Lesson11excuseik'skju:zv.原谅2memi:,mipron.我宾格3yesjesad.是的4isiz,s,z,z动词现在时第三人称单数5thiseispron.这6yourj:,j:,jr,j:r你的,你们的7handbag'hndbgn.女用手提包8pardon'pɑ:dnint.原谅,请再说一遍9ititpron.它10thankyou感谢你们11verymuch非常地Lesson21penpenn.钢笔2pencil'pensln.铅笔3bookbukn.书4watchwtn.手表5coatkutn.上衣,外衣6dressdresn.连衣裙7skirtsk:tn.裙子8shirt:tn.衬衣9carkɑ:n.小汽车10househausn.房子Lesson31umbrellam'breln.伞2pleasepli:zint.请3herehiad.这里4mymai我的5ticket'tikitn.票6number'nmbn.号码7fivefaivnum.五8sorry'sria.对不起的9sirs:n.先生10cloakroom'klukru:mn.衣帽存放处Lesson41suitsu:t,sju:tn.一套衣服2schoolsku:ln.学校3teacher'ti:tn.老师4sonsnn.儿子5daughter'd:tn.女儿Lesson51Mr.'mist先生2goodguda.好3morning'm:nin.早晨4Missmis小姐5newnju:a.新的6student'stju:dntn.学生7Frenchfrenta.&n.法国人8German'd:mna.&n.德国人9nice'naisa.美好的10meetmi:tv.遇见11Japanesedp'ni:za.&n.日本人12Koreank'rina.&n.韩国人13Chinesetai'ni:za.&n.中国人14tootu:ad.也Lesson61makemeikn.产品的牌号2Swedish'swi:dia.瑞典的3English'iglia.英国的4American'merikna.美国的5Italiani'tlina.意大利的6Volvo'vlvn.沃尔沃7Peugeotn.标致8Mercedes'm:sidi:zn.梅赛德斯9Toyota'tj tn.丰田10Daewoon.大宇11Mini'minin.迷你12Fordf:dn.福特13Fiat'fait,-tn.菲亚特Lesson71Iaipron.我2amm,m,m动词现在时第一人称单数3areɑ:动词现在时复数4name'neimn.名字5whatwt,wɑ:ta.&pron.什么6nationalityn'nlitin.国籍7jobdbn.工作8keyboard'ki:b:dn.电脑键盘9operator'preitn.操作人员10engineerendi'nin.工程师Lesson81policemanp'li:smnn.警察2policewomanp'li:s,wumnn.女警察3taxidriver出租汽车司机4airhostess空中小姐5postman'pustmnn.邮递员6nursen:sn.护士7mechanicmi'knikn.机械师8hairdresser'hedresn.理发师9housewife'hauswaifn.家庭妇女10milkman'milkmnn.送牛奶的人Lesson91helloh'luint.喂表示问候2hihaiint.喂,嗨3howhauad.怎样4todayt'deiad.今天5wellwela.身体好6finefaina.美好的7thanksθksint.谢谢8goodbyegud'baiint.再见9seesi:v.见Lesson101fatfta.胖的2woman'wumnn.女人3thinθina.瘦的4tallt:la.高的5short:ta.矮的6dirty'd:tia.脏的7cleankli:na.干净的8hothta.热的9coldkulda.冷的10oldulda.老的11youngja.年轻的12busy'bizia.忙的13lazy'leizia.懒的Lesson111whosehu:zpron.谁的2blueblu:a.蓝色的3perhapsp'hpsad.大概4whitewaita.白色的5catchktv.抓住Lesson121father'fɑ:en.父亲2mother'men.母亲3blouseblauzn.女衬衫4sistersistn.姐,妹5tietain.领带6brother'bren.兄,弟7hishiz他的8herh:她的Lesson131colour'kln.颜色2greengri:na.绿色3comekmv.来4upstairsp'stezad.楼上5smartsmɑ:ta.时髦的,巧妙的6hathtn.帽子7sameseima.相同的8lovely'lvlia.可爱的,秀丽的Lesson141casekeisn.箱子2 carpet'kɑ:pitn.地毯3dogdgn.狗Lesson151Customs'kstmzn.海关2officer'fisn.官员3girlg:ln.女孩,姑娘4Danish'deinia.&n.丹麦人5friend'deinia.&n.丹麦人6Norwegiann:'wi:dna.&n.挪威人7passport'pɑ:sp:tn.护照8brownbrauna.棕色的9tourist'turistn.旅游者Lesson161Russian'rna.&n.俄罗斯人2Dutchdta.&n.荷兰人3theseei:zpron.这些this的复数4redreda.红色的5greygreia.灰色的6yellow'jelua.黄色的7blackblka.黑色的8orange'rinda.橘黄色的Lesson17 1employeeim'pli-i:n.雇员2hard-working'hɑ:dw:kia.勤奋的3salesreps推销员4manmnn.男人5office'fisn.办公室6assistant'sistntn.助手Lesson191matter'mtn.事情2children'tildrnn.孩子们child 的复数3tired'taida.累,疲乏4boybin.男孩5thirsty'θ:stia.渴6mum'mmn.妈妈儿语7sitdownsit'daun坐下8rightraita.好,可以9icecreamais'kri:m冰淇淋Lesson201bigbiga.大的2smallsm:la.小的3open'upna.开着的4shutta.关着的5lightlaita.轻的6heavy'hevia.重的7longla.长的8shoeu:n.鞋子9grandfather'grndfɑ:en.祖父,外祖父10grandmother'grnmen.祖母,外祖母Lesson211 givegivv.给2 onewnpron.一个3whichwit哪一个Lesson221empty'emptia.空的2fullfula.满的3largelɑ:da.大的4little'litla.小的5sharpɑ:pa.尖的,锋利的6smallsm:la.小的7bigbiga.大的8bluntblnta.钝的9boxbksn.盒子,箱子10glassglɑ:sn.杯子11cupkpn.茶杯12bottle'btln.瓶子13tintinn.罐头14knifenaifn.刀子15forkf:kn.叉子Lesson231onnprep.在…之上2shelfelfn.架子,搁板Lesson241deskdeskn.课桌2table'teibln.桌子3platepleitn.盘子4cupboard'kbdn.食橱5cigarettesig'retn.香烟6television'telivin,teli'vinn.电视机7floorfl:n.地板8dressingtable梳妆台9magazinemg'zi:nn.杂志10bedbedn.床11newspaper'nju:speipn.报纸12stereo'steriu,'stir-n.立体声音响Lesson251Mrs.'misiz夫人2kitchen'kitinn.厨房3refrigeratorri'fridreitn.电冰箱4rightraitn.右边5electrici'lektrika.带电的,可通电的6leftleftn.左边7cooker'kukn.炉子,炊具8middle'midln.中间9ofv,,vprep.属于…的10roomru:mn.房间11cupkpn.杯子Lesson261wherewead.在哪里2inprep.在…里Lesson271livingroom'liviru:m客厅2nearniprep.靠近3window'windun.窗户4armchair'ɑ:mten.手扶椅5doord:n.门6picture'piktn.图画7wallw:ln.墙Lesson281trousers'trauzzn.〔复数〕长裤Lesson291shuttv.关门2bedroom'bedrum,-ru:mn.卧室3untidyn'taidia.乱,不整齐4mustmstmodalverb.必须,应该5open'upnv.打开6airev.使…通风,换换空气7putputv.放置8clotheskluezn.衣服9wardrobe'w:drubn.大衣柜10dustdstv.掸掉灰尘11sweepswi:pv.扫Lesson301empty'emptiv.倒空,使…变空2readri:dv.读3sharpen'ɑ:pnv.削尖,使锋利4putonput'n穿上5takeoff脱掉6turnont:nn开电灯7turnoff关电灯Lesson311garden'gɑ:dnn.花园2under'ndprep.在…之下3treetri:n.树4 climbklaimv.爬,攀登5whohu:pron.谁6runrnv.跑7grassgrɑ:sn.草,草地8after'ɑ:ftprep.在…之后9catktn.猫Lesson321typetaipv.打字2letter'letn.信3basket'bɑ:skitn.篮子4eati:tv.吃5bonebunn.骨头6cleankli:nv.清洗7toothtu:θn.牙齿8cookkukv.做饭菜9milkmilkn.牛奶10mealmi:ln.饭,一顿饭11drinkdrikv.喝12taptpn.水龙头Lesson331daydein.日子2cloudklaudn.云3skyskain.天空4sunsnn.太阳5shineainv.照耀6withwie,wiθprep.和…在一起7family'fmlin.家庭成员8walkw:kv.走路,步行9over'uvprep.跨越,在…之上10bridgebridn.桥11boatbutn.船12river'rivn.河13shipipn.轮船15aeroplane'erpleinn.飞机1615flyflaiv.飞Lesson341sleepsli:pv.睡觉2shaveeivv.刮脸4crykraiv.哭,喊4washwv.洗5waitweitv.等6jumpdmpv.跳Lesson351photograph'futgrɑ:fn.照片2village'vilidn.村庄3valley'vlin.山谷4betweenbi'twi:nprep.在…之间5hillhiln.小山6another'neprep.另一个7wifewaifn.妻子8along'lprep.沿着9bankbkn.河岸10water'w:tn.水11swimswimv.游泳12across'krsprep.横过13building'bildin.大楼,建筑物14parkpɑ:kn.公园15into'intu,'intprep.进入Lesson361besidebi'saidprep.在…旁2offfprep.离开Lesson371workw:kv.工作2hard'hɑ:dad.努力地3makemeikv.做4bookcase'buk-keisn.书橱,书架5hammer'hmn.锤子6paintpeintv.上漆,涂7pinkpikn.&a.粉红色8favourite'feivrita.最喜欢的Lesson381homework'humw:kn.作业2listen'lisnv.听3dishdin.盘子,碟子Lesson391frontfrntn.前面2infrontof在…之前3careful'kefula.小心的,仔细的4vasevɑ:z,veis,veizn.花瓶5dropdrpv.掉下5flower'flaun.花Lesson401showuv.给…看2sendsendv.送给3taketeikv.带给Lesson411cheeseti:zn.乳酪,干酪2breadbredn.面包3soapsupn.肥皂4chocolate'tklitn.巧克力5sugar'ugn.糖6coffee'kfin.咖啡7teati:n.茶8tobaccot'bkun.烟草,烟丝Lesson421birdb:dn.鸟2any'enidet.一些3somesmdet.一些Lesson431ofcoursev'k:s当然2kettle'ketln.水壶3behindbi'haindprep.在…后面4teapot'ti:ptn.茶壶5nownauad.现在,此刻6findfaindv.找到7boilbilv.沸腾,开Lesson451cankn能够2bossbsn.老板,上司3minute'minit,mai'nju:tn.分钟4askɑ:skv.请求,要求5handwriting'hndraitin.书写6terrible'terbla.糟糕的,可怕的Lesson461liftliftv.拿起,搬起,举起2cakekeikn.饼,蛋糕3biscuit'biskitn.饼干Lesson471likelaikv.喜欢,想要2wantwnt,wɑ:ntv.想Lesson481freshfrea.新鲜的2eggegn.鸡蛋3butter'btn.黄油4purepjua.纯净的5honey'hnin.蜂蜜6riperaipa.成熟的7bananab'nɑ:nn.香蕉8jamdmn.果酱9sweetswi:ta.甜的10orange'rindn.橙11Scotchwhisky苏格兰威士忌12choicetisa.上等的,精选的13apple'pln.苹果14winewainn.酒,果酒15beerbin.啤酒16blackboard'blkb:dn.黑板Lesson491butcher'butn.卖肉的2meatmi:tn.食用肉3 beefbi:fn.牛肉4lamblmn.羔羊肉5husband'hzbndn.丈夫6steaksteikn.牛排7minceminsn.肉馅,绞肉8chicken'tikinn.鸡9telltelv.告诉10truthtru:θn.实情11either'aiead.也用于否定句Lesson501tomatot'mɑ:tun.西红柿2potatop'teitun.土豆3cabbage'kbidn.卷心菜4lettuce'letisn.莴苣5peapi:n.豌豆6beanbi:nn.豆角7pearpen.梨8grapegreipn.葡萄9peachpi:tn.桃Lesson511Greecegri:sn.希腊2climate'klaimitn.气候3country'kntrin.国家4pleasant'pleznta.宜人的5weather'ween.天气6springsprin.春季7windy'windia.有风的8warmw:ma.温暖的9rainreinv.下雨10sometimes'smtaimzad.有时11summer'smn.夏天12autumn':tmn.秋天13winter'wintn.冬天14snowsnuv.下雪15January'dnjuri月16February'februri月17Marchmɑ:t月18April'eiprl月19Maymei月20Junedu:n月21Julydu'lai月22August':gst月23Septembersep'temb月24Octoberk'tub月25Novembernu'vemb月26Decemberdi'semb月Lesson521the.美国2Brazilbr'ziln.巴西3Holland'hlndn.荷兰4England'iglndn.英国5France'frnsn.法国6Germany'd:mnin.德国7Italy'itlin.意大利8Norway'n:wein.挪威9Russia'rn.俄罗斯10Spainspeinn.西班牙11Sweden'swi:dnn.瑞典Lesson531mildmailda.温和的,温暖的2always':lweizad.总是3northn:θn.北方4easti:stn.东方5wetweta.