verbs.ftl 16 KB

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  1. verbs-dataset-1 = accept
  2. verbs-dataset-2 = add
  3. verbs-dataset-3 = admire
  4. verbs-dataset-4 = admit
  5. verbs-dataset-5 = advise
  6. verbs-dataset-6 = afford
  7. verbs-dataset-7 = agree
  8. verbs-dataset-8 = alert
  9. verbs-dataset-9 = allow
  10. verbs-dataset-10 = amuse
  11. verbs-dataset-11 = analyse
  12. verbs-dataset-12 = announce
  13. verbs-dataset-13 = annoy
  14. verbs-dataset-14 = answer
  15. verbs-dataset-15 = apologise
  16. verbs-dataset-16 = appear
  17. verbs-dataset-17 = applaud
  18. verbs-dataset-18 = appreciate
  19. verbs-dataset-19 = approve
  20. verbs-dataset-20 = argue
  21. verbs-dataset-21 = arrange
  22. verbs-dataset-22 = arrest
  23. verbs-dataset-23 = arrive
  24. verbs-dataset-24 = ask
  25. verbs-dataset-25 = attach
  26. verbs-dataset-26 = attack
  27. verbs-dataset-27 = attempt
  28. verbs-dataset-28 = attend
  29. verbs-dataset-29 = attract
  30. verbs-dataset-30 = avoid
  31. verbs-dataset-31 = back
  32. verbs-dataset-32 = bake
  33. verbs-dataset-33 = balance
  34. verbs-dataset-34 = ban
  35. verbs-dataset-35 = bang
  36. verbs-dataset-36 = bare
  37. verbs-dataset-37 = bat
  38. verbs-dataset-38 = bathe
  39. verbs-dataset-39 = battle
  40. verbs-dataset-40 = beam
  41. verbs-dataset-41 = beg
  42. verbs-dataset-42 = behave
  43. verbs-dataset-43 = belong
  44. verbs-dataset-44 = bleach
  45. verbs-dataset-45 = bless
  46. verbs-dataset-46 = blind
  47. verbs-dataset-47 = blink
  48. verbs-dataset-48 = blot
  49. verbs-dataset-49 = blush
  50. verbs-dataset-50 = boast
  51. verbs-dataset-51 = boil
  52. verbs-dataset-52 = bolt
  53. verbs-dataset-53 = bomb
  54. verbs-dataset-54 = book
  55. verbs-dataset-55 = bore
  56. verbs-dataset-56 = borrow
  57. verbs-dataset-57 = bounce
  58. verbs-dataset-58 = bow
  59. verbs-dataset-59 = box
  60. verbs-dataset-60 = brake
  61. verbs-dataset-61 = brake
  62. verbs-dataset-62 = branch
  63. verbs-dataset-63 = breathe
  64. verbs-dataset-64 = bruise
  65. verbs-dataset-65 = brush
  66. verbs-dataset-66 = bubble
  67. verbs-dataset-67 = bump
  68. verbs-dataset-68 = burn
  69. verbs-dataset-69 = bury
  70. verbs-dataset-70 = buzz
  71. verbs-dataset-71 = calculate
  72. verbs-dataset-72 = call
  73. verbs-dataset-73 = camp
  74. verbs-dataset-74 = care
  75. verbs-dataset-75 = carry
  76. verbs-dataset-76 = carve
  77. verbs-dataset-77 = cause
  78. verbs-dataset-78 = challenge
  79. verbs-dataset-79 = change
  80. verbs-dataset-80 = charge
  81. verbs-dataset-81 = chase
  82. verbs-dataset-82 = cheat
  83. verbs-dataset-83 = check
  84. verbs-dataset-84 = cheer
  85. verbs-dataset-85 = chew
  86. verbs-dataset-86 = choke
  87. verbs-dataset-87 = chop
  88. verbs-dataset-88 = claim
  89. verbs-dataset-89 = clap
  90. verbs-dataset-90 = clean
  91. verbs-dataset-91 = clear
  92. verbs-dataset-92 = clip
  93. verbs-dataset-93 = close
  94. verbs-dataset-94 = coach
  95. verbs-dataset-95 = coil
  96. verbs-dataset-96 = collect
  97. verbs-dataset-97 = colour
  98. verbs-dataset-98 = comb
  99. verbs-dataset-99 = command
  100. verbs-dataset-100 = communicate
  101. verbs-dataset-101 = compare
  102. verbs-dataset-102 = compete
