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百密一疏——伟人的名字_creampie for my beautiful blonde mom

作者：Gausst松鼠会 | 2024-02-28 16:22:18

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creampie for my beautiful blonde mom

题目描述

从前有个很厉害的人物演讲了一堆很厉害的东西，可是我读书少，认识人不多，你知道这个人叫啥不。。

答案格式wctf{名字}

友情提示1、外国人，只要名字就可以了，就别要姓了，首字母大写。

友情提示2、说过我读书少，外国人的名字和姓我是分不清的，反正答案就是大家最常叫的那个。。

以下就是这个人讲话的节选：

  1. EB BMQF KYJRD, IM ICHZZZ YWELXABD, ICCH PVLQ EB PGJS, UEZW PAGE RDS IGJOW QQQNHQO ZU BOTOSNS RD CFU YCFUQA. VGJQP RDWD AKIYWPU HDQ TZXLZSO, AONK CSYHPWHTRL CQ YISCLAWBD FWG ECAB VSIAZQCZ ER CWGH PSDWGICYB PC LRO YDRECYDJ ZZBYHHJ. PVP ENOGHQ CQ WKIYJ WAPUGYOYV SVZ YJGHHPAR WFA NDJH ER OSCYGYS VSNFZXLZ EKC UWRZA.
  2.  
  3. YRU HSH PFFPNAH VSIAZQQ ID YCOTQ - YRR OD Y QLOJ HZ ZAOC YNAD, PVZXED LUKO HH JSPG; BZW WG D YOWO PC EYPHWH, HSRSCV HKXOEWJAR ZC OCH - MXR O FYHZ WM PPDP HSH XICGCJ ZI W WRLC EZGHWRKR GEUSCUWH, MPDP WY YJR BCWF RSP, "PAXZLAEBR GJ SRNA, SYPWPQR WY RNWMXJWHTRL" - Y GEUSCUWH WULLLOH WFA NRKICY CJSXLCO ZI IOY: PMCDLJM, NKJPURU, GGOSLVC, LQB KLU EHDHJB.
  4.  
  5. NDL KP DKFRH WULLLOH WFAGP CJSXLCO L ENOYG WBO EHCMDJ OWOGWBNH, BZURD LQB GZXRD, HYOH DLZ HHQP, WFWH FYJ LVQQFP Y AZUC TCXGPTFO HWQH BCC YHZ PYJYTQB? HLJH JRS XZLL WY RDOE FEGERPEQ HDBCCW?
  6.  
  7. EB WFA WRLC SLQPCCB KT WFA HRPHR, MJZJ Y TPZ CSYHPWHTRLO SDTA MHCJ RUYJHPG PVP PKZP MB OHDABOLLC QUCARZP EB LRO SRSN ZI IOILKQA GYJUPU. W GM BZW OVLQI TCRK HSLQ FPVNKBDLZEZTWW - L SSWFMIS LR. T BK YRR PPOGAJP RDOE YJM RD ID UKIWG ALNKYJUP NHONHQ KTWF OYB KHSHP DPRNHS RP OYB KHSHP UPQCNOELMJ. WFA PQCNUJ, PVP DWWEK, HSH ZSGRRECY UDWNK SS EPEBR RK EKGO PQBAOGRSN HLJH WLEDH RSN NRSJHCB WBO YHZ ZFK DHPRS LR -- YJR WFA ROMS QUMI EKYP QLPA NDL HCXJU WLEDH WFA HRPHR.
  8.  
  9. DLZ DR, AJ DAZWRU OXHPEQLQQ: LVI BZW SVLW UCFU YCFQRNM FYJ OR BCC WKI - WGV UDOE WKI FYJ OR BCC WKIC AKIYWPU.
  10.  
  11. XB BSWOMS NLRENPQQ CQ RDS ZMNZO: WGV LKH ZFWH DKAFTFY KTOJ RZ DKF BMQ, ESP HKYP EREAHSHP KP AWB GM TZU PVP DNSPGMI ZI IOY.
  12.  
  13. DEBLOJU, ZFAHSHP MZX WFP AEHTCCJG RD OXHPEQL MN NLRENPQQ CQ RDS ZMNZO, WGV MB FV PVP QWAP FEUS QPOYGYNRD MB DWPABRWF OYG OONUGBWNH SVTFF KP YOY RD MZX. KTWF O JMKR FMJGNLCJQP MQF RLHM VSNS UCSOCG, KTWF VTVRKFJ RDS IGJOW HQRRH KT RSN OHCZG, JAH XQ UZ DKFEK PC OCWR WFA WDLZ HH HCGH, ODNGJU KGO MOCOGTQE OYG DWD FAZA, XIE IJCHLLC EKYP SHPA ZQ AOCWF UZG'O HRPG XXQP EUSHM EC CFU KKY.

思路：

这里先回顾一下维吉尼亚密码：

首先，我们需要一个26字母表

012345678910111213141516171819202122232425
ABCDEFGHIJKLMNOPQRSTUVWXYZ

加密：（明文+密钥）mod 26 = 密文

解密：（密文-密钥+26）mod 26 = 明文

先观察密文第一行：

EB BMQF KYJRD, IM ICHZZZ YWELXABD, ICCH PVLQ EB PGJS, UEZW PAGE RDS IGJOW QQQNHQO ZU BOTOSNS RD CFU YCFUQA.

发现 EB 有重复：

EB BMQF KYJRD, IM ICHZZZ YWELXABD, ICCH PVLQ EB PGJS, UEZW PAGE RDS IGJOW QQQNHQO ZU BOTOSNS RD CFU YCFUQA.

此时，我们知道，当在密文中发现两个相同的字符串时，很可能是因为再一次地使用了密钥，而且两个 EB 相隔了35个英文字符串，那么我们可以判断密钥的长度可能为5或7。我们先假设密钥长度为5，若此时能够解出有意义的明文段，那么就破解成功。

若直接暴力破解5位密钥，时间过长，因此我们可以简化一下流程。简化思路如下：第一个密文字符串 EB 为两位，那么其明文字符串也为两位，我们使用一个常用英文词典库作为参照，来找出常用的二字母单词（比如 in ，to，us，is，he，me，we等），从而能够筛选出一部分密钥值，即密钥前两个字母，然后从这些密钥部分值开始暴力破解，能够减少计算量。

为了进一步减少计算量，我只对密文的第一行进行破解，如果第一行整行都是很正常的句子，那么可以证明这个密钥大概是对的。而判断一行字是不是正常的句子，我们也不人工去检查，而是通过检测一行字里有多少单词是属于常见单词库里的，若超过一半，我们就认为是正常的。

