adjectives.ftl 12 KB

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  1. adjectives-dataset-1 = adorable
  2. adjectives-dataset-2 = adventurous
  3. adjectives-dataset-3 = aggressive
  4. adjectives-dataset-4 = alert
  5. adjectives-dataset-5 = attractive
  6. adjectives-dataset-6 = average
  7. adjectives-dataset-7 = beautiful
  8. adjectives-dataset-8 = blue-eyed
  9. adjectives-dataset-9 = bloody
  10. adjectives-dataset-10 = blushing
  11. adjectives-dataset-11 = bright
  12. adjectives-dataset-12 = clean
  13. adjectives-dataset-13 = clear
  14. adjectives-dataset-14 = cloudy
  15. adjectives-dataset-15 = colorful
  16. adjectives-dataset-16 = crowded
  17. adjectives-dataset-17 = cute
  18. adjectives-dataset-18 = dark
  19. adjectives-dataset-19 = drab
  20. adjectives-dataset-20 = distinct
  21. adjectives-dataset-21 = dull
  22. adjectives-dataset-22 = elegant
  23. adjectives-dataset-23 = excited
  24. adjectives-dataset-24 = fancy
  25. adjectives-dataset-25 = filthy
  26. adjectives-dataset-26 = glamorous
  27. adjectives-dataset-27 = gleaming
  28. adjectives-dataset-28 = gorgeous
  29. adjectives-dataset-29 = graceful
  30. adjectives-dataset-30 = grotesque
  31. adjectives-dataset-31 = handsome
  32. adjectives-dataset-32 = homely
  33. adjectives-dataset-33 = light
  34. adjectives-dataset-34 = long
  35. adjectives-dataset-35 = magnificent
  36. adjectives-dataset-36 = misty
  37. adjectives-dataset-37 = motionless
  38. adjectives-dataset-38 = muddy
  39. adjectives-dataset-39 = old-fashioned
  40. adjectives-dataset-40 = plain
  41. adjectives-dataset-41 = poised
  42. adjectives-dataset-42 = precious
  43. adjectives-dataset-43 = quaint
  44. adjectives-dataset-44 = shiny
  45. adjectives-dataset-45 = smoggy
  46. adjectives-dataset-46 = sparkling
  47. adjectives-dataset-47 = spotless
  48. adjectives-dataset-48 = stormy
  49. adjectives-dataset-49 = strange
  50. adjectives-dataset-50 = ugly
  51. adjectives-dataset-51 = ugliest
  52. adjectives-dataset-52 = unsightly
  53. adjectives-dataset-53 = unusual
  54. adjectives-dataset-54 = wide-eyed
  55. adjectives-dataset-55 = alive
  56. adjectives-dataset-56 = annoying
  57. adjectives-dataset-57 = bad
  58. adjectives-dataset-58 = better
  59. adjectives-dataset-59 = beautiful
  60. adjectives-dataset-60 = brainy
  61. adjectives-dataset-61 = breakable
  62. adjectives-dataset-62 = busy
  63. adjectives-dataset-63 = careful
  64. adjectives-dataset-64 = cautious
  65. adjectives-dataset-65 = clever
  66. adjectives-dataset-66 = clumsy
  67. adjectives-dataset-67 = concerned
  68. adjectives-dataset-68 = crazy
  69. adjectives-dataset-69 = curious
  70. adjectives-dataset-70 = dead
  71. adjectives-dataset-71 = different
  72. adjectives-dataset-72 = difficult
  73. adjectives-dataset-73 = doubtful
  74. adjectives-dataset-74 = easy
  75. adjectives-dataset-75 = expensive
  76. adjectives-dataset-76 = famous
  77. adjectives-dataset-77 = fragile
  78. adjectives-dataset-78 = frail
  79. adjectives-dataset-79 = gifted
  80. adjectives-dataset-80 = helpful
  81. adjectives-dataset-81 = helpless
  82. adjectives-dataset-82 = horrible
  83. adjectives-dataset-83 = important
  84. adjectives-dataset-84 = impossible
  85. adjectives-dataset-85 = inexpensive
  86. adjectives-dataset-86 = innocent
  87. adjectives-dataset-87 = inquisitive
  88. adjectives-dataset-88 = modern
  89. adjectives-dataset-89 = mushy
  90. adjectives-dataset-90 = odd
  91. adjectives-dataset-91 = open
  92. adjectives-dataset-92 = outstanding
  93. adjectives-dataset-93 = poor
  94. adjectives-dataset-94 = powerful
  95. adjectives-dataset-95 = prickly
  96. adjectives-dataset-96 = puzzled
  97. adjectives-dataset-97 = real
  98. adjectives-dataset-98 = rich
  99. adjectives-dataset-99 = shy
  100. adjectives-dataset-100 = sleepy
  101. adjectives-dataset-101 = stupid