  103. verbs-dataset-103 = complain
  104. verbs-dataset-104 = complete
  105. verbs-dataset-105 = concentrate
  106. verbs-dataset-106 = concern
  107. verbs-dataset-107 = confess
  108. verbs-dataset-108 = confuse
  109. verbs-dataset-109 = connect
  110. verbs-dataset-110 = consider
  111. verbs-dataset-111 = consist
  112. verbs-dataset-112 = contain
  113. verbs-dataset-113 = continue
  114. verbs-dataset-114 = copy
  115. verbs-dataset-115 = correct
  116. verbs-dataset-116 = cough
  117. verbs-dataset-117 = count
  118. verbs-dataset-118 = cover
  119. verbs-dataset-119 = crack
  120. verbs-dataset-120 = crash
  121. verbs-dataset-121 = crawl
  122. verbs-dataset-122 = cross
  123. verbs-dataset-123 = crush
  124. verbs-dataset-124 = cry
  125. verbs-dataset-125 = cure
  126. verbs-dataset-126 = curl
  127. verbs-dataset-127 = curve
  128. verbs-dataset-128 = cycle
  129. verbs-dataset-129 = dam
  130. verbs-dataset-130 = damage
  131. verbs-dataset-131 = dance
  132. verbs-dataset-132 = dare
  133. verbs-dataset-133 = decay
  134. verbs-dataset-134 = deceive
  135. verbs-dataset-135 = decide
  136. verbs-dataset-136 = decorate
  137. verbs-dataset-137 = delay
  138. verbs-dataset-138 = delight
  139. verbs-dataset-139 = deliver
  140. verbs-dataset-140 = depend
  141. verbs-dataset-141 = describe
  142. verbs-dataset-142 = desert
  143. verbs-dataset-143 = deserve
  144. verbs-dataset-144 = destroy
  145. verbs-dataset-145 = detect
  146. verbs-dataset-146 = develop
  147. verbs-dataset-147 = disagree
  148. verbs-dataset-148 = disappear
  149. verbs-dataset-149 = disapprove
  150. verbs-dataset-150 = disarm
  151. verbs-dataset-151 = discover
  152. verbs-dataset-152 = dislike
  153. verbs-dataset-153 = divide
  154. verbs-dataset-154 = double
  155. verbs-dataset-155 = doubt
  156. verbs-dataset-156 = drag
  157. verbs-dataset-157 = drain
  158. verbs-dataset-158 = dream
  159. verbs-dataset-159 = dress
  160. verbs-dataset-160 = drip
  161. verbs-dataset-161 = drop
  162. verbs-dataset-162 = drown
  163. verbs-dataset-163 = drum
  164. verbs-dataset-164 = dry
  165. verbs-dataset-165 = dust
  166. verbs-dataset-166 = earn
  167. verbs-dataset-167 = educate
  168. verbs-dataset-168 = embarrass
  169. verbs-dataset-169 = employ
  170. verbs-dataset-170 = empty
  171. verbs-dataset-171 = encourage
  172. verbs-dataset-172 = end
  173. verbs-dataset-173 = enjoy
  174. verbs-dataset-174 = enter
  175. verbs-dataset-175 = entertain
  176. verbs-dataset-176 = escape
  177. verbs-dataset-177 = examine
  178. verbs-dataset-178 = excite
  179. verbs-dataset-179 = excuse
  180. verbs-dataset-180 = exercise
  181. verbs-dataset-181 = exist
  182. verbs-dataset-182 = expand
  183. verbs-dataset-183 = expect
  184. verbs-dataset-184 = explain
  185. verbs-dataset-185 = explode
  186. verbs-dataset-186 = extend
  187. verbs-dataset-187 = face
  188. verbs-dataset-188 = fade
  189. verbs-dataset-189 = fail
  190. verbs-dataset-190 = fancy
  191. verbs-dataset-191 = fasten
  192. verbs-dataset-192 = fax
  193. verbs-dataset-193 = fear
  194. verbs-dataset-194 = fence
  195. verbs-dataset-195 = fetch
  196. verbs-dataset-196 = file
  197. verbs-dataset-197 = fill
  198. verbs-dataset-198 = film