代码：

  1. def getWords():  #建立一个3599个单词的列表
  2.     filename = "common_English_Word_Dictionary.txt"
  3.     with open(filename, "r") as f:
  4.         data = f.read()
  5.         data = data.upper()
  6.         data = data.split("\n")
  7.         data = set(data)  # set() 函数创建一个无序不重复元素集
  8.  
  9.     return data
  10.  
  11.  
  12. def wordsList(string):
  13.     count = 0;
  14.     string = string.split(" ")
  15.     s1=[]
  16.     for each in string:
  17.         if each[-1]==',':
  18.             each=each[:-1]
  19.             s1.append(each)
  20.         else:
  21.             s1.append(each)
  22.  
  23.     return s1
  24.  
  25.  
  26. def countWords(words, string): #找出字符数不小于2的字符串个数
  27.     count_words = 0
  28.     s1= wordsList(string)
  29.     for i in s1:
  30.         if i in words:
  31.             count_words+=1
  32.  
  33.     return count_words
  34.  
  35.  
  36. def create_dict(keys, values): # 创建A-Z对应1—26的字典
  37.     temp = zip(keys, values)
  38.     dictionary = dict(temp)
  39.  
  40.     return dictionary
  41.  
  42.  
  43. def formula_two(dictionary, reverse_dictionary, string, miyao):
  44.     count_miyao = 0
  45.     ming_wen = ""
  46.     for each in string:   # 对密文的第一行看成是一整个字符串，轮询该字符串的每个字符
  47.         if each.isalpha() == False: # 当遇到非字母字符时进行特殊处理，保证密钥都是对字母字符进行加密
  48.             if each != '\n':
  49.                 count_miyao += 1
  50.             ming_wen += each
  51.             continue
  52.         miyao_num = dictionary[miyao[count_miyao % len(miyao)]]
  53.         position = (dictionary[each]- miyao_num +26) % 26 #解密
  54.         count_miyao += 1
  55.         ming_wen += reverse_dictionary[position]
  56.  
  57.     return ming_wen
  58.  
  59.  
  60.  
  61.  
  62. if __name__ == '__main__':
  63.     values = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, \
  64.               12, 13, 14, 15, 16, 17, 18, 19, 20, \
  65.               21, 22, 23, 24, 25]
  66.     keys = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', \
  67.             'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', \
  68.             'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z']
  69.     dictionary = create_dict(keys, values)
  70.     reverse_dictionary = dict(zip(dictionary.values(), dictionary.keys()))
  71.     words = getWords()
  72.  
  73.     miwen = """\
  74. EB BMQF KYJRD, IM ICHZZZ YWELXABD, ICCH PVLQ EB PGJS, UEZW PAGE RDS IGJOW QQQNHQO ZU BOTOSNS RD CFU YCFUQA. VGJQP RDWD AKIYWPU HDQ TZXLZSO, AONK CSYHPWHTRL CQ YISCLAWBD FWG ECAB VSIAZQCZ ER CWGH PSDWGICYB PC LRO YDRECYDJ ZZBYHHJ. PVP ENOGHQ CQ WKIYJ WAPUGYOYV SVZ YJGHHPAR WFA NDJH ER OSCYGYS VSNFZXLZ EKC UWRZA.
  75. YRU HSH PFFPNAH VSIAZQQ ID YCOTQ - YRR OD Y QLOJ HZ ZAOC YNAD, PVZXED LUKO HH JSPG; BZW WG D YOWO PC EYPHWH, HSRSCV HKXOEWJAR ZC OCH - MXR O FYHZ WM PPDP HSH XICGCJ ZI W WRLC EZGHWRKR GEUSCUWH, MPDP WY YJR BCWF RSP, "PAXZLAEBR GJ SRNA, SYPWPQR WY RNWMXJWHTRL" - Y GEUSCUWH WULLLOH WFA NRKICY CJSXLCO ZI IOY: PMCDLJM, NKJPURU, GGOSLVC, LQB KLU EHDHJB.
  76. NDL KP DKFRH WULLLOH WFAGP CJSXLCO L ENOYG WBO EHCMDJ OWOGWBNH, BZURD LQB GZXRD, HYOH DLZ HHQP, WFWH FYJ LVQQFP Y AZUC TCXGPTFO HWQH BCC YHZ PYJYTQB? HLJH JRS XZLL WY RDOE FEGERPEQ HDBCCW?
  77. EB WFA WRLC SLQPCCB KT WFA HRPHR, MJZJ Y TPZ CSYHPWHTRLO SDTA MHCJ RUYJHPG PVP PKZP MB OHDABOLLC QUCARZP EB LRO SRSN ZI IOILKQA GYJUPU. W GM BZW OVLQI TCRK HSLQ FPVNKBDLZEZTWW - L SSWFMIS LR. T BK YRR PPOGAJP RDOE YJM RD ID UKIWG ALNKYJUP NHONHQ KTWF OYB KHSHP DPRNHS RP OYB KHSHP UPQCNOELMJ. WFA PQCNUJ, PVP DWWEK, HSH ZSGRRECY UDWNK SS EPEBR RK EKGO PQBAOGRSN HLJH WLEDH RSN NRSJHCB WBO YHZ ZFK DHPRS LR -- YJR WFA ROMS QUMI EKYP QLPA NDL HCXJU WLEDH WFA HRPHR.
  78. DLZ DR, AJ DAZWRU OXHPEQLQQ: LVI BZW SVLW UCFU YCFQRNM FYJ OR BCC WKI - WGV UDOE WKI FYJ OR BCC WKIC AKIYWPU.
  79. XB BSWOMS NLRENPQQ CQ RDS ZMNZO: WGV LKH ZFWH DKAFTFY KTOJ RZ DKF BMQ, ESP HKYP EREAHSHP KP AWB GM TZU PVP DNSPGMI ZI IOY.
  80. DEBLOJU, ZFAHSHP MZX WFP AEHTCCJG RD OXHPEQL MN NLRENPQQ CQ RDS ZMNZO, WGV MB FV PVP QWAP FEUS QPOYGYNRD MB DWPABRWF OYG OONUGBWNH SVTFF KP YOY RD MZX. KTWF O JMKR FMJGNLCJQP MQF RLHM VSNS UCSOCG, KTWF VTVRKFJ RDS IGJOW HQRRH KT RSN OHCZG, JAH XQ UZ DKFEK PC OCWR WFA WDLZ HH HCGH, ODNGJU KGO MOCOGTQE OYG DWD FAZA, XIE IJCHLLC EKYP SHPA ZQ AOCWF UZG'O HRPG XXQP EUSHM EC CFU KKY.
  81. """
  82.     miwen1 = miwen.split("\n")[0]  # 提取密文第一行
  83.     miwen1_part = miwen1[0:2]
  84.  
  85.     mi_yao_2 = []
  86.  
  87.     for i in values:
  88.         for i2 in values:
  89.             mi_yao = keys[i] + keys[i2]
  90.             if len(mi_yao)>1:
  91.  
  92.                 ming_wen = formula_two(dictionary, reverse_dictionary, miwen1_part, mi_yao)
  93.                 if ming_wen in words:
  94.                     mi_yao_2.append(mi_yao)
  95.                     print("mi_yao= %s, ming_wen= %s " % (mi_yao, ming_wen))
  96.  
  97.     print("mi_yao_2: ",mi_yao_2)
  98.  
  99.     for miyao_p1 in mi_yao_2:
  100.         for K in values:
  101.             for K2 in values:
  102.                 for K3 in values:
  103.                     miyao_p2 = keys[K] + keys[K2] + keys[K3] 
  104.                 
  105.                     miyao = miyao_p1 + miyao_p2
  106.                     if len(miyao) == 5:
  107.                         print("string working....mi_yao = %s" % (miyao))
  108.                         ming_wen3 = formula_two(dictionary, reverse_dictionary, miwen1, miyao)
  109.                         count_words=countWords(words,ming_wen3)
  110.                         n = len(wordsList(ming_wen3))
  111.                         if count_words >= (n*0.5):
  112.                             print(ming_wen3)
  113.                             with open("f.txt","w+") as f:
  114.                                 f.write("miyao= "+ miyao + "\n")
  115.                                 f.write(ming_wen3)