潮湿的6westwestn.西方7southsauθn.南方8season'si:znn.季节9bestbestad.最10nightnaitn.夜晚11riseraizv.升起12early':liad.早13setsetv.太阳落下去14lateleitad.晚,迟15interesting'intristia.有趣的,有意思的16subject'sbdiktn.话题17conversationknv'seinn.谈话Lesson541Australia'streilin.澳大利亚2Australian'streilinn.澳大利亚人3Austria'strin.奥地利4Austrian'strinn.奥地利人5Canada'kndn.加拿大6Canadiank'neidinn.加拿大人7China'tainn.中国8Finland'finlndn.芬兰9Finnish'finin.芬兰人10India'indin.印度11Indian'indinn.印度人12Japand'pnn.日本13Nigerianai'dirin.尼日利亚14Nigeriannai'dirinn.尼日利亚人15Turkey't:kin.土耳其16Turkish't:kin.土耳其人17Koreak'ri,k:'rin.韩国18Polish'pulin.波兰人19Poland'pulndn.波兰20Thaitain.泰国人21Thailand'tailndn.泰国Lesson551livelivv.住,生活2staysteiv.呆在,停留3homehumn.家ad.在家,到家4housework'hausw:kn.家务5lunchlntn.午饭6afternoonɑ:ft'nu:nn.下午7usually'ju:uli,'ju:liad.通常8togethert'geead.一起9evening'i:vnin.晚上10arrive'raivv.到达11nightnaitn.夜间Lesson571o'clock'klkad.点钟2shoppn.商店3moment'mumntn.片刻,瞬间Lesson591envelope'envlupn.信封2writingpaper信纸3shopassistant售货员4sizesaizn.尺寸,尺码,大小5padpdn.信笺簿6glueglu:n.胶水7chalkt:kn.粉笔8changeteindn.零钱,找给的钱Lesson61 1feelfi:lv.感觉2looklukv.看起来3mustmst必须4callk:lv.叫,请5doctor'dktn.医生6telephone'telifunn.电话7rememberri'membv.记得,记住8mouthmauθn.嘴9tonguetn.舌头10badbda.坏的,严重的11coldkuldn.感冒12newsnju:zn.消息13headache'hedeikn.头痛14aspirin'sprinn.阿斯匹林15earache'ireikn.耳痛16toothache'tu:θeikn.牙痛17dentist'dentistn.牙医18stomachache胃痛19medicine'medsnn.药20temperature'temprtn.温度21fluflu:n.流行性感冒22measles'mi:zlzn.麻疹23mumpsmmpsn.腮腺炎Lesson631better'beta.形容词well的比较级2certainly's:tnliad.当然3getupgetp起床4yetjetad.还,仍5richrita.油腻的6foodfu:dn.食物7remainri'meinv.保持,继续Lesson641playpleiv.玩2matchmtn.火柴3talkt:kv.谈话4library'laibrrin.图书馆5drivedraivv.开车6sosuad.如此地7quickly'kwikliad.快地8leanoutof身体探出9breakbreikv.打破Lesson651Dadddn.爸儿语2keyki:n.钥匙3baby'beibin.婴儿4hearhiv.听见5enjoyin'div.玩得快活6yourselfj'selfpron.你自己7ourselvesau'selvzpron.我们自己Lesson661myselfmai'selfpron.我自己2themselvesem'selvzpron.他们自己3himselfhim'selfpron.他自己4herselfh:'selfpron.她自己Lesson67greengrocer'gri:ngrusn.蔬菜水果零售商2absent'bsnt,b'senta.缺席的3Monday'mndin.星期一4Tuesday'tju:zdi:,'tu:z-n.星期二5Wednesday'wenzdin.星期三6Thursday'θ:zdi星期四7keepki:pv.身体健康处于状况8spendspendv.度过9weekend'wi:kend,wi:k'endn.周末10Friday'fraidin.星期五11Saturday'stdin.星期六12Sunday'sndin.星期日13country'kntrin.乡村14lucky'lkia.幸运的Lesson681churcht:tn.教堂2dairy'derin.乳品店3baker'beikn.面包师傅4grocer'grusn.食品杂货商Lesson691yearji,j:n.年2racereisn.比赛3towntaunn.城镇4crowdkraudn.人群5standstndv.站立6excitingik'saitia.使人激动的7justdstad.正好,恰好8finish'finin.结尾,结束9winner'winn.获胜者10behindbi'haindprop.在…之后11waywein.路途Lesson711awful':fulad.让人讨厌的,坏的2telephone'telifunv.&n.打电话3timetaimn.次数4answer'ɑ:nsv.接电话5lastlɑ:sta.最后的,前一次的6phonefunn.电话=telephone7again'geinad.又一次地8sayseiv.说Lesson731weekwi:kn.周2London'lndnn.伦敦3suddenly'sdnliad.突然地4busstop'bstp公共汽车车站5smilesmailv.微笑6pleasantly'plezntliad.愉快地7understandnd'stndv.懂,明白8speakspi:kv.讲,说9handhndn.手10pocket'pkitn.衣袋11phrasebookn.短语手册,常用语手册12phrasefreizn.短语13slowly'sluliad.缓慢地Lesson741hurriedly'hridliad.匆忙地2cutktv.割,切3thirstily'θ:stiliad.口渴地4goguv.走5greetgri:tv.问候,找招呼Lesson751ago'guad.以前2buybaiv.买3pairpen.双,对4fashion'fnn.服装的流行式样5uncomfortablen'kmftbla.不舒服的6wearwev.穿着Lesson771appointment'pintmntn.约会,预约2urgent':dnta.紧急的,急迫的3tilltilprep.直到…为止Lesson791shopping'pin.购物2listlistn.单子3vegetable'vedtbln.蔬菜4needni:dv.需要5hopehupv.希望6thingθin.事情7money'mni n.钱Lesson80 1groceries'grusrizn.食品杂货2fruitfru:tn.水果3stationery'steinri,-nerin.文具4newsagent'nju:zeidntn.报刊零售人5chemist'kemistn.化剂师,化学家Lesson811bathbɑ:θn.洗澡2nearly'niliad.几乎,将近3ready'redia.准备好的,完好的4dinner'dinn.正餐,晚餐5restaurant'restrntn.饭馆,餐馆6roastrusta.烤的Lesson821breakfast'brekfstn.早饭2haircut'hektn.理发3party'pɑ:tin.聚会4holiday'hlidin.假日Lesson831messmesn.杂乱,凌乱2packpkv.包装,打包,装箱3suitcase'su:tkeis,'sju:tn.手提箱4 leaveli:vv.离开5already:l'rediad.已经Lesson851Paris'prisn.巴黎2cinema'sinimn.电影院3filmfilmn.电影4beautiful'bju:tifla.漂亮的5city'sitin.城市6never'nevad.从来没有7ever'evad.在任何时候Lesson871attendant'tendntn.接待员2bringbriv.带来,送来3garage'grɑ:n.车库,汽车修理厂4crashkrn.碰撞5lamp-postlmppust灯杆6repairri'pev.修理7trytraiv.努力,设法Lesson891believebi'li:vv.相信,认为2maymei用于请求许可可以3howlong多长4sincesinsprep.自从5whywaiad.为什么6sellselv.卖,出售7becausebi'kzconj.因为8retireri'taiv.退休9costkstv.花费10poundpaundn.英镑11worthw:θprep.值…钱12penny'penin.便士Lesson911stillstilad.还,仍旧2movemu:vv.搬家3missmisv.想念,思念4neighbour'neibn.邻居5person'p:snn.人6people'pi:pln.人们7poorpua.可怜的Lesson931pilot'pailtn.飞行员2returnri't:nv.返回3NewYork'nju:'j:kn.纽约4Tokyo'tukjun.东京5Madridm'dridn.马德里6flyflaiv.飞行Lesson941Athens'θinzn.雅典2Berlinb:'linn.柏林3Bombaybm'bein.孟买4Genevadi'ni:vn.日内瓦5Moscow'mskun.莫斯科6Romerumn.罗马7Seoulsuln.汉城8Stockholm'stkhoumn.斯德哥尔摩9Sydney'sidnin.悉尼Lesson951returnri't:nn.往返2traintreinn.火车3platform'pltf:mn.站台4plenty'plentin.大量5barbɑ:n.酒吧6station'steinn.车站,火车站7catchktv.赶上8missmisv.错过Lesson971leaveli:vv.遗留2describedi'skraibv.描述3zipzipn.拉链4label'leibln.标签5handle'hndln.提手,把手6address'dresn.地址7pencepens的复数形式8belongbi'lv.属于Lesson991owauint.哎哟2slipslipv.滑倒,滑了一脚3fallf:lv.落下,跌倒4downstairsdaun'stezad.下楼5hurth:tv.伤,伤害,疼痛6backbkn.背7standup起立,站起来8helphelpv.帮助9atoncet'wns立即10sureua.一定的,确信的11X-ray'eksrei光透视Lesson1011Scotland'sktlndn.苏格兰英国2cardkɑ:dn.明信片3youthju:θn.青年4hostel'hstln.招待所,旅馆5associationsusi'einn.协会6soonsu:nad.不久7writeraitv.写Lesson1031examig'zmn.考试2passpɑ:sv.及格,通过3mathematicsmθ'mtiksn.数学4question'kwestnn.问题5easy'i:zia.容易的6enoughi'nfad.足够地7paper'peipn.考卷8failfeilv.未及格,失败9answer'ɑ:nsv.回答10markmɑ:kn.分数11restrestn.其他的东西12difficult'difiklta.困难的13 hateheitv.讨厌14lowlua.低的15cheertiv.振作,振奋16guygain.家伙,人17toptpn.上方,顶部Lesson1041clever'kleva.聪明的2stupid'stju:pida.笨的3cheapti:pa.便宜的4expensiveik'spensiva.贵的5freshfrea.新鲜的6stalesteila.变馊的7lowlua.低的,矮的8loudlauda.大声的9highhaia.高的10hard'hɑ:da.硬的11sweetswi:ta.甜的12softsfta.软的13soursaua.酸的Lesson1051spellspelv.拼写2 intelligentin'telidnta.聪明的,有智慧的3mistakemis'teikn.错误4presentpri'zent,'prezntn.礼物5dictionary'diknrin.词典Lesson1061carry'kriv.携带2correctk'rektv.改正,纠正Lesson1071madam'mdmn.夫人,女士对妇女的尊称2aswell同样3suitsu:t,sju:tv.适于4pretty'pritia.漂亮的Lesson1091ideaai'din.主意2alittle少许用于不可数名词之前3teaspoonful'ti:spu:nfuln.一满茶匙4lesslesa.little的比较级校少的,更小的5afew几个用于可数名词之前6pity'pitin.遗憾7insteadin'stedad.代替8adviced'vaisn.建议,忠告Lesson1101mostmusta.many,much的最高级最多的2leastli:sta.little的最高级最小的,最少的3bestbesta.good的最高级最好的4worsew:sa.bad的比较级更坏的5worstw:sta.bad的最高级最坏的Lesson1111model'mdln.型号,式样2afford'f:dv.付得起钱3depositdi'pzitn.预付定金4instalmentin'st:lmntn.分期付款5pricepraisn.价格6millionairemilj'nen.百万富翁Lesson1131conductorkn'dktn.售票员2farefen.车费,车票3changeteindv.兑换钱4notenutn.纸币5passenger'psindn.乘客6nonennpron.没有任何东西7neither'naie,'ni:ead.也不8getoff下车9tramptrmpn.流浪汉10exceptik'septprep.除…外Lesson1151 anyone'eniwnpron.用于疑问句,否定式任何人2knocknkv.敲,打3everything'evriθipron.一切事物4quiet'kwaita.宁静的,安静的5impossibleim'psbla.不可能的6invitein'vaitv.邀请7anything'eniθipron.任何东西8nothing'nθipron.什么也没有9lemonadelem'neidn.柠檬水10jokedukv.开玩笑Lesson1161asleep'sli:pa.睡觉,睡着用作表语2glasses'gla:sizn.眼镜Lesson1171diningroom饭厅2coinkinn.硬币3mouthmauθn.嘴4swallowswluv.吞下5later'leitad.后来6toilet'tilitn.厕所,盥洗室Lesson1181ringriv.响Lesson1191story'st:rin.故事2happen'hpnv.发生3thiefθi:fn.贼4enter'entv.进入5darkdɑ:ka.黑暗的6torcht:tn.手电筒7voicevisn.说话的声音8parrot'prtn.鹦鹉Lesson1201exercisebook练习本Lesson1211customer'kstmn.顾客2forgetf'getv.忘记3manager'mnidn.经理4serves:vv.照应,服务,接待5counter'kauntn.柜台6recognize'rekgnaizv.认识Lesson1221roadrudn.路Lesson1231during'djuriprep.在…期间2triptripn.