영어 모의고사 (자동 편성)

Only a decade ago, translation apps produced sentences so awkward that users often laughed at the results rather than trusting them. Today, many of these apps rely on neural networks ①that analyze entire sentences at once, capturing context instead of translating word by word. This shift has made everyday tasks such as reading a foreign menu or chatting with an overseas friend remarkably smooth. Frequent travelers now point their phone cameras at street signs and ②receiving an instant translation overlaid on the screen. Even so, the technology still struggles with humor, sarcasm, and cultural nuance, areas ③where a single wrong word can completely change the intended meaning. A joke that depends on wordplay in one language may become confusing once it ④is translated literally into another. For this reason, professional translators argue that these apps are best treated as a helpful starting point rather than a final, polished result that no human ⑤needs to review.

A smartwatch strapped to a runner's wrist can now do far more than simply count steps; it monitors heart rate variability, running form, and recovery time, then uses that data ①to suggest a training plan tailored to the individual rather than a generic weekly schedule. When the device detects signs of overtraining, such as an unusually high resting heart rate several mornings in a row, it may recommend a lighter workout or an extra rest day before fatigue ②turns into an actual injury. Amateur athletes often credit this kind of guidance with ③help them train more consistently without pushing their bodies too hard. Sports scientists note an important caveat, however: a wrist-based sensor cannot fully capture the same physiological detail ④available in a professional lab, so its suggestions should be treated as a helpful guideline rather than an infallible medical judgment, particularly for anyone ⑤managing a chronic health condition.

Long before a user finishes typing a sentence, the keyboard on most smartphones has already begun ①guessing what word comes next. This feature relies on a language model ②trained to notice which words commonly follow one another, so it can offer a shortlist of likely candidates above the keyboard, saving users countless keystrokes over the course of a day. The system also adapts to each individual, gradually ③learning a person's favorite phrases, slang, and even the names of friends that no generic dictionary would recognize. This constant personalization, however, creates a subtle side effect that few users ④notices. Because the keyboard nudges people toward its own suggestions, some linguists worry that autocomplete may be quietly narrowing everyday vocabulary, encouraging writers ⑤to accept a convenient suggestion rather than searching for the more precise word.

Feed an AI music program a mood, a tempo, and a rough genre, and within seconds it can generate a complete instrumental track, ready to be dropped under a video or used as background music for a small business. The software has studied thousands of existing songs, learning which chord progressions and rhythms tend to sound ①pleasant together, and it ②recombines these patterns into something new rather than copying any single source directly. For independent creators who cannot afford a composer or expensive licensing fees, this has been a genuine ③breakthrough. Professional musicians, however, remain divided. Some welcome the tool as a quick way to sketch ideas before refining them by hand, while others ④celebrate that a flood of AI-generated background music could quietly push human composers out of smaller, lower-budget projects. ⑤the very jobs many musicians once relied on to build a career.

For most of last year, Junho refreshed his social media feed constantly, ①terrified of missing a party, a trending meme, or gossip among his friends. This restless anxiety, often called FOMO, or the fear of missing out, left him ②relaxed and strangely unsatisfied even after hours of scrolling. One weekend, his phone battery died during a hiking trip, and, to his surprise, he actually ③enjoyed the quiet afternoon without notifications interrupting his thoughts. Curious about this ④unexpected calm, Junho began deleting social apps for a few hours each day. This shift in attitude reflects what psychologists now call JOMO, a mindset that treats disconnection as ⑤freedom rather than loss.

The gig economy has grown ①rapidly over the past decade, as digital platforms connect customers directly with independent workers. This model offers clear advantages: workers can choose when and how much they work, providing valuable ②rigidity that traditional employment rarely allows. However, gig workers often ③lack benefits such as health insurance and paid leave, which full-time employees typically receive. Because their income can ④fluctuate sharply from month to month, many gig workers struggle to plan their finances confidently. Governments therefore face growing pressure to ⑤protect independent workers through new policies.

Self-driving technology is advancing rapidly, and its impact on the transportation industry is becoming increasingly ①visible. Companies are testing autonomous trucks that can travel long distances without human drivers, potentially ②transforming how goods move across countries. Millions of professional drivers worry about losing their jobs as automation ③spreads through the industry. Experts predict that certain driving jobs, particularly long-distance trucking, may shrink significantly within the next two decades. However, new roles are also ④emerging, including remote vehicle operators who monitor fleets of autonomous trucks. Workers who adapt their skills toward supervising and maintaining these systems are likely to find new opportunities rather than face ⑤employment.

Turning on automatic captions used to mean settling for garbled text full of obvious errors, but recent speech-recognition models have made same-language captions accurate enough that many viewers now leave them on by default. The technology listens to audio, breaks it into individual sounds, and matches those sounds against a massive library of words and phrases to predict what was actually said. The system still stumbles over overlapping speakers, strong accents, and specialized vocabulary such as medical or technical terms, occasionally producing captions that are unintentionally funny. Even with these flaws, _______________.

Planning a multi-city trip once meant hours spent comparing flight schedules, reading hotel reviews, and mapping out which sights were close enough to visit in a single day. (A) Many travelers appreciate having a solid starting point rather than a blank page. (B) Still, seasoned travelers warn that these itineraries can feel oddly generic, often steering users toward the same popular landmarks that every other AI-generated plan recommends. (C) AI travel planners now compress much of that work into a short conversation, generating a full day-by-day itinerary within minutes based on enormous amounts of data.

주어진 문장: This concern reflects a deeper fear about what makes art meaningful in the first place. Artificial intelligence has begun to play a surprising role in creative industries once thought to be uniquely human. ( ① ) Programs can now compose music, generate paintings, and even draft short stories within seconds. ( ② ) Some artists welcome this technology, using AI tools to explore new styles or overcome creative blocks that once took weeks to resolve. ( ③ ) Others, however, argue that AI-generated art lacks the emotional depth that comes from genuine human experience. ( ④ ) Despite this debate, most experts agree that AI is unlikely to fully replace artists anytime soon. ( ⑤ ) Instead, it functions best as a collaborative tool, helping creators experiment faster while leaving final artistic decisions to humans.