  1. # 命名为：common_English_Word_Dictionary.txt
  2.  
  3. aindefinitearticle
  4. abandon
  5. ability
  6. able
  7. about
  8. about
  9. aboveadv
  10. above
  11. abroad
  12. absence
  13. absolute
  14. absolutely
  15. absorb
  16. abuse
  17. academic
  18. accept
  19. acceptable
  20. access
  21. accident
  22. accommodation
  23. accompany
  24. accordingto
  25. account
  26. account
  27. accurate
  28. accuse
  29. achieve
  30. achievement
  31. acid
  32. acknowledge
  33. acquire
  34. acrossadv
  35. act
  36. act
  37. action
  38. active
  39. activist
  40. activity
  41. actor
  42. actual
  43. actually
  44. ad
  45. adapt
  46. add
  47. addition
  48. additional
  49. address
  50. address
  51. adequate
  52. adjust
  53. administration
  54. administrative
  55. admire
  56. admission
  57. admit
  58. adopt
  59. adult
  60. adult
  61. advance
  62. advance
  63. advanced
  64. advantage
  65. advert
  66. advertise
  67. advertisement
  68. advertising
  69. advice
  70. advise
  71. adviser
  72. affair
  73. affect
  74. afford
  75. afraid
  76. afterprepconj
  77. afternoon
  78. afterwards
  79. again
  80. against
  81. age
  82. aged
  83. agency
  84. agent
  85. aggressive
  86. ago
  87. agree
  88. agreement
  89. agriculture
  90. ahead
  91. aid
  92. aim
  93. aim
  94. air
  95. aircraft
  96. airline
  97. airport
  98. alarm
  99. album
  100. alcohol
  101. alive
  102. all
  103. all
  104. allow
  105. allowance
  106. allrightadjadv
  107. interjection
  108. almost
  109. aloneadj
  110. along
  111. along
  112. alongsideadv
  113. already
  114. also
  115. alter
  116. alternative
  117. alternative
  118. althoughconj
  119. altogether
  120. always
  121. amazing
  122. ambition
  123. ambulance
  124. among
  125. amount
  126. anindefinitearticle
  127. analyse
  128. analysis
  129. analyst
  130. ancient
  131. andconj
  132. anger
  133. angle
  134. angry
  135. animal
  136. announce
  137. announcement
  138. annoy
  139. annual
  140. another
  141. answer
  142. answer
  143. anticipate
  144. anxiety
  145. anxious
  146. any
  147. any
  148. anybody
  149. anyhow
  150. anyone
  151. anything
  152. anyway
  153. anywhere
  154. apartadv
  155. apartment
  156. apologize
  157. apology
  158. apparent
  159. apparently
  160. appeal
  161. appeal
  162. appear
  163. appearance
  164. apple
  165. application
  166. apply
  167. appoint
  168. appointment
  169. appreciate
  170. approach
  171. approach
  172. appropriate
  173. approval
  174. approve
  175. approximate
  176. architect
  177. architecture
  178. area
  179. argue
  180. argument
  181. arise
  182. arm
  183. armed
  184. army
  185. aroundadv
  186. arrange
  187. arrangement
  188. arrest
  189. arrival
  190. arrive
  191. art
  192. article
  193. artificial
  194. artist
  195. asconj
  196. asprep
  197. ashamed
  198. aside
  199. ask
  200. asleep
  201. aspect
  202. assess
  203. assessment
  204. assignment
  205. assist
  206. assistance
  207. assistant
  208. associate
  209. association
  210. assume
  211. assumption
  212. assure
  213. at
  214. atmosphere
  215. attach
  216. attack
  217. attack
  218. attempt
  219. attempt
  220. attend
  221. attention
  222. attitude
  223. attorney
  224. attract
  225. attraction
  226. attractive
  227. audience
  228. aunt
  229. author
  230. authority
  231. automatic
  232. automatically
  233. autumn
  234. available
  235. average
  236. average
  237. avoid
  238. awake
  239. award
  240. award
  241. aware
  242. awareness
  243. away
  244. awful
  245. awkward
  246. baby
  247. back
  248. back
  249. back
  250. back
  251. background
  252. backwards
  253. bacon
  254. bad
  255. badly
  256. bag
  257. bake
  258. balance
  259. balance
  260. ball
  261. ban
  262. band
  263. bang
  264. bang
  265. bank
  266. bar
  267. barrier
  268. base
  269. base
  270. baseball
  271. basic
  272. basically
  273. basis
  274. basket
  275. bat
  276. bath
  277. bathroom
  278. battery
  279. battle
  280. beauxiliary
  281. be
  282. beach
  283. bean
  284. bear
  285. beard
  286. beat
  287. beat
  288. beautiful
  289. beauty
  290. becauseconj
  291. because
  292. become
  293. bed
  294. bedroom
  295. beef
  296. beer
  297. before
  298. beforeconj
  299. before
  300. beforehand
  301. begin
  302. beginning
  303. behalf
  304. behave
  305. behaviour
  306. behindprep
  307. being
  308. belief
  309. believe
  310. bell
  311. belong
  312. belowadv
  313. belt
  314. bench
  315. bend
  316. beneathadv
  317. benefit
  318. benefit
  319. beside
  320. best
  321. best
  322. bet
  323. bet
  324. better
  325. better
  326. betweenadv
  327. beyondprep
  328. bicycle
  329. bid
  330. big
  331. bike
  332. bill
  333. bin
  334. bird
  335. birth
  336. birthday
  337. biscuit
  338. bitadv
  339. bit
  340. bite
  341. bite
  342. bitter
  343. black
  344. blade
  345. blame
  346. blank
  347. bless
  348. blind
  349. block
  350. block
  351. bloke
  352. blonde
  353. blood
  354. blow
  355. blow
  356. blue
  357. board
  358. boat
  359. body
  360. boil
  361. boiler
  362. boiling
  363. bomb
  364. bone
  365. bonus
  366. book
  367. book
  368. boom
  369. boot
  370. border
  371. bored
  372. boring
  373. born
  374. borrow
  375. boss
  376. both
  377. bother
  378. bottle
  379. bottom
  380. bottom
  381. bounce
  382. bound
  383. bowl
  384. box
  385. boy
  386. boyfriend
  387. brain
  388. branch
  389. brave
  390. bread
  391. break
  392. break
  393. breakfast
  394. breast
  395. breath
  396. breathe
  397. brick
  398. bridge
  399. brief
  400. briefly
  401. bright
  402. brilliant
  403. bring
  404. broad
  405. brother
  406. brown
  407. brush
  408. brush
  409. buck
  410. bucket
  411. buddy
  412. budget
  413. bug
  414. build
  415. builder
  416. building
  417. bump
  418. bunch
  419. burn
  420. burn
  421. burst
  422. bury
  423. bus
  424. business
  425. busy
  426. butconj
  427. but
  428. but
  429. butcher
  430. butter
  431. button
  432. buy
  433. buyer
  434. by
  435. by
  436. byeinterjection
  437. bye
  438. cabinet
  439. cable
  440. cake
  441. calculate
  442. calculation
  443. calculator
  444. calendar
  445. call
  446. call
  447. calm
  448. camera
  449. camp
  450. campaign
  451. canmodal
  452. can
  453. cancel
  454. cancer
  455. candidate
  456. candle
  457. candy
  458. cap
  459. capable
  460. capacity
  461. capital
  462. capital
  463. captain
  464. capture
  465. car
  466. card
  467. care
  468. care
  469. career
  470. careful
  471. carefully
  472. carpetcarrot
  473. carry
  474. cartoon
  475. case
  476. cash
  477. cash
  478. cast
  479. castle
  480. cat
  481. catalogue
  482. catch
  483. category
  484. cause
  485. cause
  486. CD
  487. cease
  488. ceiling
  489. celebrate
  490. celebration
  491. cell
  492. cellphone
  493. cent
  494. centimetre
  495. central
  496. centre
  497. century
  498. cereal
  499. certain
  500. certainly
  501. certificate
  502. chain
  503. chair
  504. chairman
  505. challenge
  506. challenge
  507. champion
  508. championship
  509. chance
  510. change
  511. change
  512. channel
  513. chap
  514. chapter
  515. character
  516. characteristic
  517. characterize
  518. charge
  519. charge
  520. charity
  521. chart
  522. chase
  523. chat
  524. cheap
  525. cheat
  526. check
  527. check
  528. cheek
  529. cheese
  530. chemical
  531. chemical
  532. chemist
  533. chemistry
  534. cheque
  535. cherry
  536. chest
  537. chicken
  538. chief
  539. chief
  540. child
  541. childhood
  542. chip
  543. chocolate
  544. choice
  545. choose
  546. chop
  547. chuck
  548. church
  549. cigarette
  550. cinema
  551. circle
  552. circuit
  553. circumstance
  554. citizen
  555. city
  556. civil
  557. claim
  558. claim
  559. class
  560. classic
  561. classical
  562. classroom
  563. clean
  564. clean
  565. cleaner
  566. clear
  567. clear
  568. clearly
  569. clerk
  570. clever
  571. click
  572. client
  573. climate
  574. climb
  575. clock
  576. close
  577. close
  578. close
  579. closed
  580. closely
  581. closet
  582. cloth
  583. clothes
  584. cloud
  585. club
  586. clue
  587. coach
  588. coal
  589. coast
  590. coat
  591. code
  592. coffee
  593. coin
  594. cold
  595. collapse
  596. collar
  597. colleague
  598. collect
  599. collection
  600. college
  601. colour
  602. column
  603. combination
  604. combine
  605. come
  606. comfort
  607. comfortable
  608. command
  609. comment
  610. comment
  611. commercial
  612. commission
  613. commit
  614. commitment
  615. committee
  616. common
  617. communicate
  618. communication
  619. community
  620. company
  621. compare
  622. comparison
  623. compete
  624. competition
  625. competitive
  626. complain
  627. complaint
  628. complete
  629. complete
  630. completely
  631. complex
  632. complicated
  633. component
  634. comprehensive