旅行3travel'trvlv.旅行4offer'fv.提供5jobdbn.工作6guessgesv.猜7growgruv.长,让…生长8beardbidn.下巴上的胡子,络腮胡子Lesson1241kitten'kitnn.小猫Lesson1251water'w:tv.浇水2terribly'terbliad.非常3drydraia.干燥的,干的4nuisance'nju:snsn.讨厌的东西或人5meanmi:nv.意味着,意思是6surprises'praizn.惊奇,意外的事Lesson1261immediatelyi'mi:ditliad.立即地Lesson1271famous'feimsa.着名的2actress'ktrisn.女演员3atleast至少4actor'ktn.男演员5readri:dv.通过阅读得知Lesson1291waveweivv.招手2tracktrkn.跑道3milemailn.英里4overtakeuv'teikv.从后面超越,超车5speedspi:d限速6dreamdri:mv.做梦,思想7signsainn.标记,牌子8drivinglicence'draivi'laisns 驾驶执照9chargetɑ:dv.罚款10darling'dɑ:lin.亲爱的用作表示称呼Lesson1311Egypt'i:diptn.埃及2abroad'br:dad.国外3worry'wriv.担忧Lesson1331reporterri'p:tn.记者2 sensationalsen'seinla.爆炸性的,耸人听闻的3minkcoat'mik-kut貂皮大衣Lesson1351future'fju:tn.未来的2getmarried结婚3hotelhu'teln.饭店4latest'leitista.最新的5introduce'intr'dju:sv.介绍Lesson1371football'futb:ln.足球2poolpu:ln.赌注3winwinv.赢4worldw:ldn.世界5poorpua.贫穷的6dependdi'pendv.依靠on Lesson1391extra'ekstra.额外的2engineerendi'nin.工程师3overseasuv'si:za.海外的,国外的4engineeringendi'nirin.工程5company'kmpnin.公司6linelainn.线路Lesson1411excitedik'saitida.兴奋的2geton登上3middle-aged'midl'eidida.中年的4opposite'pzitprep.在…对面5curiously'kjurisliad.好奇地6funny'fnia.可笑的,滑稽的7powder'paudn.香粉8compact'kmpktn.带镜的化妆盒9kindly'kaindliad.和蔼地10ugly'glia.丑陋的11amused'mju:zda.有趣的12smilesmailv.微笑13embarrassedim'brsta.尴尬的,窘迫的Lesson1421worried'wrida.担心,担忧2regularly'regjulliad.经常地,定期地Lesson1431surrounds'raundv.包围2woodwudn.树林3beautyspot风景点4hundred'hndridn.百5city'sitin.城市6throughθru:prep.穿过7visitor'vizitn.参观者,游客,来访者8tidy'taidia.整齐的9litter'litn.杂乱的东西10litterbasket废物筐11placepleisv.放12throwθruv.扔,抛13rubbish'rbin.垃圾14countkauntv.数,点15cover'kvv.覆盖16 piecepi:sn.碎片17tyre'tain.轮胎18rusty'rstia.生锈的19among'mprep.在…之间20prosecute'prsikju:tv.依法处置。
新概念英语第一册单词大全前言我身边很多朋友的小孩子都在学习新概念英语,他们也会经常的问我,学新概念英语有用么?上初中以后成绩能拔尖么?我的回答是,如果你是抱着十分功利的目的去让孩子学新概念,那还不如不学。
我个人认为新概念一册的学习应该是以口语和阅读为主,更多的是引导孩子喜欢上英语及初步了解外国的生活习惯,交际习惯等等。
对于第一册的学习更多的应该是开口,积累词汇,适当的了解基本语法结构同时拓展阅读。
而不是因为学了新概念就能够上学考多少分。
啰嗦了几句,希望看到我话的朋友们。
能够重新考虑下,您让孩子学习新概念到底是抱有什么样的目的,如果就是为了考试的话,我建议你也别逼迫孩子学。
因为我教学经验是,孩子小时候被大人压榨的太狠,上初中基本就没什么后劲了。
尤其男孩子,会有很强的厌学情绪。
对于课文背诵的问题:第一点:尽量利用早晨、中午、晚上每次10分钟就可以,毕竟内容并不多。
第二点:利用空闲时间重复背诵以前背过的课文,哪怕只是其中的几句都可以。
比如今天背诵第一课,明天背诵第二课。
第三天复习第1、2课,第四天背诵第三课,如此往复。
第三点:每天听录音,然后模仿读音,这个非常重要。
从小磨耳朵对小孩子的英文素养很有用。
也许刚开始的时候孩子听不懂,记不住,但这需要一个过程,坚持一段时间,你就会发现你的孩子要比其他的孩子在口语表达和听力上强了很多。
录音非常重要,必须天天听!真不多废话了,欢迎大家给我留言,一起探讨,也可以关注我头条号。
谢谢。
下面是新概念英语第一册书Lesson 1-Lesson 143 的全部单词英译汉可以打印出来给孩子作为单词考查和评测使用。
Lesson 11 excuse [ik'skju:z] v.2 me [mi:, mi] pron.3 yes [jes] ad.4 is [iz, s, z, ?z] v.5 this [eis] pron.6 your [j?:, j?:, j?r, j?:r] pron.7 handbag ['h?ndb?g] n.8 pardon ['pɑ:d?n] int.9 it [it] pron.10 thank you11 very muchLesson 21 pen [pen] n.2 pencil ['pensl] n.3 book [buk] n.4 watch [w?t?] n.5 coat [k?ut] n.6 dress [dres] n.7 skirt [sk?:t] n.8 shirt [??:t] n.9 car [kɑ:] n.10 house [haus] n.Lesson 31umbrella [?m'brel?] n.2 please [pli:z] int.3 here [hi?] ad.4 my [mai]5 ticket ['tikit] n.6 number ['n?mb?] n.7 five [faiv] num.8 sorry ['s?ri] a.9 sir [s?:] n.10 cloakroom ['kl?ukru:m] n.Lesson 41 suit [su:t, sju:t] n.2 school [sku:l] n.3 teacher ['ti:t??] n.4 son [s?n] n.5 daughter['d?:t?]n.Lesson 51 Mr. ['mist?]2 good [gud] a.3 morning ['m?:ni?] n.4 Miss [mis]5 new [nju:] a.6 student ['stju:d?nt] n.7 French [frent?] a.& n.8 German ['d??:m?n] a.& n.9 nice ['nais] a.10 meet [mi:t] v.11 Japanese [d??p?'ni:z] a.& n.12 Korean [k?'ri?n] a.& n.13 Chinese [t?ai'ni:z] a.& n.14 too [tu:] ad.Lesson 61 make [meik] n.2 Swedish ['swi:di?] a.3 English ['i?gli?] a.4 American[?'merik?n] a.5 Italian [i't?li?n] a.6 V olvo ['v?lv??] n.沃尔沃7 Peugeot n.标致8 Mercedes ['m?:sidi:z] n.梅赛德斯9 Toyota ['t??j??t?] n.丰田10 Daewoo n.大宇11 Mini ['mini] n.迷你12 Ford [f?:d] n.福特13 Fiat ['fai?t, -?t] n.菲亚特Lesson 71 I [ai] pron.2 am [m, ?m, ?m] v.3 are [ɑ:] v.4 name ['neim] n.5 what [w?t, wɑ:t] a.& pron.6 nationality [n???'n?liti] n.7 job [d??b] n.8 keyboard ['ki:b?:d] n.9 operator['?p?reit?] n.10 engineer [end?i'ni?] n.Lesson 81 policeman [p?'li:sm?n] n.2 policewoman [p?'li:s,wum?n] n.3 taxi driver4 air hostess5 postman ['p?ustm?n] n.6 nurse [n?:s] n.7 mechanic [mi'k?nik] n.8 hairdresser['he??dres?] n.9 housewife ['hauswaif] n.10 milkman ['milkm?n]n.Lesson 91 hello [h?'l?u] int.2 hi [hai] int.3 how [hau] ad.4 today [t?'dei] ad.5 well [wel] a.6 fine [fain] a.7 thanks [θ??ks] int.8 goodbye [gud'bai] int.9 see [si:] v.Lesson 101 fat [f?t] a.2 woman['wum?n] n.3 thin [θin] a.4 tall [t?:l] a.5 short [??:t] a.6 dirty['d?:ti] a.7 clean [kli:n] a.8 hot [h?t] a.9 cold [k?uld] a.10 old [?uld] a.11 young [j??] a.12 busy ['bizi] a.13 lazy ['leizi]a.Lesson 111 whose [hu:z] pron.2 blue [blu:] a.3 perhaps[p?'h?ps] ad.4 white [wait] a.5 catch [k?t?] v.Lesson 121 father['fɑ:e?] n.2 mother ['m?e?] n.3 blouse [blauz] n.4 sister [sist?] n.5tie [tai] n.6 brother ['br?e?] n.7 his [hiz]8 her [h?:]Lesson 131 colour ['k?l?] n.2 green [gri:n] a.3 come [k?m] v.4 upstairs[?p'ste?z] ad.5 smart [smɑ:t] a.6 hat [h?t] n.7 same [seim] a.8 lovely ['l?vli] a.Lesson 141 case [keis] n.2 carpet ['kɑ:pit] n.3 dog [d?g] n.Lesson 151 Customs ['k?st?mz] n.2 officer ['?fis?] n.3 girl [g?:l] n.4 Danish ['deini?] a.& n.5 friend ['deini?] a.& n.6 Norwegian [n?:'wi:d??n] a.& n.7 passport ['pɑ:sp?:t] n.8 brown [braun] a.9 tourist ['tu?rist] n.Lesson 161 Russian ['r???n] a.& n.2 Dutch [d?t?] a.& n.3 these [ei:z] pron.4 red [red] a.5 grey [grei] a.6 yellow ['jel?u] a.7 black [bl?k] a.8 orange ['?rind?] a.Lesson 171 employee [im'pl?i-i:] n.2 hard-working ['hɑ:dw?:ki?] a.3 sales reps4 man [m?n] n.5 office ['?fis] n.6assistant [?'sist?nt] n.Lesson 191 matter ['m?t?] n.2 children['t?ildr?n] n.3 tired ['tai?d] a.4 boy [b?i] n.5 thirsty ['θ?:sti] a.6 mum ['m?m] n.7 sit down [?sit'daun]8 right [rait] a.9 ice cream[ais'kri:m]Lesson 201 big [big] a.2 small [sm?:l] a.3 open ['?up?n] a.4 shut [??t] a.5 light [lait] a.6 heavy ['hevi] a.7 long [l??] a.8 shoe [?u:] n.9 grandfather ['gr?ndfɑ:e?] n.10 grandmother ['gr?nm?e?]n.Lesson 211 give [giv] v.2 one [w?n] pron.3 which [wit?]Lesson 221 empty ['empti] a.2 full [ful] a.3 large [lɑ:d?] a.4 little ['litl] a.5sharp [?ɑ:p] a.6 small [sm?:l] a.7 big [big] a.8 blunt [bl?nt] a.9 box [b?ks] n.10 glass [glɑ:s] n.11 cup [k?p] n.12 bottle ['b?tl] n.13 tin [tin] n.14 knife [naif] n.15 fork [f?:k] n.Lesson 231 on [?n] prep.2shelf [?elf] n.Lesson 241desk [desk] n.2 table ['teib?l] n.3 plate [pleit] n.4 cupboard['k?b?d] n.5 cigarette [sig?'ret] n.6 television ['telivi??n,teli'vi??n] n.7 floor [fl?:] n.8 dressing table9 magazine[m?g?'zi:n] n.10 bed [bed] n.11 newspaper ['nju:speip?] n.12 stereo ['steri?u, 'sti?r-] n.Lesson 251 Mrs. ['misiz]2 kitchen['kit?in] n.3 refrigerator [ri'frid??reit?] n.4 right [rait] n.5 electric [i'lektrik] a.6 left [left] n.7 cooker ['kuk?] n.8 middle['midl] n.9 of [?v, ?, ?v] prep.10 room [ru:m] n.11 cup [k?p] n.Lesson 261 where [we?] ad.2 in [in] prep.Lesson 271 living room ['livi? ru:m]2 near [ni?] prep.3 window ['wind?u] n.4 armchair ['ɑ:mt?e?] n.5 door [d?:] n.6 picture ['pikt??] n.7 wall [w?:l]n.Lesson 281 trousers ['trauz?z] n.Lesson 291 shut [??t] v.2 bedroom ['bedrum, -ru:m] n.3 untidy [?n'taidi] a.4 must [m?st] modal verb.5 open ['?up?n] v.6 air [e?] v.7 put [put] v.8 clothes [kl?uez] n.9 wardrobe ['w?:dr?ub] n.10 dust [d?st] v.11 sweep [swi:p] v.Lesson 301 empty ['empti] v.2 read [ri:d] v.3 sharpen ['?