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广东省2024年9月八校高三联合检测(纵千文化-5033C)英语答案

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uin0u3PBus:,ous1a北3L33 enauel Mo0 SJo】unknown words.making it a practical tool for real-world use and the tool is smart enough to be able tothis,do a lot of the translation on its own.For edos some dialrelated to language revitalion()namedsrnnPenudingandictionay,and a sentenuerand a translation systemandpoteOverall.the paper foundthat LiM4's remarkable general-purpcse language skills make them aby this research.usecpromising tool in helping revitauze cincally endangered languages lke Paiute.32.For his part,Coleman credits his tribe's()members,past and present,for paving the path."Alot of people in my tribe have been working for a long time on different language revitalizationefforts,including classes,dictionaries and recordings,"said Coleman."So though I am excited,I knowit is one piece of a much larger puzzle.33Indeed,the paper points to many directions for future work,including.adding more complexsentence structures to test the lirmts of the method outlined in his paper.28.What can we learn about LLM-RBMT?34A.It is a traditional way to learn languages.B.It can translate Paiute into any other language.C.It is useful for learners of no-resource languages.D.It can simplify the process of learning English.3¥29.What is iainly talked about in paragraph 3?A.The principle of the LLM.B.The advantages of the LLM.C.The grammar and vocabulary of Paiute.D.The efficiency of the translation tool.30.What contribution did Coleman make?A.He popularized Paiute all over the worldB.He helped to save endangered languages.C.He recorded and preserved his tribe's history.D.He invented a smart language learning machine.31.What can we infer about Coleman from paragraph 7?A.His tribe gave birth to many scientists.B.He was very grateful to his tribe's members.C.He would publicize something more puzzling.D His tribe's members got inyolved in his work directly.DPlants are known to respond to seasonal changes by budding ()leafing,and flowering.Asclimate change stands to shitt these so-called phenological stages in the life cycle ofplants,access to data about phenological changes-from many aitrerent locations and in differentplants-can be used to araw conclusions about ine actual consequences of climate cnange.However,conducting such analyses require a large amount of data and data collection of this scalewould be unthinkable without the help of citizen scientists"Mobile apps like Flora Incognita could help solve this issue.The app allows users to identifyunknown wild plants within a matter of seconds.When I take a picture of a plant with the app,theobservation is recorded with the exact location as well as a time stamp,"says the first author KarinMora,research fellow at Leipzig University.Although satellite data also records the phenology of entire ecosystems from above,they do notprovide information about the processes taking place on the ground.The researchers developed an algorithm()that draws on almost 10 million observations ofnearly 3,000 plants species identified in Germany by users of Flora incognita.The data show that eachindividual plant has its own cvcie as to when it begins a flowering or growth phase.Furthermore,thescientists were able to show that group behaviour arises from the behaviour of individuals.From高三·英语第5页(共8页)
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