  635. comprise
  636. computer
  637. concentrate
  638. concentration
  639. concept
  640. concern
  641. concern
  642. concerned
  643. concerning
  644. concert
  645. conclude
  646. conclusion
  647. condition
  648. conduct
  649. conduct
  650. conference
  651. confidence
  652. confident
  653. confine
  654. confirm
  655. conflict
  656. confused
  657. confusing
  658. confusion
  659. congratulation
  660. connect
  661. connection
  662. conscious
  663. consciousness
  664. consent
  665. consequence
  666. consider
  667. considerable
  668. considerably
  669. consideration
  670. consist
  671. consistent
  672. constant
  673. constantly
  674. constitute
  675. construct
  676. construction
  677. consult
  678. consumer
  679. consumption
  680. contact
  681. contact
  682. contain
  683. contemporary
  684. content
  685. contest
  686. context
  687. continue
  688. continuous
  689. contract
  690. contrast
  691. contribute
  692. contribution
  693. control
  694. control
  695. convenient
  696. convention
  697. conventional
  698. conversation
  699. convert
  700. conviction
  701. convince
  702. cook
  703. cooker
  704. cookie
  705. cool
  706. cool
  707. cooperation
  708. cope
  709. copy
  710. copy
  711. core
  712. corn
  713. corner
  714. correct
  715. correct
  716. corridor
  717. cost
  718. cost
  719. cottage
  720. cotton
  721. couldmodal
  722. council
  723. count
  724. counter
  725. country
  726. countryside
  727. county
  728. couple
  729. courage
  730. course
  731. court
  732. cousin
  733. cover
  734. cover
  735. cow
  736. crack
  737. craft
  738. crash
  739. crazy
  740. create
  741. creation
  742. creative
  743. creature
  744. credit
  745. creditcard
  746. crew
  747. crime
  748. criminal
  749. crisis
  750. criterion
  751. critic
  752. critical
  753. criticism
  754. criticize
  755. crop
  756. cross
  757. cross
  758. cross
  759. crowd
  760. crown
  761. crucial
  762. cruel
  763. cry
  764. cry
  765. cultural
  766. culture
  767. cup
  768. cupboard
  769. curious
  770. currency
  771. current
  772. current
  773. currently
  774. curtain
  775. curve
  776. cushion
  777. custom
  778. customer
  779. cut
  780. cut
  781. cute
  782. cycle
  783. dad
  784. daddy
  785. daft
  786. daily
  787. damage
  788. damage
  789. dance
  790. dance
  791. danger
  792. dangerous
  793. dare
  794. dark
  795. darkness
  796. darling
  797. data
  798. database
  799. date
  800. date
  801. daughter
  802. day
  803. dead
  804. dead
  805. deaf
  806. deal
  807. deal
  808. dealer
  809. dear
  810. dearinterjection
  811. dear
  812. death
  813. debate
  814. debt
  815. decade
  816. decent
  817. decide
  818. decision
  819. declare
  820. decline
  821. decline
  822. deep
  823. deep
  824. deeply
  825. defeat
  826. defeat
  827. defence
  828. defend
  829. define
  830. definite
  831. definitely
  832. definition
  833. degree
  834. delay
  835. delay
  836. deliberately
  837. deliver
  838. delivery
  839. demand
  840. demand
  841. democracy
  842. democratic
  843. demonstrate
  844. demonstration
  845. dentist
  846. deny
  847. department
  848. departure
  849. depend
  850. dependent
  851. deposit
  852. depression
  853. depth
  854. derive
  855. describe
  856. description
  857. desert
  858. deserve
  859. design
  860. design
  861. designer
  862. desire
  863. desk
  864. desperate
  865. despite
  866. destroy
  867. destruction
  868. detail
  869. detailed
  870. detect
  871. determination
  872. determine
  873. determined
  874. develop
  875. development
  876. device
  877. devil
  878. diagram
  879. diamond
  880. diary
  881. die
  882. diet
  883. differ
  884. difference
  885. different
  886. difficult
  887. difficulty
  888. dig
  889. dimension
  890. dinner
  891. direct
  892. direct
  893. direction
  894. directly
  895. director
  896. directory
  897. dirt
  898. dirty
  899. disabled
  900. disagree
  901. disappear
  902. disappoint
  903. disappointed
  904. disaster
  905. disc
  906. discipline
  907. discount
  908. discover
  909. discovery
  910. discuss
  911. discussion
  912. disease
  913. disgusting
  914. dish
  915. disk
  916. dismiss
  917. display
  918. display
  919. dispute
  920. distance
  921. distant
  922. distinct
  923. distinction
  924. distinguish
  925. distribute
  926. distribution
  927. district
  928. disturb
  929. divide
  930. division
  931. divorce
  932. doauxiliary
  933. do
  934. doctor
  935. document
  936. dog
  937. dollar
  938. domestic
  939. dominant
  940. dominate
  941. door
  942. dot
  943. double
  944. double
  945. doubt
  946. doubt
  947. downadvprep
  948. downstairs
  949. downtown
  950. dozennumber
  951. draft
  952. drag
  953. drama
  954. dramatic
  955. draw
  956. draw
  957. drawer
  958. drawing
  959. dream
  960. dream
  961. dress
  962. dress
  963. drink
  964. drink
  965. drive
  966. drive
  967. driver
  968. drop
  969. drop
  970. drug
  971. drunk
  972. dry
  973. dry
  974. duck
  975. dude
  976. due
  977. dull
  978. dumb
  979. dump
  980. during
  981. dust
  982. duty
  983. DVD
  984. eachadv
  985. eachother
  986. ear
  987. early
  988. early
  989. earn
  990. earth
  991. ease
  992. easily
  993. east
  994. eastern
  995. easy
  996. easy
  997. eat
  998. economic
  999. economics
  1000. economy
  1001. edge
  1002. edition
  1003. editor
  1004. education
  1005. educational
  1006. effect
  1007. effective
  1008. effectively
  1009. efficiency
  1010. efficient
  1011. effort
  1012. egg
  1013. eitherconj
  1014. either
  1015. elderly
  1016. elect
  1017. election
  1018. electric
  1019. electrical
  1020. electricity
  1021. electronic
  1022. element
  1023. elevator
  1024. else
  1025. elsewhere
  1026. email
  1027. email
  1028. embarrassed
  1029. emerge
  1030. emergency
  1031. emotion
  1032. emotional
  1033. emphasis
  1034. emphasize
  1035. empire
  1036. employ
  1037. employee
  1038. employer
  1039. employment
  1040. empty
  1041. enable
  1042. encounter
  1043. encourage
  1044. encouraging
  1045. end
  1046. end
  1047. enemy
  1048. energy
  1049. engage
  1050. engine
  1051. engineer
  1052. engineering
  1053. enhance
  1054. enjoy
  1055. enjoyable
  1056. enormous
  1057. enough
  1058. enough
  1059. enquiry
  1060. ensure
  1061. enter
  1062. enterprise
  1063. entertainment
  1064. enthusiasm
  1065. enthusiastic
  1066. entire
  1067. entirely
  1068. entitle
  1069. entrance
  1070. entry
  1071. envelope
  1072. environment
  1073. environmental
  1074. equal
  1075. equal
  1076. equally
  1077. equipment
  1078. equivalent
  1079. era
  1080. error
  1081. escape
  1082. escape
  1083. especially
  1084. essay
  1085. essential
  1086. essentially
  1087. establish
  1088. establishment
  1089. estate
  1090. estimate
  1091. estimate
  1092. ethnic
  1093. even
  1094. evening
  1095. event
  1096. eventually
  1097. ever
  1098. every
  1099. everybody
  1100. everyone
  1101. everything
  1102. everywhere
  1103. evidence
  1104. evil
  1105. exact
  1106. exactly
  1107. exam
  1108. examination
  1109. examine
  1110. example
  1111. excellent
  1112. exceptconj
  1113. exception
  1114. exchange
  1115. excitement
  1116. exciting
  1117. exclude
  1118. excuse
  1119. excuse
  1120. executive
  1121. executive
  1122. exercise
  1123. exercise
  1124. exhibition
  1125. exist
  1126. existence
  1127. existing
  1128. exit
  1129. expand
  1130. expansion
  1131. expect
  1132. expectation
  1133. expenditure
  1134. expense
  1135. expensive
  1136. experience
  1137. experience
  1138. experienced
  1139. experiment
  1140. experimental
  1141. expert
  1142. expert
  1143. explain
  1144. explanation
  1145. explore
  1146. explosion
  1147. export
  1148. expose
  1149. express
  1150. expression
  1151. extend
  1152. extension
  1153. extensive
  1154. extent
  1155. external
  1156. extra
  1157. extraordinary
  1158. extreme
  1159. extremely
  1160. eye
  1161. face
  1162. face
  1163. facility
  1164. fact
  1165. factor
  1166. factory
  1167. fail
  1168. failure
  1169. fair
  1170. fair
  1171. fairly
  1172. faith
  1173. fall
  1174. fall
  1175. false
  1176. familiar
  1177. family
  1178. famous
  1179. fan
  1180. fancy
  1181. fancy
  1182. fantastic
  1183. far
  1184. far
  1185. farm
  1186. farmer
  1187. fascinating
  1188. fashion
  1189. fast
  1190. fast
  1191. fat
  1192. father
  1193. fault
  1194. favour
  1195. favour
  1196. favourite
  1197. fear
  1198. fear
  1199. feature
  1200. feature
  1201. federal
  1202. fee
  1203. feed
  1204. feedback
  1205. feel
  1206. feeling
  1207. fellow
  1208. female
  1209. female
  1210. fence
  1211. festival
  1212. fetch
  1213. fewadj
  1214. field
  1215. fight
  1216. fight
  1217. figure
  1218. figure
  1219. file
  1220. file
  1221. fill
  1222. film
  1223. filthy
  1224. final
  1225. final
  1226. finally
  1227. finance
  1228. finance
  1229. financial