ɑ:p?n] v.4 put on[put'?n]5 take off6 turn on [t?:n ?n]7 turn offLesson 311 garden ['gɑ:dn] n.2 under ['?nd?] prep.3 tree [tri:] n.4 climb [klaim] v.5 who [hu:] pron.6 run [r?n] v.7 grass [grɑ:s] n.8 after ['ɑ:ft?] prep.9 cat [k?t]n.Lesson 321 type [taip] v.2 letter ['let?] n.3 basket ['bɑ:skit] n.4eat [i:t] v.5 bone [b?un] n.6 clean [kli:n] v.7 tooth [tu:θ] n.8 cook [kuk] v.9 milk [milk] n.10meal [mi:l] n.11 drink [dri?k] v.12 tap [t?p] n.Lesson 331 day [dei] n.2 cloud [klaud] n.3 sky [skai] n.4 sun [s?n] n.5 shine[?ain] v.6 with [wie, wiθ] prep.7 family ['f?m?li] n.8 walk [w?:k] v.9 over ['?uv?] prep.10 bridge [brid?] n.11 boat [b?ut] n.12river ['riv?] n.13 ship [?ip] n.14 aeroplane ['e?r?plein] n.15 fly [flai] v.Lesson 341 sleep [sli:p] v.2 shave [?eiv] v.3 cry [krai] v.4 wash [w??] v.5 wait [weit] v.6 jump [d??mp] v.Lesson 351 photograph['f?ut?grɑ:f] n.2 village ['vilid?] n.3 valley ['v?li] n.4 between[bi'twi:n] prep.5 hill [hil] n.6 another [?'n?e?] prep.7 wife [waif] n.8 along [?'l??] prep.9 bank [b??k] n.10 water['w?:t?] n.11 swim [swim] v.12 across [?'kr?s] prep.13 building['bildi?] n.14 park [pɑ:k] n.15 into ['intu, 'int?] prep.Lesson 361 beside [bi'said] prep.2 off [?f] prep.Lesson 371 work [w?:k] v.2 hard ['hɑ:d] ad.3 make [meik] v.4 bookcase ['buk-keis] n.5 hammer ['h?m?] n.6 paint [peint] v.7 pink [pi?k] n.& a.8 favourite ['feiv?rit] a.Lesson 381 homework ['h?umw?:k] n.2 listen ['lis?n] v.3 dish [di?] n.Lesson 391front [fr?nt] n.2 in front of3 careful ['ke?ful] a.4 vase [vɑ:z, veis, veiz] n.5 drop [dr?p] v.6 flower ['flau?] n.Lesson 401 show [??u] v.2 send [send] v.3 take [teik] v.Lesson 411 cheese [t?i:z] n.2 bread [bred] n.3 soap [s?up] n.4 chocolate ['t??klit] n.5 sugar ['?ug?] n.6 coffee ['k?fi] n.7 tea [ti:] n.8 tobacco [t?'b?k?u] n.Lesson 421 bird [b?:d]n.2any ['eni] det.3 some [s?m] det.Lesson 431 of course [?v'k?:s]2 kettle ['ketl] n.3 behind [bi'haind] prep.4 teapot ['ti:p?t] n.5 now [nau] ad.6 find [faind] v.7 boil [b?il] v.Lesson 451 can [k?n]2 boss [b?s] n.3 minute ['minit, mai'nju:t] n.4 ask [ɑ:sk] v.5 handwriting['h?ndraiti?] n.6 terrible ['ter?b?l] a.Lesson 461 lift [lift] v.2 cake [keik] n.3 biscuit ['biskit] n.Lesson 471 like [laik] v.2 want [w?nt,wɑ:nt] v.Lesson 481 fresh [fre?] a.2 egg [eg] n.3 butter ['b?t?] n.4 pure [pju?] a.5 honey ['h?ni] n.6 ripe [raip] a.7 banana [b?'nɑ:n?] n.8 jam [d??m] n.9 sweet [swi:t] a.10 orange ['?rind?] n.11 Scotch whisky12 choice [t??is] a.13 apple ['?p?l] n.14 wine [wain] n.15 beer [bi?] n.16 blackboard ['bl?kb?:d] n.Lesson 491 butcher ['but??] n.2 meat [mi:t] n.3 beef [bi:f] n.4 lamb [l?m] n.5 husband ['h?zb?nd] n.6 steak [steik] n.7 mince [mins] n.8 chicken ['t?ikin] n.9 tell [tel] v.10 truth [tru:θ] n.11 either ['aie?] ad.Lesson 501 tomato [t?'mɑ:t?u] n.2 potato[p?'teit?u] n.3 cabbage ['k?bid?] n.4 lettuce ['letis] n.5 pea [pi:] n.6 bean [bi:n] n.7 pear [pe?] n.8 grape [greip] n.9 peach [pi:t?] n.Lesson 511 Greece [gri:s] n.2 climate ['klaimit] n.3 country ['k?ntri] n.4 pleasant ['plez?nt] a.5 weather ['wee?] n.6 spring [spri?] n.7 windy ['windi] a.8 warm [w?:m] a.9 rain [rein] v.10 sometimes ['s?mtaimz]ad.11 summer ['s?m?] n.12 autumn ['?:t?m] n.13 winter ['wint?] n.14 snow [sn?u] v.15 January['d??nju?ri] n.16 February ['febru?ri] n.17 March [mɑ:t?] n.18April ['eipr?l] n.19 May [mei] n.20 June [d?u:n] n.21 July[d?u'lai] n.22 August ['?:g?st] n.23 September [sep'temb?] n.24 October [?k't?ub?] n.25 November [n?u'vemb?] n.26 December [di'semb?] n.Lesson 521 the U.S.2 Brazil [br?'zil] n.3 Holland ['h?l?nd] n.4England ['i?gl?nd] n.5 France ['fr?ns] n.6 Germany ['d??:m?ni] n.7 Italy ['it?li] n.8 Norway ['n?:wei] n.9 Russia['r???] n.10 Spain [spein] n.11 Sweden ['swi:dn] n.Lesson 531 mild [maild] a.2 always ['?:lweiz] ad.3 north [n?:θ] n.4 east [i:st] n.5 wet [wet] a.6 west [west] n.7 south [sauθ] n.8 season ['si:z?n] n.9 best [best] ad.10 night [nait] n.11 rise [raiz] v.12 early ['?:li] ad.13 set [set] v.14 late [leit] ad.15 interesting ['intristi?] a.16 subject['s?bd?ikt] n.17 conversation [k?nv?'sei??n] n.Lesson 541 Australia[?'streili?] n.2 Australian [?'streili?n] n.3 Austria ['?stri?] n.4 Austrian ['?stri?n] n.5 Canada ['k?n?d?] n.6 Canadian [k?'neidi?n] n.7 China ['t?ain?] n.8 Finland ['finl?nd] n.9 Finnish ['fini?] n.10 India ['indi?] n.11 Indian ['indi?n] n.12 Japan [d??'p?n] n.13 Nigeria[nai'd?i?ri?] n.14 Nigerian[nai'd?i?ri?n] n.15 Turkey ['t?:ki] n.16 Turkish ['t?:ki?] n.17 Korea [k?'ri?, k?(:)'ri?] n.18 Polish ['p?uli?] n.19 Poland['p?ul?nd] n.20 Thai [tai] n.21 Thailand ['tail?nd] n.Lesson 551 live [liv] v.2 stay [stei] v.3 home [h?um] n. ad.4 housework['hausw?:k] n.5 lunch [l?nt?] n.6 afternoon [ɑ:ft?'nu:n] n.7usually ['ju:?u?li, 'ju:??li] ad.8 together [t?'gee?] ad.9 evening['i:vni?] n.10 arrive [?'raiv] v.11 night [nait] n.Lesson 571o'clock [?'kl?k] ad.2 shop [??p] n.3 moment ['m?um?nt]n.Lesson 591 envelope ['env?l?up] n.2 writing paper3 shopassistant4 size [saiz] n.5 pad [p?d] n.6 glue [glu:] n.7 chalk [t??:k] n.8 change [t?eind?] n.Lesson 611 feel [fi:l] v.2 look [luk] v.3 must[m?st] modal v.4 call [k?:l] v.5 doctor ['d?kt?] n.6 telephone['telif?un] n.7 remember [ri'memb?] v.8 mouth [mauθ] n.9 tongue [t??] n.10 bad [b?d] a.11 cold [k?uld] n.12 news [nju:z] n.13 headache['hedeik] n.14 aspirin ['?sp?rin] n.15 earache ['i?reik] n.16 toothache ['tu:θeik] n.17 dentist ['dentist] n.18 stomach ache19 medicine['meds?n] n.20 temperature['temp?r?t??] n.21 flu [flu:] n.22 measles ['mi:z?lz] n.麻疹23 mumps [m?mps] n.腮腺炎Lesson 631 better ['bet?] a.2 certainly['s?:t?nli] ad.3 get up [get ?p]4 yet [jet] ad.5 rich [rit?] a.6 food [fu:d] n.7 remain [ri'mein] v.Lesson 641 play [plei] v.2 match [m?t?] n.3 talk [t?:k] v.4 library ['laibr?ri] n.5 drive [draiv] v.6so [s?u] ad.7 quickly ['kwikli] ad.8 lean out of9 break [breik]v.Lesson 651 Dad [d?d] n.2 key [ki:] n.3 baby ['beibi] n.4 hear [hi?] v.5 enjoy [in'd??i] v.6 yourself [j?'self] pron.7 ourselves[au?'selvz] pron.Lesson 661 myself [mai'self] pron.2 themselves[e?m'selvz] pron.3 himself [him'self] pron.4 herself [h?:'self] pron.Lesson 671 greengrocer['gri:n?gr?us?] n.2 absent['?bs?nt, ?b'sent] a.3 Monday ['m?ndi] n.4 Tuesday ['tju:zdi:,'tu:z-] n.5 Wednesday ['wenzdi] n.6 Thursday ['θ?:zdi] n.7 keep [ki:p] v.8 spend [spend] v.9 weekend ['wi:kend, wi:k'end] n.10 Friday ['fraidi] n.11 Saturday ['s?t?di] n.12 Sunday ['s?ndi] n.13 country['k?ntri] n.14 lucky ['l?ki] a.Lesson 681 church [t??:t?] n.2 dairy['de?ri] n.3 baker ['beik?] n.4 grocer ['gr?us?] n.Lesson 691 year [ji?, j?:] n.2 race [reis] n.3 town [taun] n.4 crowd [kraud] n.5 stand [st?nd]v.6 exciting [ik'saiti?] a.7 just [d??st] ad.8 finish ['fini?] n.9 winner ['win?] n.10 behind [bi'haind] prep.11 way [wei] n.Lesson 711 awful ['?:ful] ad.2 telephone ['telif?un] v.