆ๋…•ํ•˜์„ธ์š”. ํ•ดํ”ผ์บ ํผ์Šค์˜ ๋ฐฉ๋Œ€ํ•œ ์ž๋ฃŒ ์ค‘์—์„œ ์„ ๋ณ„ํ•˜์—ฌ ๋‹น์‹ ๋งŒ์˜ ์ดˆ์•ˆ์„ ๋งŒ๋“ค์–ด์ฃผ๋Š” EasyAI ์ž…๋‹ˆ๋‹ค.
์ €๋Š” ์•„๋ž˜์™ฟ’ ๊ฐ™์ด ์ž‘์—…์„ ๋„์™ฟ’๋“œ๋ฆฝ๋‹ˆ๋‹ค.
- ์ฃผ์ œ๋งŒ ์ž…๋ ฅํ•˜๋ฉด ๋ชฉ์ฐจ๋ถ€ํ„ฐ ๋ณธ๋ฌธ๋‚ด์šฉ๊นŒ์ง€ ์ž๋™ ์ƒ์„ฑํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
- ์žฅ๋ฌธ์˜ ์ฝ˜ํ…์ธ ๋ฅผ ์‰ฝ๊ณ  ๋น ๋ฅด๊ฒŒ ์ž‘์„ฑํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
- ์Šคํ† ์–ด์—์„œ ๋ฌด๋ฃŒ ์บ์‹œ๋ฅผ ๊ณ„์ •๋ณ„๋กœ 1ํšŒ ๋ฐœ๊ธ‰ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ง€๊ธˆ ๋ฐ”๋กœ ์ฒดํ—˜ํ•ด ๋ณด์„ธ์š”!
์ด๋Ÿฐ ์ฃผ์ œ๋“ค์„ ์ž…๋ ฅํ•ด ๋ณด์„ธ์š”.
- ์œ ์•„์—๊ฒŒ ์ ํ•ฉํ•œ ๋ฌธํ•™์ž‘ํ’ˆ์˜ ๊ธฐ์ค€๊ณผ ํŠน์„ฑ
- ํ•œ๊ตญ์ธ์˜ ๊ฐ€์น˜๊ด€ ์ค‘์—์„œ ์ •์‹ ์  ๊ฐ€์น˜๊ด€์„ ์ด๋ฃจ๋Š” ๊ฒƒ๋“ค์„ ๋ฌธํ™”์  ๋ฌธ๋ฒ•์œผ๋กœ ์ •๋ฆฌํ•˜๊ณ , ํ˜„๋Œ€ํ•œ๊ตญ์‚ฌํšŒ์—์„œ ์ผ์–ด๋‚˜๋Š” ์‚ฌ๊ฑด๊ณผ ์‚ฌ๊ณ ๋ฅผ ๋น„๊ตํ•˜์—ฌ ์ž์‹ ์˜ ์˜๊ฒฌ์œผ๋กœ ๊ธฐ์ˆ ํ•˜์„ธ์š”
- ์ž‘๋ณ„์ธ์‚ฌ ๋…ํ›„๊ฐ
ํ•ด์บ  AI ์ฑ—๋ด‡๊ณผ ๋Œ€ํ™”ํ•˜๊ธฐ
์ฑ—๋ด‡์œผ๋กœ ๊ฐ„ํŽธํ•˜๊ฒŒ ์ƒ๋‹ดํ•ด๋ณด์„ธ์š”.
2025๋…„ 06์›” 08์ผ ์ผ์š”์ผ
AI ์ฑ—๋ด‡
์•ˆ๋…•ํ•˜์„ธ์š”. ํ•ดํ”ผ์บ ํผ์Šค AI ์ฑ—๋ด‡์ž…๋‹ˆ๋‹ค. ๋ฌด์—‡์ด ๊ถ๊ธˆํ•˜์‹ ๊ฐ€์š”?
8:03 ์˜คํ›„