  1230. find
  1231. finding
  1232. fine
  1233. fine
  1234. finger
  1235. finish
  1236. finish
  1237. fire
  1238. fire
  1239. firm
  1240. firm
  1241. first
  1242. first
  1243. firstly
  1244. fish
  1245. fish
  1246. fishing
  1247. fit
  1248. fit
  1249. fix
  1250. fixed
  1251. flash
  1252. flat
  1253. flat
  1254. flavour
  1255. flesh
  1256. flight
  1257. flood
  1258. floor
  1259. flow
  1260. flow
  1261. flower
  1262. fly
  1263. focus
  1264. focus
  1265. fold
  1266. folk
  1267. follow
  1268. following
  1269. food
  1270. foot
  1271. football
  1272. for prep
  1273. force
  1274. force
  1275. foreign
  1276. forest
  1277. forever
  1278. forget
  1279. forgive
  1280. fork
  1281. form
  1282. form
  1283. formal
  1284. formally
  1285. formation
  1286. former
  1287. formula
  1288. forth
  1289. fortnight
  1290. fortunate
  1291. fortune
  1292. forward
  1293. forward
  1294. foundation
  1295. frame
  1296. frankly
  1297. free
  1298. free
  1299. freedom
  1300. freeway
  1301. freeze
  1302. freezer
  1303. frequent
  1304. frequently
  1305. fresh
  1306. fridge
  1307. friend
  1308. friendly
  1309. friendship
  1310. frightened
  1311. from prep
  1312. front
  1313. front
  1314. fruit
  1315. fry
  1316. fuel
  1317. fulfil
  1318. full
  1319. fully
  1320. fun
  1321. fun
  1322. function
  1323. fund
  1324. fund
  1325. fundamental
  1326. funeral
  1327. funny
  1328. furniture
  1329. further
  1330. fuss
  1331. future
  1332. future
  1333. gain
  1334. gain
  1335. gallery
  1336. game
  1337. gang
  1338. gap
  1339. garage
  1340. garbage
  1341. garden
  1342. garlic
  1343. gas
  1344. gasoline
  1345. gate
  1346. gather
  1347. gay
  1348. gear
  1349. gene
  1350. general
  1351. generally
  1352. generate
  1353. generation
  1354. generous
  1355. gentle
  1356. gentleman
  1357. gently
  1358. genuine
  1359. get
  1360. giant
  1361. gift
  1362. girl
  1363. girlfriend
  1364. give
  1365. glad
  1366. glance
  1367. glass
  1368. global
  1369. glove
  1370. go
  1371. go
  1372. goal
  1373. god
  1374. gold
  1375. gold
  1376. golden
  1377. golf
  1378. good
  1379. good morning interjection
  1380. goodight interjection
  1381. goodbye interjection
  1382. goodness
  1383. goods
  1384. gorgeous
  1385. gosh interjection
  1386. govern
  1387. government
  1388. governor
  1389. grab
  1390. grade
  1391. gradually
  1392. gram
  1393. grammar
  1394. grand
  1395. grandad
  1396. grandfather
  1397. grandma
  1398. grandmother
  1399. grandpa
  1400. granny
  1401. grant
  1402. grant
  1403. graph
  1404. grass
  1405. grateful
  1406. great
  1407. greatly
  1408. green
  1409. green
  1410. grey
  1411. grocery
  1412. gross
  1413. ground
  1414. group
  1415. grow
  1416. growth
  1417. guarantee
  1418. guarantee
  1419. guard
  1420. guess
  1421. guess
  1422. guest
  1423. guidance
  1424. guide
  1425. guide
  1426. guilty
  1427. guitar
  1428. gun
  1429. guy
  1430. habit
  1431. hair
  1432. half
  1433. half
  1434. half
  1435. halfway
  1436. hall
  1437. hand
  1438. hand
  1439. handbag
  1440. handle
  1441. handle
  1442. handy
  1443. hang
  1444. happen
  1445. happy
  1446. hard
  1447. hard
  1448. hardly
  1449. harm
  1450. hat
  1451. hate
  1452. have
  1453. have
  1454. have
  1455. he
  1456. head
  1457. head
  1458. headquarters
  1459. health
  1460. healthy
  1461. hear
  1462. hearing
  1463. heart
  1464. heat
  1465. heat
  1466. heater
  1467. heating
  1468. heaven
  1469. heavily
  1470. heavy
  1471. height
  1472. hell
  1473. hello interjection
  1474. help
  1475. help
  1476. helpful
  1477. hence
  1478. her
  1479. her
  1480. here
  1481. hero
  1482. hers
  1483. herself
  1484. hesitate
  1485. hi interjection
  1486. hide
  1487. high
  1488. high
  1489. highlight
  1490. highly
  1491. highway
  1492. hill
  1493. him
  1494. himself
  1495. hire
  1496. his
  1497. historian
  1498. historical
  1499. history
  1500. hit
  1501. hit
  1502. hold
  1503. hold
  1504. holder
  1505. holding
  1506. hole
  1507. holiday
  1508. holy
  1509. home
  1510. home
  1511. homework
  1512. honest
  1513. honestly
  1514. honey
  1515. honour
  1516. hook
  1517. hook
  1518. hope
  1519. hope
  1520. hopefully
  1521. hopeless
  1522. horrible
  1523. horror
  1524. horse
  1525. hospital
  1526. host
  1527. hot
  1528. hotel
  1529. hour
  1530. house
  1531. household
  1532. housing
  1533. how conj
  1534. however
  1535. huge
  1536. human
  1537. human
  1538. hungry
  1539. hunt
  1540. hurry
  1541. hurry
  1542. hurt
  1543. husband
  1544. I
  1545. ice
  1546. ice cream
  1547. idea
  1548. ideal
  1549. ideally
  1550. identify
  1551. identity
  1552. idiot
  1553. if conj
  1554. ignore
  1555. ill
  1556. illegal
  1557. illness
  1558. illustrate
  1559. image
  1560. imagination
  1561. imagine
  1562. immediate
  1563. immediately
  1564. impact
  1565. implement
  1566. implication
  1567. imply
  1568. import
  1569. importance
  1570. important
  1571. impose
  1572. impossible
  1573. impress
  1574. impression
  1575. impressive
  1576. improve
  1577. improvement
  1578. in
  1579. in prep
  1580. inch
  1581. incident
  1582. include
  1583. including prep
  1584. income
  1585. incorporate
  1586. increase
  1587. increase
  1588. increasingly
  1589. incredible
  1590. incredibly
  1591. indeed
  1592. independence
  1593. independent
  1594. index
  1595. indicate
  1596. indication
  1597. individual
  1598. individual
  1599. industrial
  1600. industry
  1601. inevitable
  1602. inevitably
  1603. infant
  1604. infection
  1605. inflation
  1606. influence
  1607. influence
  1608. inform
  1609. informal
  1610. information
  1611. initial
  1612. initially
  1613. initiative
  1614. injure
  1615. injury
  1616. inner
  1617. innocent
  1618. innovation
  1619. input
  1620. inquiry
  1621. insect
  1622. inside prep
  1623. inside
  1624. insist
  1625. inspection
  1626. inspector
  1627. install
  1628. instance
  1629. instant
  1630. instead
  1631. institute
  1632. institution
  1633. instruction
  1634. instrument
  1635. insurance
  1636. intellectual
  1637. intelligence
  1638. intelligent
  1639. intend
  1640. intense
  1641. intention
  1642. interaction
  1643. interest
  1644. interested
  1645. interesting
  1646. internal
  1647. international
  1648. internet
  1649. interpret
  1650. interpretation
  1651. interval
  1652. intervention
  1653. interview
  1654. interview
  1655. into prep
  1656. introduce
  1657. introduction
  1658. invest
  1659. investigate
  1660. investigation
  1661. investment
  1662. invite
  1663. involve
  1664. involved
  1665. involvement
  1666. iron
  1667. iron
  1668. island
  1669. issue
  1670. issue
  1671. it
  1672. item
  1673. its
  1674. itself
  1675. jacket
  1676. jam
  1677. job
  1678. join
  1679. joint
  1680. joke
  1681. joke
  1682. journalist
  1683. journey
  1684. joy
  1685. judge
  1686. judge
  1687. judgment
  1688. juice
  1689. jump
  1690. jump
  1691. jumper
  1692. junior
  1693. jury
  1694. just
  1695. justice
  1696. justify
  1697. keen
  1698. keep
  1699. kettle
  1700. key
  1701. key
  1702. keyboard
  1703. kick
  1704. kick
  1705. kid
  1706. kid
  1707. kill
  1708. kilometre
  1709. kind
  1710. kind
  1711. king
  1712. kiss
  1713. kit
  1714. kitchen
  1715. knee
  1716. knife
  1717. knock
  1718. know
  1719. knowledge
  1720. known
  1721. lab
  1722. label
  1723. laboratory
  1724. labour
  1725. lack
  1726. lack
  1727. lad
  1728. ladder
  1729. lady
  1730. lake
  1731. lamb
  1732. lamp
  1733. land
  1734. land
  1735. landlord
  1736. landscape
  1737. lane
  1738. language
  1739. large
  1740. largely
  1741. last
  1742. last
  1743. last
  1744. last
  1745. late
  1746. late
  1747. later
  1748. latter
  1749. laugh
  1750. laugh
  1751. launch
  1752. law
  1753. lawyer
  1754. lay
  1755. layer
  1756. lazy
  1757. lead
  1758. lead
  1759. leader
  1760. leadership
  1761. leading
  1762. leaf
  1763. league
  1764. lean
  1765. learn
  1766. least
  1767.  
  1768. leather
  1769. leave
  1770. leave
  1771. lecture
  1772. left
  1773. left
  1774. left
  1775. leg
  1776. legal
  1777. legislation
  1778. leisure
  1779. lend
  1780. length
  1781. less
  1782. less
  1783. lesson
  1784. let
  1785. letter
  1786. level
  1787. level
  1788. liberal
  1789. library
  1790. licence
  1791. lick
  1792. lid
  1793. lie
  1794. lie
  1795. lie
  1796. life
  1797. lift
  1798. lift
  1799. light
  1800. light
  1801. light
  1802. lighting
  1803. like prep
  1804. like
  1805. like
  1806. like conj
  1807. like
  1808. likely
  1809. limit
  1810. limit
  1811. limitation
  1812. limited
  1813. line
  1814. link
  1815. link
  1816. lip
  1817. liquid
  1818. list
  1819. list
  1820. listen
  1821. literally
  1822. literary
  1823. literature
  1824. little
  1825. little
  1826. little
  1827.  
  1828. live
  1829. live
  1830. lively
  1831. living