& n.3 time [taim] n.4 answer ['ɑ:ns?] v.5 last [lɑ:st] a.6 phone [f?un] n.7 again [?'gein] ad.8 s ay [sei] v.Lesson 731 week [wi:k] n.2 London ['l?nd?n] n.3 suddenly['s?dnli] ad.4 bus stop ['b?st?p]5 smile [smail] v.6 pleasantly['plezntli] ad.7 understand [??nd?'st?nd] v.8 speak [spi:k] v.9 hand [h?nd] n.10 pocket ['p?kit] n.11 phrasebook n.12 phrase [freiz] n.13 slowly ['sl?uli] ad.Lesson 741 hurriedly ['h?ridli] ad.2 cut [k?t] v.3t hirstily ['θ?:stili] ad.4 go [g?u] v.5 greet [gri:t] v.Lesson 751 ago [?'g?u] ad.2 buy [bai] v.3 pair [pe?] n.4 fashion ['f???n] n.5 uncomfortable [?n'k?mft?b?l] a.6 wear [we?] v.Lesson 771appointment [?'p?intm?nt] n.2 urgent ['?:d??nt] a.3 till [til] prep.Lesson 791 shopping ['??pi?] n.2 list [list] n.3 vegetable['ved?t?b?l] n.4 need [ni:d] v.5 hope [h?up] v.6 thing [θi?] n.7 money ['m?ni] n.Lesson 801 groceries ['gr?us?riz] n.2 fruit [fru:t] n.3 stationery ['stei??n?ri, -neri] n.4 newsagent ['nju:z?eid??nt] n.5 chemist ['kemist] n.Lesson 811 bath [bɑ:θ] n.2 nearly ['ni?li] ad.3 ready ['redi] a.4 dinner ['din?] n.5 restaurant ['rest?r?nt] n.6 roast [r?ust] a.Lesson 821 breakfast ['brekf?st] n.2 haircut['he?k?t] n.3 party ['pɑ:ti] n.4 holiday ['h?lidi] n.Lesson 831 mess [mes] n.2 pack [p?k] v.3 suitcase ['su:tkeis, 'sju:t] n.4 leave [li:v] v.5 already [?:l'redi] ad.Lesson 851 Paris ['p?ris] n.2 cinema ['sinim?] n.3 film [film] n.4 beautiful ['bju:tif?l] a.5 city ['siti] n.6 never ['nev?] ad.7 ever ['ev?] ad.Lesson 871 attendant [?'tend?nt] n.2 bring [bri?] v.3 garage ['g?rɑ:?] n.4 crash [kr??] n.5 lamp-post[l?mp p?ust]6 repair [ri'pe?] v.7 try [trai] v.Lesson 891 believe[bi'li:v] v.2 may [mei] modal v.3 how long4 since [sins] prep.5 why [wai] ad.6 sell [sel] v.7 because [bi'k?z] conj.8 retire [ri'tai?] v.9 cost [k?st] v.10 pound [paund] n.11 worth [w?:θ] prep.12 penny ['peni]n.Lesson 911 still [stil] ad.2 move [mu:v] v.3 miss [mis] v.4 neighbour ['neib?] n.5 person ['p?:sn] n.6 people ['pi:pl] n.7 poor [pu?] a.Lesson 931 pilot ['pail?t] n.2 return [ri't?:n] v.3 New York ['nju: 'j?:k] n.4 Tokyo ['t?ukj?u] n.5Madrid [m?'drid] n.6 fly [flai] v.Lesson 941 Athens ['?θinz] n.2 Berlin [b?:'lin] n.3 Bombay [b?m'bei] n.4 Geneva [d?i'ni:v?] n.5 Moscow ['m?sk?u] n.6 Rome [r?um] n.7 Seoul [s?ul] n.8 Stockholm ['st?khoum] n.9 Sydney ['sidni] n.Lesson 951 return [ri't?:n] n.2 train [trein] n.3 platform ['pl?tf?:m] n.4 plenty['plenti] n.5 bar [bɑ:] n.6 station ['stei??n] n.7 catch [k?t?] v.8 miss [mis] v.Lesson 971 leave [li:v] v.2 describe [di'skraib] v.3 zip [zip] n.4 label ['leib?l] n.5 handle ['h?ndl] n.6 address [?'dres] n.7 pence [pens] n.8 belong [bi'l??] v.Lesson 991 ow [au] int.2 slip [slip] v.3 fall [f?:l] v.4 downstairs [?daun'ste?z] ad.5 hurt [h?:t] v.6 back [b?k] n.7 stand up8 help [help] v.9 at once [?t'w?ns]10 sure [?u?] a.11 X-ray ['eksrei] n.Lesson 1011 Scotland['sk?tl?nd] n.2 card [kɑ:d] n.3 youth [ju:θ] n.4 hostel ['h?st?l] n.5 association [?s?usi'ei??n] n.6 soon [su:n] ad.7 write [rait]v.Lesson 1031 exam [ig'z?m] n.2 pass [pɑ:s] v.3 mathematics[m?θ?'m?tiks] n.4 question ['kwest??n] n.5 easy ['i:zi] a.6 enough[i'n?f] ad.7 paper ['peip?] n.8 fail [feil] v.9 answer ['ɑ:ns?] v.10 mark [mɑ:k] n.11 rest [rest] n.12 difficult ['difik?lt] a.13 hate [heit]v.14 low [l?u] a.15 cheer [t?i?] v.16 guy [gai] n.17 top [t?p] n.Lesson 1041 clever ['klev?] a.2 stupid ['stju:pid] a.3 cheap [t?i:p] a.4 expensive [ik'spensiv] a.5 fresh [fre?] a.6 stale [steil] a.7 low [l?u] a.8 loud [laud] a.9 high [hai] a.10 hard ['hɑ:d] a.11sweet [swi:t] a.12 soft [s?ft] a.13 sour [sau?] a.Lesson 1051 spell [spel] v.2 intelligent[in'telid??nt] a.3 mistake [mis'teik] n.4 present [pri'zent, 'prez?nt] n.5 dictionary ['dik??n?ri] n.Lesson 1061 carry['k?ri] v.2 correct [k?'rekt] v.Lesson 1071 madam ['m?d?m] n.2 as well3 suit [su:t, sju:t] v.4 pretty ['priti] a.Lesson 1091 idea [ai'di?] n.2 a little3 teaspoonful ['ti:spu:nful] n.4 less [les] a.5 a few6 pity ['piti] n.7 instead [in'sted] ad.8 advice[?d'vais] n.Lesson 1101 most [m?ust] a.2 least [li:st] a.3 best [best] a.4 worse [w?:s] a.5 worst [w?:st] a.Lesson 1111 model ['m?dl]n.2 afford [?'f?:d] v.3 deposit [di'p?zit] n.4 instalment [in'st?:lm?nt] n.5 price [prais] n.6 millionaire [milj?'ne?]n.Lesson 1131 conductor [k?n'd?kt?] n.2 fare [fe?] n.3 change[t?eind?] v.4 note [n?ut] n.5 passenger ['p?sind??] n.6 none [n?n]pron.7 neither ['naie?, 'ni:e?] ad.8 get off9 tramp [tr?mp] n.10 except [ik'sept] prep.Lesson 1151 anyone['eniw?n]pron.2 knock [n?k] v.3 everything ['evriθi?] pron.4 quiet ['kwai?t] a.5 impossible [im'p?s?b?l] a.6 invite [in'vait] v.7 anything ['eniθi?] pron.8 nothing ['n?θi?] pron.9 lemonade [lem?'neid] n.10 joke [d??uk] v.Lesson 1161 asleep[?'sli:p] a.2 glasses ['gla:siz]n.Lesson 1171 dining room2 coin [k?in] n.3 mouth [mauθ] n.4swallow [sw?l?u] v.5 later ['leit?] ad.6 toilet ['t?ilit] n.Lesson 1181 ring [ri?] v.Lesson 1191 story ['st?:ri] n.2 happen ['h?p?n]v.3 thief [θi:f] n.4 enter ['ent?] v.5 dark [dɑ:k] a.6 torch [t?:t?] n.7 voice [v?is] n.8 parrot ['p?r?t] n.Lesson 1201 exercise bookLesson 1211 customer ['k?st?m?] n.2 forget [f?'get] v.3 manager['m?nid??] n.4 serve [s?:v] v.5 counter ['kaunt?] n.6 recognize['rek?gnaiz] v.Lesson 1221 road [r?ud] n.Lesson 1231 during ['dju?ri?] prep.2 trip [trip] n.3 travel ['tr?v?l] v.4 offer ['?f?] v.5 job [d??b] n.6 guess [ges] v.7 grow [gr?u] v.8 beard [bi?d] n.Lesson 1241 kitten ['kitn] n.Lesson 1251 water ['w?:t?] v.2 terribly ['ter?bli] ad.3 dry [drai] a.4 nuisance ['nju:s?ns] n.5 mean [mi:n] v.6 surprise [s?'praiz] n.Lesson 1261 immediately [i'mi:di?tli] ad.Lesson 1271 famous ['feim?s] a.2 actress ['?ktris] n.3 at least4 actor ['?kt?] n.5 read [ri:d]v.Lesson 1291 wave [weiv] v.2 track [tr?k] n.3 mile [mail] n.4 overtake [?uv?'teik] v.5 speed limit6 dream [dri:m] v.7 sign [sain] n.8 driving licence ['draivi? 'lais?ns]9 charge [t?ɑ:d?] v.10 darling ['dɑ:li?]n.Lesson 1311 Egypt ['i:d?ipt] n.2 abroad [?'br?:d] ad.3 worry ['w?ri]v.Lesson 1331 reporter [ri'p?:t?] n.2 sensational [sen'sei??n?l] a.3 mink coat ['mi?k-k?ut]Lesson 1351 future ['fju:t??] n.2 get married3 hotel [h?u'tel] n.4 latest ['leitist] a.5 introduce['intr?'dju:s] v.Lesson 1371 football ['futb?:l] n.2 pool [pu:l] n.3 win [win] v.4 world [w?:ld] n.5 poor [pu?] a.6 depend [di'pend]v.Lesson 1391 extra ['ekstr?] a.2 engineer [end?i'ni?] n.3overseas [?uv?'si:z] a.4 engineering [end?i'ni?ri?] n.5 company['k?mp?ni] n.6 line [lain] n.Lesson 1411 excited [ik'saitid] a.2 get on3 middle-aged ['midl'eid?id] a.4 opposite ['?p?zit] prep.5 curiously['kju?ri?sli] ad.6 funny ['f?ni] a.7 powder ['paud?] n.8 compact['k?mp?kt] n.9 kindly ['kaindli] ad.10 ugly ['?gli] a.11 amused[?'mju:zd] a.12 smile [smail] v.13 embarrassed[im'b?r?st] a.Lesson 1421 worried ['w?rid] a.2 regularly['regjul?li] ad.Lesson 1431 surround [s?'raund] v.2 wood [wud] n.3 beauty spot4 hundred ['h?ndrid] n.5 city ['siti] n.6 through [θru:] prep.7 visitor ['vizit?] n.8 tidy ['taidi] a.9 litter ['lit?] n.10litter basket11 place [pleis] v.12 throw [θr?u] v.13 rubbish ['r?bi?] n.14 count [kaunt] v.15 cover ['k?v?] v.16 piece [pi:s] n.17 tyre ['tai?] n.18 rusty ['r?sti] a.19 among [?'m??] prep.20 prosecute ['pr?sikju:t] v.新概念的成功不能不说是国人的从众心理太重新概念英语第一册单词我一共更新3篇文章,分别是英译汉,汉译英和完整版。