  102. adjectives-dataset-102 = super
  103. adjectives-dataset-103 = talented
  104. adjectives-dataset-104 = tame
  105. adjectives-dataset-105 = tender
  106. adjectives-dataset-106 = tough
  107. adjectives-dataset-107 = uninterested
  108. adjectives-dataset-108 = vast
  109. adjectives-dataset-109 = wandering
  110. adjectives-dataset-110 = wild
  111. adjectives-dataset-111 = wrong
  112. adjectives-dataset-112 = angry
  113. adjectives-dataset-113 = annoyed
  114. adjectives-dataset-114 = anxious
  115. adjectives-dataset-115 = arrogant
  116. adjectives-dataset-116 = ashamed
  117. adjectives-dataset-117 = awful
  118. adjectives-dataset-118 = bad
  119. adjectives-dataset-119 = bewildered
  120. adjectives-dataset-120 = black
  121. adjectives-dataset-121 = blue
  122. adjectives-dataset-122 = bored
  123. adjectives-dataset-123 = clumsy
  124. adjectives-dataset-124 = combative
  125. adjectives-dataset-125 = condemned
  126. adjectives-dataset-126 = confused
  127. adjectives-dataset-127 = crazy,flipped-out
  128. adjectives-dataset-128 = creepy
  129. adjectives-dataset-129 = cruel
  130. adjectives-dataset-130 = dangerous
  131. adjectives-dataset-131 = defeated
  132. adjectives-dataset-132 = defiant
  133. adjectives-dataset-133 = depressed
  134. adjectives-dataset-134 = disgusted
  135. adjectives-dataset-135 = disturbed
  136. adjectives-dataset-136 = dizzy
  137. adjectives-dataset-137 = dull
  138. adjectives-dataset-138 = embarrassed
  139. adjectives-dataset-139 = envious
  140. adjectives-dataset-140 = evil
  141. adjectives-dataset-141 = fierce
  142. adjectives-dataset-142 = foolish
  143. adjectives-dataset-143 = frantic
  144. adjectives-dataset-144 = frightened
  145. adjectives-dataset-145 = grieving
  146. adjectives-dataset-146 = grumpy
  147. adjectives-dataset-147 = helpless
  148. adjectives-dataset-148 = homeless
  149. adjectives-dataset-149 = hungry
  150. adjectives-dataset-150 = hurt
  151. adjectives-dataset-151 = ill
  152. adjectives-dataset-152 = itchy
  153. adjectives-dataset-153 = jealous
  154. adjectives-dataset-154 = jittery
  155. adjectives-dataset-155 = lazy
  156. adjectives-dataset-156 = lonely
  157. adjectives-dataset-157 = mysterious
  158. adjectives-dataset-158 = nasty
  159. adjectives-dataset-159 = naughty
  160. adjectives-dataset-160 = nervous
  161. adjectives-dataset-161 = nutty
  162. adjectives-dataset-162 = obnoxious
  163. adjectives-dataset-163 = outrageous
  164. adjectives-dataset-164 = panicky
  165. adjectives-dataset-165 = repulsive
  166. adjectives-dataset-166 = scary
  167. adjectives-dataset-167 = selfish
  168. adjectives-dataset-168 = sore
  169. adjectives-dataset-169 = tense
  170. adjectives-dataset-170 = terrible
  171. adjectives-dataset-171 = testy
  172. adjectives-dataset-172 = thoughtless
  173. adjectives-dataset-173 = tired
  174. adjectives-dataset-174 = troubled
  175. adjectives-dataset-175 = upset
  176. adjectives-dataset-176 = uptight
  177. adjectives-dataset-177 = weary
  178. adjectives-dataset-178 = wicked
  179. adjectives-dataset-179 = worried
  180. adjectives-dataset-180 = agreeable
  181. adjectives-dataset-181 = amused
  182. adjectives-dataset-182 = brave
  183. adjectives-dataset-183 = calm
  184. adjectives-dataset-184 = charming
  185. adjectives-dataset-185 = cheerful
  186. adjectives-dataset-186 = comfortable
  187. adjectives-dataset-187 = cooperative
  188. adjectives-dataset-188 = courageous
  189. adjectives-dataset-189 = delightful
  190. adjectives-dataset-190 = determined
  191. adjectives-dataset-191 = eager
  192. adjectives-dataset-192 = elated
  193. adjectives-dataset-193 = enchanting
  194. adjectives-dataset-194 = encouraging
  195. adjectives-dataset-195 = energetic
  196. adjectives-dataset-196 = enthusiastic
  197. adjectives-dataset-197 = excited