  1832. load
  1833. loan
  1834. local
  1835. locate
  1836. location
  1837. lock
  1838. lock
  1839. log
  1840. logical
  1841. lonely
  1842. long
  1843. long
  1844. long-term
  1845. look
  1846. look
  1847. loose
  1848. lord
  1849. lorry
  1850. lose
  1851. loss
  1852. lost
  1853. lot
  1854. lot
  1855. loud
  1856. loud
  1857. lounge
  1858. love
  1859. love
  1860. lovely
  1861. lover
  1862. low
  1863. lower
  1864. lower
  1865. luck
  1866. luckily
  1867. lucky
  1868. lump
  1869. lunch
  1870. lunchtime
  1871. machine
  1872. machinery
  1873. mad
  1874. madam
  1875. magazine
  1876. magic
  1877. mail
  1878. mail
  1879. main
  1880. mainly
  1881. maintain
  1882. maintenance
  1883. major
  1884. majority
  1885. make
  1886. male
  1887. male
  1888. mall
  1889. man
  1890. manage
  1891. management
  1892. manager
  1893. manner
  1894. manufacturer
  1895. manufacturing
  1896. many
  1897.  
  1898. map
  1899. march
  1900. march
  1901. margin
  1902. mark
  1903. mark
  1904. market
  1905. marketing
  1906. marriage
  1907. married
  1908. marry
  1909. marvellous
  1910. mass
  1911. mass
  1912. massive
  1913. master
  1914. match
  1915. match
  1916. mate
  1917. material
  1918. material
  1919. math
  1920. maths
  1921. matter
  1922. matter
  1923. maximum
  1924. may modal
  1925. maybe
  1926. me
  1927. meal
  1928. mean
  1929. meaning
  1930. means
  1931. meanwhile
  1932. measure
  1933. measure
  1934. measurement
  1935. meat
  1936. mechanism
  1937. media
  1938. medical
  1939. medicine
  1940. medieval
  1941. medium
  1942. meet
  1943. meeting
  1944. member
  1945. membership
  1946. memory
  1947. mental
  1948. mention
  1949. menu
  1950. mere
  1951. merely
  1952. mess
  1953. mess
  1954. message
  1955. messy
  1956. metal
  1957. method
  1958. metre
  1959. middle
  1960. middle
  1961. midnight
  1962. might modal
  1963. mile
  1964. military
  1965. milk
  1966. millimetre
  1967. mind
  1968. mind
  1969. mine
  1970. mine
  1971. mineral
  1972. minimum
  1973. minister
  1974. ministry
  1975. minor
  1976. minority
  1977. minute
  1978. mirror
  1979. misery
  1980. miss
  1981. miss
  1982. mission
  1983. mistake
  1984. mix
  1985. mixed
  1986. mixture
  1987. mobile
  1988. mobile phone
  1989. mode
  1990. model
  1991. modern
  1992. mom
  1993. moment
  1994. mommy
  1995. money
  1996. monitor
  1997. month
  1998. mood
  1999. moon
  2000. moral
  2001. more
  2002. more
  2003.  
  2004. moreover
  2005. morning
  2006. mortgage
  2007. most
  2008. most
  2009.  
  2010. mostly
  2011. mother
  2012. motion
  2013. motor
  2014. motorway
  2015. mountain
  2016. mouse
  2017. mouth
  2018. move
  2019. move
  2020. movement
  2021. movie
  2022. much
  2023. much
  2024.  
  2025. mud
  2026. mum
  2027. mummy
  2028. murder
  2029. muscle
  2030. museum
  2031. mushroom
  2032. music
  2033. musical
  2034. must modal
  2035. my
  2036. myself
  2037. mystery
  2038. nail
  2039. naked
  2040. name
  2041. name
  2042. narrow
  2043. nasty
  2044. nation
  2045. national
  2046. native
  2047. natural
  2048. naturally
  2049. nature
  2050. naughty
  2051. near prep
  2052. near
  2053. nearby
  2054. nearly
  2055. neat
  2056. necessarily
  2057. necessary
  2058. neck
  2059. need
  2060. need
  2061. negative
  2062. negotiate
  2063. negotiation
  2064. neighbour
  2065. neighbourhood
  2066. neither
  2067. neither
  2068. nerve
  2069. nervous
  2070. net
  2071. net
  2072. network
  2073. never
  2074. nevertheless
  2075. new
  2076. newly
  2077. news
  2078. newspaper
  2079. next
  2080. next
  2081. nice
  2082. nicely
  2083. night
  2084. nil
  2085. no
  2086. no
  2087. no one
  2088. no way
  2089. nobody
  2090. nod
  2091. noise
  2092. noisy
  2093. none
  2094. nonsense
  2095. nope
  2096. nor conj
  2097. normal
  2098. normally
  2099. north
  2100. northern
  2101. nose
  2102. not
  2103. notably
  2104. note
  2105. note
  2106. nothing
  2107. notice
  2108. notice
  2109. notion
  2110. novel
  2111. now
  2112. now conj
  2113. nowadays
  2114. nowhere
  2115. nuclear
  2116. nuisance
  2117. number
  2118. numerous
  2119. nurse
  2120. nut
  2121. object
  2122. object
  2123. objection
  2124. objective
  2125. obligation
  2126. observation
  2127. observe
  2128. obtain
  2129. obvious
  2130. obviously
  2131. occasion
  2132. occasional
  2133. occasionally
  2134. occupation
  2135. occupy
  2136. occur
  2137. ocean
  2138. o¡¯clock
  2139. odd
  2140. odds
  2141. of prep
  2142. of course
  2143. off prep
  2144. offence
  2145. offer
  2146. offer
  2147. office
  2148. officer
  2149. official
  2150. official
  2151. often
  2152. oil
  2153. OK
  2154. OK interjection
  2155. old
  2156. on prep
  2157. on
  2158. once
  2159. once conj
  2160. oneumber
  2161. one
  2162. one
  2163. one another
  2164. onion
  2165. only
  2166. only
  2167. onto prep
  2168. open
  2169. open
  2170. opening
  2171. operate
  2172. operation
  2173. operator
  2174. opinion
  2175. opponent
  2176. opportunity
  2177. oppose
  2178. opposite prep
  2179. opposition
  2180. option
  2181. or conj
  2182. orange
  2183. order
  2184. order
  2185. ordinary
  2186. organ
  2187. organic
  2188. organization
  2189. organize
  2190. organized
  2191. origin
  2192. original
  2193. originally
  2194. other
  2195.  
  2196. otherwise
  2197. ought to modal
  2198. ounce
  2199. our
  2200. ours
  2201. ourselves
  2202. out
  2203. out prep
  2204. outcome
  2205. output
  2206. outside prep
  2207. outside
  2208. outside
  2209. outstanding
  2210. oven
  2211. over
  2212. over prep
  2213. overall
  2214. overcome
  2215. overseas
  2216. overtime
  2217. owe
  2218. own
  2219. own
  2220. owner
  2221. ownership
  2222. pace
  2223. pack
  2224. pack
  2225. package
  2226. packet
  2227. pad
  2228. page
  2229. pain
  2230. paint
  2231. paint
  2232. painting
  2233. pair
  2234. palace
  2235. pale
  2236. pan
  2237. panel
  2238. panic
  2239. pants
  2240. paper
  2241. parcel
  2242. pardon interjection
  2243. parent
  2244. park
  2245. park
  2246. parking
  2247. parliament
  2248. part
  2249. participate
  2250. particular
  2251. particularly
  2252. partly
  2253. partner
  2254. partnership
  2255. party
  2256. pass
  2257. pass
  2258. passage
  2259. passenger
  2260. passion
  2261. past
  2262. past
  2263. past prep
  2264. path
  2265. patience
  2266. patient
  2267. patient
  2268. pattern
  2269. pause
  2270. pay
  2271. pay
  2272. payment
  2273. peace
  2274. peaceful
  2275. peak
  2276. pen
  2277. penalty
  2278. pencil
  2279. penny
  2280. pension
  2281. people
  2282. pepper
  2283. per prep
  2284. perceive
  2285. percent
  2286. percentage
  2287. perception
  2288. perfect
  2289. perfectly
  2290. perform
  2291. performance
  2292. perhaps
  2293. period
  2294. permanent
  2295. permission
  2296. permit
  2297. person
  2298. personal
  2299. personality
  2300. personally
  2301. personnel
  2302. perspective
  2303. persuade
  2304. petrol
  2305. phase
  2306. philosophy
  2307. phone
  2308. phone
  2309. photo
  2310. photocopy
  2311. photocopy
  2312. photograph
  2313. phrase
  2314. physical
  2315. physically
  2316. physics
  2317. piano
  2318. pick
  2319. picture
  2320. pie
  2321. piece
  2322. pig
  2323. pile
  2324. pill
  2325. pilot
  2326. pin
  2327. pink
  2328. pint
  2329. pipe
  2330. pitch
  2331. pity
  2332. pizza
  2333. place
  2334. place
  2335. plain
  2336. plan
  2337. plan
  2338. plane
  2339. planet
  2340. plant
  2341. plastic
  2342. plate
  2343. platform
  2344. play
  2345. play
  2346. player
  2347. pleasant
  2348. please interjection
  2349. please
  2350. pleased
  2351. pleasure
  2352. plenty
  2353. plot
  2354. plug
  2355. plus prep
  2356. pocket
  2357. poem
  2358. poet
  2359. poetry
  2360. point
  2361. point
  2362. pole
  2363. police
  2364. policeman
  2365. policy
  2366. polite
  2367. political
  2368. politician
  2369. politics
  2370. poll
  2371. pollution
  2372. pond
  2373. pool
  2374. poor
  2375. pop
  2376. pop
  2377. popular
  2378. population
  2379. port
  2380. pose
  2381. position
  2382. positive
  2383. possess
  2384. possession
  2385. possibility
  2386. possible
  2387. possibly
  2388. post
  2389. post
  2390. post office
  2391. poster
  2392. pot
  2393. potato
  2394. potential
  2395. potential
  2396. pound
  2397. pour
  2398. poverty
  2399. power
  2400. powerful
  2401. practical
  2402. practically
  2403. practice
  2404. practise
  2405. praise
  2406. pray
  2407. prayer
  2408. precise
  2409. precisely
  2410. predict
  2411. prefer
  2412. preference
  2413. pregnant
  2414. premise
  2415. preparation
  2416. prepare
  2417. prepared
  2418. presence
  2419. present
  2420. present
  2421. present
  2422. presentation
  2423. preserve
  2424. president
  2425. press
  2426. press
  2427. pressure
  2428. presumably
  2429. presume
  2430. pretend
