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Redmoon Calculators
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Hedge Word Detector

자신감 있는 글을 약화시키는 완곡 단어("might", "perhaps", "appears to")를 찾습니다. 마케팅, 학술, 법률, 일반 등 도메인별로 가중된 신뢰도 점수를 얻으세요.

한국어에는 적합하지 않음

이 도구는 영어(와 일부 관련 언어)용으로 보정되었습니다. 한국어의 결과는 신뢰할 수 없습니다.

사용 시기

Use the hedge-word detector for marketing copy, executive writing, or any context where confidence sells. Inverse use: in academic and legal writing, hedging signals epistemic care — high hedge rates are expected.

비교

Hedge detection is the confidence dimension of the filler / passive / adverb family. Together they form a complete weak-prose audit.

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작동 방식

Hedges are words that signal uncertainty: modal verbs (might, could), probability adverbs (perhaps, possibly), and tentative verbs (seems, appears).

The detector counts both single-word hedges and multi-word phrases ("it could be argued", "to some extent").

The confidence score is 100 minus the hedge rate times a domain-specific weight — marketing penalizes hedges heaviest, academic lightest.

자주 묻는 질문

What are hedge words?

Words that signal uncertainty: might, may, could, perhaps, possibly, seems, appears, suggests, somewhat, generally, etc.

Is hedging always bad?

No. Academic and legal writing require hedging to signal epistemic care. Marketing and confident persuasion punish it. Set the domain selector accordingly.

How is the confidence score calculated?

Confidence = 100 − (hedge rate × domain weight). Marketing weight is highest (5), academic lowest (1.5).

실제 예시

입력

"It might be possible that our approach could perhaps yield some improvement."

출력

4 hedges in 12 words (33%) — confidence 0/100.

"Might", "possible", "could", "perhaps", "some" — every claim is hedged. A confident rewrite: "Our approach yields a measurable improvement."

흔한 함정

  • Hedging is appropriate in scientific writing — "the data suggest" is correct, not weak.
  • Modal verbs (might, could) have both hedging and capability meanings — context matters.
  • Eliminating all hedges produces overconfident prose that strikes readers as naïve.
  • Domain weighting matters — set the correct preset for accurate scoring.

관련 도구

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