  198. adjectives-dataset-198 = exuberant
  199. adjectives-dataset-199 = fair
  200. adjectives-dataset-200 = faithful
  201. adjectives-dataset-201 = fantastic
  202. adjectives-dataset-202 = fine
  203. adjectives-dataset-203 = friendly
  204. adjectives-dataset-204 = funny
  205. adjectives-dataset-205 = gentle
  206. adjectives-dataset-206 = glorious
  207. adjectives-dataset-207 = good
  208. adjectives-dataset-208 = happy
  209. adjectives-dataset-209 = healthy
  210. adjectives-dataset-210 = helpful
  211. adjectives-dataset-211 = hilarious
  212. adjectives-dataset-212 = jolly
  213. adjectives-dataset-213 = joyous
  214. adjectives-dataset-214 = kind
  215. adjectives-dataset-215 = lively
  216. adjectives-dataset-216 = lovely
  217. adjectives-dataset-217 = lucky
  218. adjectives-dataset-218 = nice
  219. adjectives-dataset-219 = obedient
  220. adjectives-dataset-220 = perfect
  221. adjectives-dataset-221 = pleasant
  222. adjectives-dataset-222 = proud
  223. adjectives-dataset-223 = relieved
  224. adjectives-dataset-224 = silly
  225. adjectives-dataset-225 = smiling
  226. adjectives-dataset-226 = splendid
  227. adjectives-dataset-227 = successful
  228. adjectives-dataset-228 = thankful
  229. adjectives-dataset-229 = thoughtful
  230. adjectives-dataset-230 = victorious
  231. adjectives-dataset-231 = vivacious
  232. adjectives-dataset-232 = witty
  233. adjectives-dataset-233 = wonderful
  234. adjectives-dataset-234 = zealous
  235. adjectives-dataset-235 = zany
  236. adjectives-dataset-236 = broad
  237. adjectives-dataset-237 = chubby
  238. adjectives-dataset-238 = crooked
  239. adjectives-dataset-239 = curved
  240. adjectives-dataset-240 = deep
  241. adjectives-dataset-241 = flat
  242. adjectives-dataset-242 = high
  243. adjectives-dataset-243 = hollow
  244. adjectives-dataset-244 = low
  245. adjectives-dataset-245 = narrow
  246. adjectives-dataset-246 = round
  247. adjectives-dataset-247 = shallow
  248. adjectives-dataset-248 = skinny
  249. adjectives-dataset-249 = square
  250. adjectives-dataset-250 = steep
  251. adjectives-dataset-251 = straight
  252. adjectives-dataset-252 = wide
  253. adjectives-dataset-253 = big
  254. adjectives-dataset-254 = colossal
  255. adjectives-dataset-255 = fat
  256. adjectives-dataset-256 = gigantic
  257. adjectives-dataset-257 = great
  258. adjectives-dataset-258 = huge
  259. adjectives-dataset-259 = immense
  260. adjectives-dataset-260 = large
  261. adjectives-dataset-261 = little
  262. adjectives-dataset-262 = mammoth
  263. adjectives-dataset-263 = massive
  264. adjectives-dataset-264 = miniature
  265. adjectives-dataset-265 = petite
  266. adjectives-dataset-266 = puny
  267. adjectives-dataset-267 = scrawny
  268. adjectives-dataset-268 = short
  269. adjectives-dataset-269 = small
  270. adjectives-dataset-270 = tall
  271. adjectives-dataset-271 = teeny
  272. adjectives-dataset-272 = teeny-tiny
  273. adjectives-dataset-273 = tiny
  274. adjectives-dataset-274 = cooing
  275. adjectives-dataset-275 = deafening
  276. adjectives-dataset-276 = faint
  277. adjectives-dataset-277 = harsh
  278. adjectives-dataset-278 = high-pitched
  279. adjectives-dataset-279 = hissing
  280. adjectives-dataset-280 = hushed
  281. adjectives-dataset-281 = husky
  282. adjectives-dataset-282 = loud
  283. adjectives-dataset-283 = melodic
  284. adjectives-dataset-284 = moaning
  285. adjectives-dataset-285 = mute
  286. adjectives-dataset-286 = noisy
  287. adjectives-dataset-287 = purring
  288. adjectives-dataset-288 = quiet
  289. adjectives-dataset-289 = raspy
  290. adjectives-dataset-290 = resonant
  291. adjectives-dataset-291 = screeching
  292. adjectives-dataset-292 = shrill
  293. adjectives-dataset-293 = silent
  294. adjectives-dataset-294 = soft
  295. adjectives-dataset-295 = squealing
  296. adjectives-dataset-296 = thundering