  2431. pretty
  2432. pretty
  2433. prevent
  2434. previous
  2435. previously
  2436. price
  2437. pride
  2438. priest
  2439. primarily
  2440. primary
  2441. prince
  2442. princess
  2443. principal
  2444. principle
  2445. print
  2446. print
  2447. printer
  2448. prior
  2449. priority
  2450. prison
  2451. prisoner
  2452. private
  2453. privilege
  2454. prize
  2455. probably
  2456. problem
  2457. procedure
  2458. proceed
  2459. proceeding
  2460. process
  2461. produce
  2462. producer
  2463. product
  2464. production
  2465. profession
  2466. professional
  2467. professional
  2468. professor
  2469. profile
  2470. profit
  2471. program
  2472. programme
  2473. progress
  2474. project
  2475. promise
  2476. promise
  2477. promote
  2478. promotion
  2479. prompt
  2480. proof
  2481. proper
  2482. properly
  2483. property
  2484. proportion
  2485. proposal
  2486. propose
  2487. proposed
  2488. prosecution
  2489. prospect
  2490. protect
  2491. protection
  2492. protest
  2493. proud
  2494. prove
  2495. provide
  2496. providedconj
  2497. providingconj
  2498. provision
  2499. psychological
  2500. psychology
  2501. pub
  2502. public
  2503. public
  2504. publication
  2505. publicity
  2506. publish
  2507. publisher
  2508. pudding
  2509. pull
  2510. punch
  2511. punishment
  2512. pupil
  2513. purchase
  2514. purchase
  2515. pure
  2516. purely
  2517. purple
  2518. purpose
  2519. purse
  2520. pursue
  2521. push
  2522. put
  2523. qualification
  2524. qualify
  2525. quality
  2526. quantity
  2527. quarter
  2528. queen
  2529. question
  2530. question
  2531. queue
  2532. quick
  2533. quick
  2534. quickly
  2535. quid
  2536. quiet
  2537. quietly
  2538. quit
  2539. quite
  2540. quote
  2541. quote
  2542. race
  2543. racing
  2544. radical
  2545. radio
  2546. rail
  2547. railway
  2548. rain
  2549. rain
  2550. raise
  2551. range
  2552. range
  2553. rank
  2554. rapid
  2555. rapidly
  2556. rare
  2557. rarely
  2558. rate
  2559. rather
  2560. ratio
  2561. raw
  2562. reach
  2563. react
  2564. reaction
  2565. read
  2566. reader
  2567. readily
  2568. reading
  2569. ready
  2570. real
  2571. realistic
  2572. reality
  2573. realize
  2574. really
  2575. reason
  2576. reasonable
  2577. reasonably
  2578. recall
  2579. receipt
  2580. receive
  2581. recent
  2582. recently
  2583. reception
  2584. recipe
  2585. reckon
  2586. recognition
  2587. recognize
  2588. recommend
  2589. recommendation
  2590. record
  2591. record
  2592. recording
  2593. recover
  2594. recovery
  2595. red
  2596. reduce
  2597. reduction
  2598. refer
  2599. reference
  2600. reflect
  2601. reflection
  2602. reform
  2603. refrigerator
  2604. refuse
  2605. regard
  2606. regard
  2607. regime
  2608. region
  2609. regional
  2610. register
  2611. registration
  2612. regret
  2613. regular
  2614. regularly
  2615. regulation
  2616. reinforce
  2617. reject
  2618. relate
  2619. related
  2620. relation
  2621. relationship
  2622. relative
  2623. relative
  2624. relatively
  2625. relax
  2626. release
  2627. release
  2628. relevant
  2629. relief
  2630. relieve
  2631. religion
  2632. religious
  2633. rely
  2634. remain
  2635. remaining
  2636. remains
  2637. remark
  2638. remarkable
  2639. remember
  2640. remind
  2641. remote
  2642. remove
  2643. rent
  2644. rent
  2645. repair
  2646. repair
  2647. repeat
  2648. replace
  2649. replacement
  2650. reply
  2651. reply
  2652. report
  2653. report
  2654. reporter
  2655. represent
  2656. representation
  2657. representative
  2658. republic
  2659. reputation
  2660. request
  2661. require
  2662. requirement
  2663. rescue
  2664. research
  2665. reserve
  2666. reserve
  2667. resident
  2668. residential
  2669. resign
  2670. resignation
  2671. resist
  2672. resistance
  2673. resolution
  2674. resolve
  2675. resort
  2676. resource
  2677. respect
  2678. respectively
  2679. respond
  2680. response
  2681. responsibility
  2682. responsible
  2683. rest
  2684. rest
  2685. restaurant
  2686. restore
  2687. restrict
  2688. restriction
  2689. result
  2690. result
  2691. retain
  2692. retire
  2693. retirement
  2694. return
  2695. return
  2696. reveal
  2697. revenue
  2698. reverse
  2699. review
  2700. review
  2701. revolution
  2702. reward
  2703. rhythm
  2704. rice
  2705. rich
  2706. rid
  2707. ride
  2708. ride
  2709. ridiculous
  2710. right
  2711. right
  2712. right
  2713. rightinterjection
  2714. ring
  2715. ring
  2716. rip
  2717. rise
  2718. rise
  2719. risk
  2720. rival
  2721. river
  2722. road
  2723. rob
  2724. rock
  2725. role
  2726. roll
  2727. roof
  2728. room
  2729. root
  2730. rope
  2731. rough
  2732. roughly
  2733. round
  2734. round
  2735. round
  2736. route
  2737. routine
  2738. row
  2739. royal
  2740. rub
  2741. rubber
  2742. rubbish
  2743. rude
  2744. ruin
  2745. rule
  2746. rule
  2747. run
  2748. rural
  2749. rush
  2750. sack
  2751. sad
  2752. safe
  2753. safety
  2754. sail
  2755. sake
  2756. salad
  2757. salary
  2758. sale
  2759. salt
  2760. same
  2761. same
  2762. same
  2763. sample
  2764. sand
  2765. sandwich
  2766. satellite
  2767. satisfaction
  2768. satisfied
  2769. satisfy
  2770. sauce
  2771. sausage
  2772. save
  2773. saving
  2774. say
  2775. scale
  2776. scared
  2777. scene
  2778. schedule
  2779. schedule
  2780. scheme
  2781. school
  2782. science
  2783. scientific
  2784. scientist
  2785. scope
  2786. score
  2787. score
  2788. scratch
  2789. scream
  2790. screen
  2791. screw
  2792. script
  2793. sea
  2794. seal
  2795. search
  2796. search
  2797. season
  2798. seat
  2799. secondumber
  2800. second
  2801. secondary
  2802. secondly
  2803. secret
  2804. secret
  2805. secretary
  2806. section
  2807. sector
  2808. secure
  2809. secure
  2810. security
  2811. see
  2812. seed
  2813. seek
  2814. seem
  2815. seize
  2816. select
  2817. selection
  2818. self
  2819. sell
  2820. send
  2821. senior
  2822. sense
  2823. sensible
  2824. sensitive
  2825. sentence
  2826. separate
  2827. separate
  2828. sequence
  2829. series
  2830. serious
  2831. seriously
  2832. servant
  2833. serve
  2834. service
  2835. session
  2836. set
  2837. set
  2838. setting
  2839. settle
  2840. settlement
  2841. several
  2842. severe
  2843. sew
  2844. sex
  2845. sexual
  2846. shadow
  2847. shake
  2848. shallmodal
  2849. shame
  2850. shape
  2851. share
  2852. share
  2853. sharp
  2854. sharply
  2855. shave
  2856. she
  2857. shed
  2858. sheep
  2859. sheet
  2860. shelf
  2861. shell
  2862. shelter
  2863. shift
  2864. shine
  2865. ship
  2866. shirt
  2867. shock
  2868. shocked
  2869. shocking
  2870. shoe
  2871. shoot
  2872. shop
  2873. shopping
  2874. short
  2875. shortly
  2876. shot
  2877. shouldmodal
  2878. shoulder
  2879. shout
  2880. shove
  2881. show
  2882. show
  2883. shower
  2884. shrug
  2885. shut
  2886. sick
  2887. side
  2888. sight
  2889. sign
  2890. sign
  2891. signal
  2892. signature
  2893. significance
  2894. significant
  2895. significantly
  2896. silence
  2897. silent
  2898. silly
  2899. silver
  2900. similar
  2901. similarly
  2902. simple
  2903. simply
  2904. sin
  2905. sinceconj
  2906. sing
  2907. singer
  2908. single
  2909. sink
  2910. sink
  2911. sir
  2912. sister
  2913. sit
  2914. site
  2915. situation
  2916. size
  2917. skill
  2918. skin
  2919. skirt
  2920. sky
  2921. sleep
  2922. sleep
  2923. slice
  2924. slide
  2925. slide
  2926. slight
  2927. slightly
  2928. slim
  2929. slip
  2930. slip
  2931. slope
  2932. slow
  2933. slow
  2934. slowly
  2935. small
  2936. smart
  2937. smell
  2938. smell
  2939. smile
  2940. smile
  2941. smoke
  2942. smoke
  2943. smoking
  2944. smooth
  2945. snap
  2946. snow
  2947. so
  2948. soconj
  2949. soap
  2950. so-called
  2951. social
  2952. society
  2953. sock
  2954. soft
  2955. software
  2956. soil
  2957. soldier
  2958. sole
  2959. solicitor
  2960. solid
  2961. solution
  2962. solve
  2963. some
  2964. some
  2965. some
  2966. somebody
  2967. somehow
  2968. someone
  2969. something
  2970. sometimes
  2971. somewhat
  2972. somewhere
  2973. son
  2974. song
  2975. soon
  2976. sore
  2977. sorry
  2978. sort
  2979. sort
  2980. soul
  2981. sound
  2982. sound
  2983. sound
  2984. soup
  2985. source
  2986. south
  2987. southern
  2988. space
  2989. spare
  2990. spare
  2991. speak
  2992. speaker
  2993. special
  2994. specialist
  2995. species
  2996. specific
  2997. specifically
  2998. specify
  2999. speech
  3000. speed
  3001. spell
  3002. spelling
  3003. spend
  3004. spill
  3005. spin
  3006. spirit
  3007. spiritual
  3008. spite
  3009. split
  3010. spoil
  3011. spokesman
  3012. spoon
  3013. sport
  3014. spot
  3015. spot
  3016. spray
  3017. spread
  3018. spring
  3019. squad
  3020. square
  3021. square
  3022. squeeze
  3023. stable
  3024. staff