①Japanese automaker Toyota has announced plans to create a model "city of the future" to test and develop new technologies. The project will involve "building a complete city from the ground up" at the foot of Japan's Mount Fuji.Toyota calls the project "Woven City." It is meant to be a model for creating "smart cities" around the world. A smart city is an area developed with high-speed internet connectivity to link major information and communication systems. These systems powered by data and sensors can improve living conditions relating to things like energy, transportation and health.Smart cities can be designed to greatly cut human-caused pollution, reduce traffic problems and create new uses for internet technology to affect everyday life. The Woven City will aim to be a "living laboratory" for technologies including self-driving systems, robotics, smart homes and artificial intelligence.The city will be built on land where an automobile factory currently operates. The factory is set to close by the end of 2020. The city will cover about 70 hectares of land and is designed to hold around 2,000 people. Residents could include Toyota employees and visiting researchers. The city will have its own police officers, fire and emergency services and schools. The city's main electrical power will come from hydrogen fuel technology. The city is planned to be fully sustainable, with buildings made mostly of wood. Buildings will be made with solar equipment to produce additional electricity.City planners will divide the streets for different purposes. One part will be used for faster vehicle traffic. Another will be designed for people riding bicycles. A third part will be for walking. Homes will be built with the latest human support technologies. This includes robots to assist with daily living. Homes will also be equipped with sensors and systems designed to observe and improve peoples' physical and mental health.32. What do we know from Paragraph 2?A. The importance of communication systems.B. The living conditions in the future.C. Clean energy for City of the Future.D. The explanation of a smart city.33. Which is mentioned in paragraph 4?A. When Woven City will be completed.B. Who will be allowed to live in Woven City.C. Why solar energy will be used in Woven City.D. How a car factory will be changed into Woven City.34. Which of the following best describes the traffic in streets of Woven City?A. Safe.B. Rapid.C. Intelligent.D. Comfortable.35. What is the best title for the text?A. The Way Human Beings Will Live in the FutureB. World-Leading Technologies of Toyota's Smart HomeC."City of the Future"to Be Built to Test New TechnologiesD. Great Changes Brought by the Internet in Our Future Life介绍功效作用优缺点问题方法目的实践成果未来展望D B B C②Facial Identity“Mirror mirror on the wall，who's the fairest of them all？"An old tale tells a seemingly unbelievable story of a magic mirror，but now the magic is no longer unachievable.In August 2018，news went viral（广为传播的）that the police had caught criminal suspects who attended Chinese singer Jacky Cheungs concerts. How did the police pick out the suspects among thousands of screaming fans？The helping hand is AI facial recognition technology. The low-key yet powerful tool is no longer far-fetched，but entering the world of China's top investors and companies.Facial recognition is a technology able to identify a person from a digital image or a frame from a video source. Tang Wenbin，CTO of Face++，an AI computer vision technology company in China，vividly explained the workflow. According to him，facial recognition is the identification of our appearance，including knowing the sex，age and identity of a person. You may think it is like a brain or a neural network. You use data to train it，and then，it learns the pattern.Facial recognition technology has been traditionally allied with the security work but today there is active expansion into other industries including mobile phones，marketing and finance.Chinese start-ups have seen the potential of AI facial recognition for simplifying and speeding up tasks in multiple industries. And the market is now crowded and competitive.China is starting the AI revolution and has made breakthroughs in facial recognition. “If applying Al to different industries is a marathon，the companies there probably have just got off the blocks." said Tian Feng，director of Alibaba Cloud Research Center. He also thinks that in the future，everybody will be able to use AI as it will soon become a basic tool for work and life.28.Why does the author mention mirrors in Paragraph1？A.To imply that such a magical mirror is achievable.B.To lead to the topic that such a magic has become a reality.C.To prove that old tales are based on true stories.D.To describe the background of facial recognition.29.Which of the following best explains “allied with” underlined in Paragraph 4？A.Content with.pared with.C.Burdened with.D.Associated with.30.What is Tian Feng's attitude towards the future of Al？A.Favorable.B.Pessimistic.C.Indifferent.D.Objective.31.What can be a suitable title for the text？A.Breakthroughs of Chinese TechnologyB.Effects of AI TechnologyC.The Eye of AI in ChinaD.Facial Recognition in SecurityB D A C③When visitors to the Palace Museum feel a need to sit down for a cup of tea or find a bathroom without a long line，they soon will be able to turn to their smart phones for the information they need.This modern-day solution comes thanks to an agreement signed on Friday by the museum and Huawei Co.，the telecommunication giant，to build a "smart network" using 5G technology. Under the agreement，5G Wi-Fi signals will cover the Palace Museum，China's royal palace from 1420 to 1911，and the branch museum of the institution under construction in northwestern Beijing.“It's essential to always stay close to the latest technology to better serve the public，” said Shan Jixiang，former director of the Palace Museum. Shan said there is still much room for improvement in the handling of a huge number of cultural relics（文物），such as when the priceless painting Along the River During the Qingming Festival is exhibited again in the future. When it was last exhibited in 2015，visitors stood in long lines until 3 am to get a glimpse. The museum ended up preparing instant noodles to serve the hungry visitors. “I don't want that scenario to reoccur，"Shan said. “Our operation can be done in a more scientific way.”The new system will also make use of the closed-circuit television cameras that are set up all over the Palace Museum to safeguard the museum's precious relics. More than 1.86 millions of them are housed at the museum, which recorded nearly 20 million visits from the public last year, topping all museums worldwide. "How can we make sure no single visitor who might have evil ideas threatens these treasures?" Shan said. "After adopting the internet of things, we can instantly detect any motion involving the artifacts to prevent such threats."The 5G network also will be used to improve remote consultation through webcams, which will facilitate conversations with overseas scholars to jointly find the best answers for restoration and preservation issues.28. What do we know about the Palace Museum?A. Its visitors won't have to queue up for the bathroom.B. It has served as China's royal palace for over 500 years.C. It will cooperate with Huawei to promote its management.D. It will set up advanced television cameras for the purpose of safety.29. What does the underlined word "scenario" in Paragraph 3 mean?A. Disaster.B. Situation.C. Operation.D. Exhibition30. What are the figures in Paragraph 4 intended to show about the Palace Museum?A. It is better than any other museums.B. It has a rich collection of cultural relics.C. It enjoys great popularity all over the world.D. It faces a tough challenge of protecting relics.31. What can be a suitable title for the text?A. A Feast for Museum VisitorsB.A Revolution in ExhibitionC.A Protector of Cultural RelicsD. A Connection Between Old and NewC BD D④Every day is Earth Day-probably you've heard it before. Nearly all Americans have access to a plastic recycling program. You may be surprised to learn how many types of plastic packaging can be recycled into new，useful products！