  297. adjectives-dataset-297 = voiceless
  298. adjectives-dataset-298 = whispering
  299. adjectives-dataset-299 = ancient
  300. adjectives-dataset-300 = brief
  301. adjectives-dataset-301 = early
  302. adjectives-dataset-302 = fast
  303. adjectives-dataset-303 = late
  304. adjectives-dataset-304 = long
  305. adjectives-dataset-305 = modern
  306. adjectives-dataset-306 = old
  307. adjectives-dataset-307 = old-fashioned
  308. adjectives-dataset-308 = quick
  309. adjectives-dataset-309 = rapid
  310. adjectives-dataset-310 = short
  311. adjectives-dataset-311 = slow
  312. adjectives-dataset-312 = swift
  313. adjectives-dataset-313 = young
  314. adjectives-dataset-314 = bitter
  315. adjectives-dataset-315 = delicious
  316. adjectives-dataset-316 = fresh
  317. adjectives-dataset-317 = juicy
  318. adjectives-dataset-318 = ripe
  319. adjectives-dataset-319 = rotten
  320. adjectives-dataset-320 = salty
  321. adjectives-dataset-321 = sour
  322. adjectives-dataset-322 = spicy
  323. adjectives-dataset-323 = stale
  324. adjectives-dataset-324 = sticky
  325. adjectives-dataset-325 = strong
  326. adjectives-dataset-326 = sweet
  327. adjectives-dataset-327 = tart
  328. adjectives-dataset-328 = tasteless
  329. adjectives-dataset-329 = tasty
  330. adjectives-dataset-330 = thirsty
  331. adjectives-dataset-331 = fluttering
  332. adjectives-dataset-332 = fuzzy
  333. adjectives-dataset-333 = greasy
  334. adjectives-dataset-334 = grubby
  335. adjectives-dataset-335 = hard
  336. adjectives-dataset-336 = hot
  337. adjectives-dataset-337 = icy
  338. adjectives-dataset-338 = loose
  339. adjectives-dataset-339 = melted
  340. adjectives-dataset-340 = nutritious
  341. adjectives-dataset-341 = plastic
  342. adjectives-dataset-342 = prickly
  343. adjectives-dataset-343 = rainy
  344. adjectives-dataset-344 = rough
  345. adjectives-dataset-345 = scattered
  346. adjectives-dataset-346 = shaggy
  347. adjectives-dataset-347 = shaky
  348. adjectives-dataset-348 = sharp
  349. adjectives-dataset-349 = shivering
  350. adjectives-dataset-350 = silky
  351. adjectives-dataset-351 = slimy
  352. adjectives-dataset-352 = slippery
  353. adjectives-dataset-353 = smooth
  354. adjectives-dataset-354 = soft
  355. adjectives-dataset-355 = solid
  356. adjectives-dataset-356 = steady
  357. adjectives-dataset-357 = sticky
  358. adjectives-dataset-358 = tender
  359. adjectives-dataset-359 = tight
  360. adjectives-dataset-360 = uneven
  361. adjectives-dataset-361 = weak
  362. adjectives-dataset-362 = wet
  363. adjectives-dataset-363 = wooden
  364. adjectives-dataset-364 = yummy
  365. adjectives-dataset-365 = boiling
  366. adjectives-dataset-366 = breezy
  367. adjectives-dataset-367 = broken
  368. adjectives-dataset-368 = bumpy
  369. adjectives-dataset-369 = chilly
  370. adjectives-dataset-370 = cold
  371. adjectives-dataset-371 = cool
  372. adjectives-dataset-372 = creepy
  373. adjectives-dataset-373 = crooked
  374. adjectives-dataset-374 = cuddly
  375. adjectives-dataset-375 = curly
  376. adjectives-dataset-376 = damaged
  377. adjectives-dataset-377 = damp
  378. adjectives-dataset-378 = dirty
  379. adjectives-dataset-379 = dry
  380. adjectives-dataset-380 = dusty
  381. adjectives-dataset-381 = filthy
  382. adjectives-dataset-382 = flaky
  383. adjectives-dataset-383 = fluffy
  384. adjectives-dataset-384 = freezing
  385. adjectives-dataset-385 = hot
  386. adjectives-dataset-386 = warm
  387. adjectives-dataset-387 = wet
  388. adjectives-dataset-388 = abundant
  389. adjectives-dataset-389 = empty
  390. adjectives-dataset-390 = few
  391. adjectives-dataset-391 = heavy
  392. adjectives-dataset-392 = light
  393. adjectives-dataset-393 = many
  394. adjectives-dataset-394 = numerous
  395. adjectives-dataset-395 = substantial
  396. adjectives-dataset-396 = capitalist