  3025. stage
  3026. stair
  3027. stake
  3028. stall
  3029. stamp
  3030. stamp
  3031. stand
  3032. standard
  3033. standard
  3034. star
  3035. stare
  3036. start
  3037. start
  3038. starve
  3039. state
  3040. state
  3041. statement
  3042. station
  3043. statistic
  3044. status
  3045. stay
  3046. stay
  3047. steady
  3048. steak
  3049. steal
  3050. steam
  3051. steel
  3052. steep
  3053. step
  3054. step
  3055. stick
  3056. stick
  3057. stiff
  3058. still
  3059. still
  3060. stir
  3061. stock
  3062. stomach
  3063. stone
  3064. stop
  3065. stop
  3066. storage
  3067. store
  3068. store
  3069. storm
  3070. story
  3071. straight
  3072. straight
  3073. straightforward
  3074. strain
  3075. strange
  3076. stranger
  3077. strategic
  3078. strategy
  3079. straw
  3080. strawberry
  3081. stream
  3082. street
  3083. strength
  3084. strengthen
  3085. stress
  3086. stress
  3087. stretch
  3088. strict
  3089. strike
  3090. strike
  3091. string
  3092. strip
  3093. stroke
  3094. strong
  3095. strongly
  3096. structure
  3097. struggle
  3098. struggle
  3099. student
  3100. studio
  3101. study
  3102. study
  3103. stuff
  3104. stupid
  3105. style
  3106. subject
  3107. submit
  3108. subsequent
  3109. subsequently
  3110. substance
  3111. substantial
  3112. succeed
  3113. success
  3114. successful
  3115. successfully
  3116. such
  3117.  
  3118. suck
  3119. sudden
  3120. suddenly
  3121. suffer
  3122. sufficient
  3123. sugar
  3124. suggest
  3125. suggestion
  3126. suit
  3127. suit
  3128. suitable
  3129. sum
  3130. summer
  3131. sun
  3132. super
  3133. supermarket
  3134. supper
  3135. supply
  3136. supply
  3137. support
  3138. support
  3139. supporter
  3140. suppose
  3141. sure
  3142. sure
  3143. surely
  3144. surface
  3145. surgery
  3146. surprise
  3147. surprised
  3148. surprising
  3149. surprisingly
  3150. surround
  3151. survey
  3152. survival
  3153. survive
  3154. suspect
  3155. suspicion
  3156. suspicious
  3157. sustain
  3158. swap
  3159. swear
  3160. sweep
  3161. sweet
  3162. sweet
  3163. swim
  3164. swimming
  3165. swing
  3166. switch
  3167. switch
  3168. symbol
  3169. sympathy
  3170. system
  3171. table
  3172. tablet
  3173. tackle
  3174. tail
  3175. take
  3176. tale
  3177. talent
  3178. talk
  3179. talk
  3180. tall
  3181. tank
  3182. tap
  3183. tape
  3184. target
  3185. task
  3186. taste
  3187. taste
  3188. tax
  3189. taxi
  3190. tea
  3191. teach
  3192. teacher
  3193. teaching
  3194. team
  3195. tear
  3196. tear
  3197. technical
  3198. technique
  3199. technology
  3200. telephone
  3201. television
  3202. tell
  3203. telly
  3204. temperature
  3205. temporary
  3206. tend
  3207. tendency
  3208. tennis
  3209. tension
  3210. tent
  3211. term
  3212. terrible
  3213. terribly
  3214. territory
  3215. terror
  3216. terrorist
  3217. test
  3218. test
  3219. text
  3220. text
  3221. thanconj
  3222. thank
  3223. thanksinterjection
  3224. thanks
  3225. that
  3226. that
  3227. thatconj
  3228. thedefinitearticle
  3229. theatre
  3230. their
  3231. theirs
  3232. them
  3233. theme
  3234. themselves
  3235. then
  3236. theoretical
  3237. theory
  3238. there
  3239. there
  3240. therefore
  3241. they
  3242. thick
  3243. thin
  3244. thing
  3245. think
  3246. this
  3247. though
  3248. thoughconj
  3249. thought
  3250. threat
  3251. threaten
  3252. threeumber
  3253. throat
  3254. through
  3255. throughout
  3256. throw
  3257. thus
  3258. ticket
  3259. tidy
  3260. tie
  3261. tie
  3262. tight
  3263. tile
  3264. tillconj
  3265. time
  3266. tin
  3267. tiny
  3268. tip
  3269. tip
  3270. tired
  3271. title
  3272. to
  3273. to
  3274. toast
  3275. today
  3276. toe
  3277. together
  3278. toilet
  3279. tomato
  3280. tomorrow
  3281. ton
  3282. tone
  3283. tongue
  3284. tonight
  3285. too
  3286. tool
  3287. tooth
  3288. top
  3289. top
  3290. topic
  3291. total
  3292. total
  3293. totally
  3294. touch
  3295. touch
  3296. tough
  3297. tour
  3298. tourist
  3299. towards
  3300. towel
  3301. tower
  3302. town
  3303. toy
  3304. track
  3305. trade
  3306. trade
  3307. tradition
  3308. traditional
  3309. traffic
  3310. trailer
  3311. train
  3312. train
  3313. trainer
  3314. training
  3315. transaction
  3316. transfer
  3317. transfer
  3318. transform
  3319. transition
  3320. translate
  3321. transport
  3322. transportation
  3323. trash
  3324. travel
  3325. travel
  3326. tray
  3327. treat
  3328. treat
  3329. treatment
  3330. treaty
  3331. tree
  3332. tremendous
  3333. trend
  3334. trial
  3335. trick
  3336. tricky
  3337. trip
  3338. troop
  3339. trouble
  3340. trousers
  3341. truck
  3342. true
  3343. truly
  3344. trust
  3345. trust
  3346. truth
  3347. try
  3348. try
  3349. tube
  3350. tune
  3351. tunnel
  3352. turn
  3353. turn
  3354. TV
  3355. twice
  3356. twist
  3357. type
  3358. typical
  3359. tyre
  3360. ugly
  3361. ultimate
  3362. ultimately
  3363. unable
  3364. unbelievable
  3365. uncle
  3366. under
  3367. underneath
  3368. understand
  3369. understanding
  3370. undertake
  3371. unemployed
  3372. unemployment
  3373. unfair
  3374. unfortunate
  3375. unfortunately
  3376. unhappy
  3377. uniform
  3378. union
  3379. unique
  3380. unit
  3381. united
  3382. unity
  3383. universal
  3384. universe
  3385. university
  3386. unknown
  3387. unlessconj
  3388. unlike
  3389. unlikely
  3390. untilconj
  3391. unusual
  3392. up
  3393. upon
  3394. upper
  3395. upset
  3396. upset
  3397. upstairs
  3398. urban
  3399. urge
  3400. urgent
  3401. us
  3402. use
  3403. use
  3404. used
  3405. usedtomodal
  3406. useful
  3407. user
  3408. usual
  3409. usually
  3410. vacation
  3411. vague
  3412. valley
  3413. valuable
  3414. value
  3415. van
  3416. variation
  3417. variety
  3418. various
  3419. vary
  3420. vast
  3421. vegetable
  3422. vehicle
  3423. version
  3424. very
  3425. very
  3426. vet
  3427. via
  3428. victim
  3429. victory
  3430. video
  3431. view
  3432. village
  3433. violence
  3434. violent
  3435. virtually
  3436. virtue
  3437. virus
  3438. visible
  3439. vision
  3440. visit
  3441. visit
  3442. visitor
  3443. visual
  3444. vital
  3445. voice
  3446. volume
  3447. voluntary
  3448. vote
  3449. vote
  3450. vulnerable
  3451. wage
  3452. wait
  3453. wake
  3454. walk
  3455. walk
  3456. wall
  3457. wander
  3458. want
  3459. war
  3460. ward
  3461. wardrobe
  3462. warm
  3463. warn
  3464. warning
  3465. wash
  3466. washing
  3467. waste
  3468. waste
  3469. waste
  3470. watch
  3471. watch
  3472. water
  3473. wave
  3474. wave
  3475. way
  3476. way
  3477. we
  3478. weak
  3479. weakness
  3480. wealth
  3481. weapon
  3482. wear
  3483. weather
  3484. web
  3485. website
  3486. wedding
  3487. week
  3488. weekend
  3489. weekly
  3490. weigh
  3491. weight
  3492. weird
  3493. welcome
  3494. welcome
  3495. welfare
  3496. well
  3497. wellinterjection
  3498. well
  3499. west
  3500. western
  3501. wet
  3502. what
  3503. whatever
  3504. whatsoever
  3505. wheel
  3506. whenconj
  3507. wheneverconj
  3508. whereconj
  3509. whereasconj
  3510. wherever
  3511. whetherconj
  3512. which
  3513. whileconj
  3514. while
  3515. whisky
  3516. whisper
  3517. white
  3518. white
  3519. who
  3520. whoever
  3521. whole
  3522. whole
  3523. whom
  3524. whose
  3525. whyconj
  3526. wicked
  3527. wide
  3528. wide
  3529. widely
  3530. widespread
  3531. wife
  3532. wild
  3533. willmodal
  3534. will
  3535. willing
  3536. win
  3537. win
  3538. wind
  3539. wind
  3540. window
  3541. windy
  3542. wine
  3543. wing
  3544. winner
  3545. winter
  3546. wipe
  3547. wire
  3548. wise
  3549. wish
  3550. wish
  3551. with
  3552. withdraw
  3553. within
  3554. without
  3555. witness
  3556. woman
  3557. wonder
  3558. wonderful
  3559. wood
  3560. wooden
  3561. wool
  3562. word
  3563. work
  3564. work
  3565. worker
  3566. working
  3567. workshop
  3568. world
  3569. worried
  3570. worry
  3571. worry
  3572. worrying
  3573. worse
  3574. worse
  3575. worth
  3576. worth
  3577. wouldmodal
  3578. wound
  3579. wrap
  3580. write
  3581. writer
  3582. writing
  3583. wrong
  3584. wrong
  3585. yard
  3586. yeah
  3587. year
  3588. yellow
  3589. yepinterjection
  3590. yes
  3591. yesterday
  3592. yet
  3593. yetconj
  3594. you
  3595. young
  3596. youngster
  3597. your
  3598. yours
  3599. yourself
  3600. youth
  3601. zone

最后得出结果：wctf{WOLDY}

程序输出：

  1. miyao= WOLDY
  2. IN YOUR HANDS, MY FELLOW CITIZENS, MORE THAN IN MINE, WILL REST THE FINAL SUCCESS OR FAILURE OF OUR COURSE. SINCE THIS COUNTRY WAS FOUNDED, EACH GENERATION OF AMERICANS HAS BEEN SUMMONED TO GIVE TESTIMONY TO ITS NATIONAL LOYALTY. THE GRAVES OF YOUNG AMERICANS WHO ANSWERED THE CALL TO SERVICE SURROUND THE GLOBE.
  3. # 输出密钥值，接着仅输出明文的第一行

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