Ford Motor Company has been helping to promote the use of environmentally-friendly auto parts-and one way they're doing that is by using recycled plastic bottles for underbody shields（底盘保护罩）and other auto parts on cars.“The underbody shield is a large part，and for a part that big，if we use solid plastic，it would likely weigh three times as much，"said Thomas Sweder，a design engineer of Ford Motor Company. “We look for the most durable and highest performing materials to work with make our parts, and in this case, we are also creating many environmental benefits."In the past decade, the global use of plastics in vehicle parts has grown quickly. Ford alone uses about 1.2 billion recycled plastic bottles per year, about 250 bottles per vehicle on average.When plastic bottles are thrown into a recycling bin, they are collected with thousands of others and cut into small pieces. These pieces are typically sold to suppliers who turn them into fibers, by melting and pressing them. Then they are mixed together with other various types of fiber in a process and used to make a sheet of material which is formed into the auto parts.Due to its light weight, recycled plastic is ideal for the manufacturing of underbody shields. These shields reportedly also help create a significantly quieter environment on the new 2020 Ford Escape.This is not the only way that Ford has been committed to environmental protection; the automotive company recently partnered with McDonald's coffee suppliers to recycle all of their coffee roasting biowaste into headlights."Ford is among the leaders when it comes to using recycled materials such as this," Sweder said. “This material meets all of our requirements for durability and performance.”32. Why does Ford choose recycled plastic as environmentally-friendly materials?A. Because it’s new and useful.B. Because it’s cheap and easy to get.C. Because it’s durable and light.D. Because it’s portable and well-performed.33. What does Paragraph 5 mainly talk about?A. The global use of plastics.B. The mixing process of fibers.C. The advantages of plastic bottles.D. The formation of the new auto material.34. What does the underlined word "This" in Pararaph 7 refer to?A. Recycling coffee roasting biowaste.B. Improving vehicle parts.C. Recycling plastic bottles into auto parts.D. Creating a quieter environment.35. What can be the best title of the passage?A. Every Day is Earth Day.B. Ford Takes the Lead in Plastic Recycling.C. Ecological Auto Underbody Shields.D.A Pioneer in Promoting Environmental Protection.C D C B⑤Robots have certain advantages compared to humans: They are efficient，tireless，can be repaired when damaged and they never get sick. This last trait has made them the star during our fight against the COVID-19 pandemic. While hundreds of thousands of medical workers have fallen ill dealing with this highly infectious virus and a lot more are forced to stay at home for fear of getting the disease，this isn't a problem for robots.This is why the COVID-19 outbreak is seen as the "tipping point"--noted The Independent Science reporter Anthony Cuthbertson-for robots to start to replace humans in certain jobs.In areas like hospitals and healthcare facilities，robots are used to perform high-risk tasks. In China，for example，a hotel in Hangzhou employed a robot named "Little Peanut" to deliver food to people under quarantine（隔离期）. In Spain，robots are about to be used to test people for the coronavirus. Ultraviolet-light-disinfection（紫外线消毒）robots are also being widely used to clean hospital corridors and wards."Hospitals around the world are waking up to autonomous disinfection，"Per Jul Nielsen，CEO of Denmark's UVD Robots，a leading company manufacturing disinfection robots，told Forbes. “We can't build these robots fast enough.”In non-medical companies，robots are also replacing human employees since they don't have the problem of social distancing and will never take sick leave. Walmart and Amazon，for example，where robots are already used in sorting，packing and shipping，are planning to increase the number of robots in their facilities. Fast-food chains like McDonald's are not only delivering food with robots in some areas，but also looking to use them as cooks and servers.According to futurist Martin Ford，using more robots than human employees can prove to be rewarding for companies-even when the pandemic is over, "People will prefer to go to a place that has fewer workers and more machines because they feel they can lower overall risk," Ford told the BBC.But this sudden surge（激增）in robot demand doesn't mean that they triumph over humans in every aspect. According to Bill Smart，a roboticist at Oregon State University，the human contact between doctors and patients is still important. Doctors comfort the patients and guide them through hard decisions while robots are only doing routine tasks，like cleaning and giving tests，just to free up doctors and nurses. It might be true that robots have certain advantages over humans，but they are still secondary to human interaction.28.What is the text mainly about?A.The advantages of robots compared to humans.B.Different views toward applying robots to fight COVID-19.C.Why the COVID-19 outbreak has fueled robot demand.D.The important role humans play in certain areas.29.What has made robots desirable during the pandemic according to the text?A.They can be repaired when damaged.B.They test people for coronavirus more precisely.C.They never get tired and can replace doctors and nurses.D.They are not vulnerable to the coronavirus.30.What does Martin Ford think of the application of robots?A.Its benefits are appealing and lasting.B.Machines are less disturbing than humans.C.It poses a threat to human employment.D.There are some risks with the use of robots.31.What can be concluded from the last two paragraphs?A.The demand for robots is too great to meet.B.Human interaction is essential in some areas.C.Doctors can make more accurate judgments than robots.D.Robots need updating to improve contact with humans.C D A B⑥Chinese companies have begun competing with Western companies in the cloud computing and data storage market. The "cloud war" is taking place as the dispute between the United States and China about data hacking and computer network security grows stronger. Chinese companies such as Alibaba，Baidu and Huawei are expanding within their country and gaining customers in other countries. They are creating data centers in multiple countries and trying to sell data management services throughout the world.The increasing competition in cloud computing