MC
MandarinClips Cinema Corpus
《The Knockout》 S1·E22 (34:30) HSK 7
duì tóng yī shí duàn de rén yuán zuò le yí gè duì bǐ nǐ néng bù néng jiǎng zhòng diǎn

对同一时段的人员 做了一个对比 你能不能讲重点

“and have compared the people who appeared in the same period. Can you get to the point?”

《The Knockout》 S1·E22
TIMECODE: 34:30 · 1080P MASTER AUDIO

THE DIALOGUE REEL

1+1+1 SPOKEN CONTINUITY
[-1] PREVIOUS TURN rán hòu ne suǒ yǐ wǒ men diào qǔ le fù jìn suǒ yǒu de jiān kòng lù xiàng

然后呢 所以我们调取了 附近所有的监控录像

“And then? So we retrieved the videos of all the surveillance cameras nearby”

duì tóng yī shí duàn de rén yuán zuò le yí gè duì bǐ nǐ néng bù néng jiǎng zhòng diǎn CURRENT FOCUS

对同一时段的人员 做了一个对比 你能不能 讲重点

“and have compared the people who appeared in the same period. Can you get to the point?”

[+1] FOLLOW-UP TURN wǒ men zhǎo dào le gěi mèng yù dǎ diàn huà de rén nǐ zǎo shuō bù jiù wán le ma

我们找到了 给孟钰打电话的人 你早说不就完了吗

“We found the person who called Meng Yu. Why didn't you say it first?”

Subtitles synced to millisecond timecode Browse Show Clips →
Scene: Legal & Police
Function: URGING EFFICIENCY
Tone: BLUNT
Emotion: IMPATIENCE
WHAT THEY REALLY MEAN (PRAGMATIC SUBTEXT)
“Cut the procedural details and tell me what you actually found.”
💡 Cultural Insight: Efficiency in High-Stakes Police Work

In fast-paced investigative environments, junior officers are often reprimanded if they dwell on background methodology instead of actionable breakthroughs.

INTENT TAGS: #impatience #urging #cutting_short #efficiency
🧩

LEARNING CHUNKS & PARTICLES

2 CHUNKS · 0 PARTICLES
讲重点 SPOKEN CHUNK

get to the point; focus on the main issue

A very common imperative used in work or meetings when someone is being excessively verbose.

同一时段 SPOKEN CHUNK

the same time period

Commonly used in formal reports, data analysis, or investigative timelines.

🏮

VOCABULARY & EXPRESSIONS

2 EXPR · 0 GRAMMAR
CROSS-CINEMA CORPUS BOARD · PARALLEL SCENES

Parallel Spoken Cinema Scenes (语义近邻切片)

EXPLORE BY SEMANTIC SIMILARITY
《The Knockout》 S1·E22 (34:30) · Authentic Cinema Dialogue Corpus