2024年普通高等学校招生全国统一考试模拟试题英语一衡水金卷先享题分科综合卷，目前趣答答案已经汇总了2024年普通高等学校招生全国统一考试模拟试题英语一衡水金卷先享题分科综合卷的各科答案和试卷，获取更多{{papers_name}}答案解析，请在关注本站。

C.The lack of its direct translation into Spanish.D.The loss of diversity in Spanish translation.26.What aspect of the translation task does paragraph 3 mainly talk about?A.Its barrier.B.Its principle.C.Its style.D.Its meaning.27.What does Ciruela think is the most important in translation?A.Meeting readers'needs.B.Targeting cultural phenomena.C.Bridging the cultural gap.D.Being loyal to the original text.CSome of the world's largest telescopes are listening for signals from distant alien civiliza31.tions.The search is an effort to find artificial-looking signals that might have come from atechnologically advanced civilization in a far-away solar system.It is a new time for the search for extraterrestrial(外星s球的)intelligence research,圜known as SETI,which is opening up thanks to machine-learning technology.The problem ofbig data is relatively new for SETI.For decades,the field had been limited by having hardly如any data at all.Astronomer Frank D.Drake pioneered SETI in 1960,when he pointed a telescope towards two stars and listened for radio transmissions.Most of the SETI searches thatare figmore啟followed were also limited to a small number of stars.But in 2015,the biggest SETI programme ever in California:the Breakthrough Listenfeelingleads i长project searched one million stars for signs of intelligent life.The projeet looks for radiosylvaniRemissions that come from the direction of a star.The trouble is that these searches get a lot of dataincluding false positives from mobilesearchphones,GPS and other aspects of modern life."The biggest challenge for us in looking forcosts,敬SETI signals is not at this point getting the data,"says Sofia Z.Sheikh,an astronomer at theSETI Institute."The difficult part is to distinguish signals from human or Earth technologybudgefrom the kind of signals we'd be looking for from technology somewhere else out in the Galaxy.thingGoing through millions of results of observation manually (isn't practical.Ading细common approach is to use algorithms().Machine-learning algorithms are trained onmaklarge amounts of data and can learn to recognize features that are characteristic of earthlyinterference.esti"Still,SETI will probably continue to use a mixture of classical and machine-learningsayapproaches to sort through data,"says Jean-Luc Margot,a professor at UCLA."Classicalalgorithms remain excellent at picking up signals,and machine-learning can not solve all thefinproblems of particular situations."28.What had limited SETI for decades?CA.Artificial-looking signals.B.Machine-learning technology.C.Being short of data.D.Dealing with big data.29.What can we know about SETI before the Breakthrough Listen project?A.It only searched a few stars.【高三英语第5页（共10页）】517C