and storage worries some experts. They are concerned about the security of information. After all，companies often use the cloud to store important，confidential（秘密的）information and to operate such activities as data-driven machinery，telecommunications，banking and transport systems-including plans for driverless vehicles.Lee Branstetter is an associate professor of economics at the Heinz School of Policy and Management of the Carnegie Mellon University. He told VOA many multi-national companies “have serious concerns about the protection of their intellectual property（知识产权）in China.” Branstetter said some of these large companies already believe they have lost valuable information.Sheila Jasanoff is the director of the program on science，technology and society at Harvard's Kennedy School. She called the cloud computing industry "unruly." In other words, the industry is not strictly governed."People(in the business) are making rules as they go along赞同实践or taking advantage of the lack of rules," Jasanoff said. She said cloud computing companies are not clear about what security measures they are promising customers. She is worried that a major accident may happen before governments realize the need for stronger rules in the cloud computing industry. She believes there should be internationally-accepted rules on data security. But she does not believe an international agreement will be reached anytime soon.28. What's the purpose of Chinese companies' creating data centers?A. To sell data management services.B. To compete against western companies.C. To attack networks of the United States.D. To show the development of science and technology.29. As for cloud computing and storage, what do some experts mainly worry about?A. Convenience.B. Security.C. Efficiency.D. Speed.30. What's the probable meaning of the underlined word "unruly" in Paragraph 4?A. Obviously clear.B. Extremely unpleasant.C. Usual and normal.D. Difficult to control.31. What does Jasanoff suggest on cloud computing industry?A. Internationally-accepted rules should be made.B. Valuable information shouldn't be stored in data centers.C. Cloud computing companies should follow the service promise.D. Western companies strengthen intellectual property protection.A B D A⑦2019·CAs data and identity theft becomes more and more common, the market is growing for biometric（生物测量）technologies—like fingerprint scans—to keep others out of private e-spaces. At present, these technologies are still expensive, though. Researchers from Georgia Tech say that they have come up with a low-cost device that gets around this problem: a smart keyboard. This smart keyboard precisely measures the cadence（节奏）with which one types and the pressure fingers apply to each key. The keyboard could offer a strong layer of security by analyzing things like the force of a user’s typing and the time between key presses. These patterns are unique to each person. Thus, the keyboard can determine people’s identities, and by extension, whether they should be given access to the computer it’s connected to — regardless of whether someone gets the password right.It also doesn’t require a new type of technology that people aren’t already familiar with. Everybody uses a keyboard and everybody types differently.In a study describing the technology, the researchers had 100 volunteers type the word ＂touch＂four times using the smart keyboard. Data collected from the device could be used to recognize different participants based on how they typed, with very low error rates. The researchers say that the keyboard should be pretty straightforward to commercialize and is mostly made of inexpensive, plastic-like parts. The team hopes to make it to market in the near future.1. Why do the researchers develop the smart keyboard?A. To reduce pressure on keys.B. To improve accuracy in typingC. To replace the password system.D. To cut the cost of e-space protection.2. What makes the invention of the smart keyboard possible?A. Computers are much easier to operate.B. Fingerprint scanning techniques develop fast.C. Typing patterns vary from person to person.D. Data security measures are guaranteed.3. What do the researchers expect of the smart keyboard?A. It’ll be environment-friendly.B.It’ll reach consumers soon.C. It’ll be made of plastics.D. It’ll help speed up typing.4. Where is this text most likely from?A. A diary.B. A guidebookC. A novel.D. A magazine.D C B D⑧One of doctors' most valuable tools is his nose. Since ancient times，medics have relied on their sense of smell to help them work out what is wrong with their patients. Fruity odors（气味）on the breath，for example，let them monitor the condition of diabetics（糖尿病病人）.But doctors can，as it were，smell only what they can smell-and many compounds characteristic of disease are odorless. To deal with this limitation，Hossam Haick，a chemical engineer at the Technion Israel Institute of Technology in Haifa，has developed a device which，he claims，can do work that the human nose cannot.The idea behind Dr. Haick's invention is not new. Many diagnostic "breathalysers" already exist，and sniffer dogs，too，can be trained to detect illnesses such as cancer. Most of these approaches，though，are disease-specific. Dr.Haick wanted to generalize the process.As he describes in ACS Nano，he and his colleagues created a series of electrodes made of carbon nanotubes（纳米碳管）.Each of these had one of 20 organic films laid over it. Each film was sensitive to one of a score of compounds known to be found on the breath of patients suffering from a range of 17 illnesses，including Parkinson's disease，multiple sclerosis，and bladder cancer. When a film reacted，its electrical resistance changed in a predictable manner. The combined changes produced an electrical fingerprint that would be diagnosic of the disease a patient was suffering from.To test their invention，Dr.Haick and his colleagues collected 2.808 breath samples from 1.404 patients who were suffering from at least one of the diseases. Its success varied. It could distinguish between samples from patients suffering from gastric cancer and bladder cancer only 64% of the time.At distinguishing lung cancer from head and neck cancer it was, though,100% successful. Overall it got things right 8% of the time. Not perfect, but a useful aid to a doctor planning to conduct further investigations. And this is only the first model. Slightly adjusted, its success rate would be expected to improve.28.How useful is the nose to doctors？A.They will apply new device to helping with diagnosing illness.B.They could tell which diseases are odorless.C.They can smell what other people can't.D.They diagnose illness through their sense of smell.29.What is the most special aspect of the new invention？A.It is made of a series of electrodes.B.It can help detect more than one disease.C.It can be used to help diagnose cancers.D.It works through analyzing patients' electrical fingerprints.30.What can we infer about the device？A.It can successfuly tell bladder cancer from other cancers.B.It's the first invention by using principle of sense of smellC.It will be a useful tool in diagnosing lung cancer.D.Its success rate differs from patient to patient.D B C。