  199. verbs-dataset-199 = fire
  200. verbs-dataset-200 = fit
  201. verbs-dataset-201 = fix
  202. verbs-dataset-202 = flap
  203. verbs-dataset-203 = flash
  204. verbs-dataset-204 = float
  205. verbs-dataset-205 = flood
  206. verbs-dataset-206 = flow
  207. verbs-dataset-207 = flower
  208. verbs-dataset-208 = fold
  209. verbs-dataset-209 = follow
  210. verbs-dataset-210 = fool
  211. verbs-dataset-211 = force
  212. verbs-dataset-212 = form
  213. verbs-dataset-213 = found
  214. verbs-dataset-214 = frame
  215. verbs-dataset-215 = frighten
  216. verbs-dataset-216 = fry
  217. verbs-dataset-217 = gather
  218. verbs-dataset-218 = gaze
  219. verbs-dataset-219 = glow
  220. verbs-dataset-220 = glue
  221. verbs-dataset-221 = grab
  222. verbs-dataset-222 = grate
  223. verbs-dataset-223 = grease
  224. verbs-dataset-224 = greet
  225. verbs-dataset-225 = grin
  226. verbs-dataset-226 = grip
  227. verbs-dataset-227 = groan
  228. verbs-dataset-228 = guarantee
  229. verbs-dataset-229 = guard
  230. verbs-dataset-230 = guess
  231. verbs-dataset-231 = guide
  232. verbs-dataset-232 = hammer
  233. verbs-dataset-233 = hand
  234. verbs-dataset-234 = handle
  235. verbs-dataset-235 = hang
  236. verbs-dataset-236 = happen
  237. verbs-dataset-237 = harass
  238. verbs-dataset-238 = harm
  239. verbs-dataset-239 = hate
  240. verbs-dataset-240 = haunt
  241. verbs-dataset-241 = head
  242. verbs-dataset-242 = heal
  243. verbs-dataset-243 = heap
  244. verbs-dataset-244 = heat
  245. verbs-dataset-245 = help
  246. verbs-dataset-246 = hook
  247. verbs-dataset-247 = hop
  248. verbs-dataset-248 = hope
  249. verbs-dataset-249 = hover
  250. verbs-dataset-250 = hug
  251. verbs-dataset-251 = hum
  252. verbs-dataset-252 = hunt
  253. verbs-dataset-253 = hurry
  254. verbs-dataset-254 = identify
  255. verbs-dataset-255 = ignore
  256. verbs-dataset-256 = imagine
  257. verbs-dataset-257 = impress
  258. verbs-dataset-258 = improve
  259. verbs-dataset-259 = include
  260. verbs-dataset-260 = increase
  261. verbs-dataset-261 = influence
  262. verbs-dataset-262 = inform
  263. verbs-dataset-263 = inject
  264. verbs-dataset-264 = injure
  265. verbs-dataset-265 = instruct
  266. verbs-dataset-266 = intend
  267. verbs-dataset-267 = interest
  268. verbs-dataset-268 = interfere
  269. verbs-dataset-269 = interrupt
  270. verbs-dataset-270 = introduce
  271. verbs-dataset-271 = invent
  272. verbs-dataset-272 = invite
  273. verbs-dataset-273 = irritate
  274. verbs-dataset-274 = itch
  275. verbs-dataset-275 = jail
  276. verbs-dataset-276 = jam
  277. verbs-dataset-277 = jog
  278. verbs-dataset-278 = join
  279. verbs-dataset-279 = joke
  280. verbs-dataset-280 = judge
  281. verbs-dataset-281 = juggle
  282. verbs-dataset-282 = jump
  283. verbs-dataset-283 = kick
  284. verbs-dataset-284 = kill
  285. verbs-dataset-285 = kiss
  286. verbs-dataset-286 = kneel
  287. verbs-dataset-287 = knit
  288. verbs-dataset-288 = knock
  289. verbs-dataset-289 = knot
  290. verbs-dataset-290 = label
  291. verbs-dataset-291 = land
  292. verbs-dataset-292 = last
  293. verbs-dataset-293 = laugh
  294. verbs-dataset-294 = launch
  295. verbs-dataset-295 = learn
  296. verbs-dataset-296 = level
  297. verbs-dataset-297 = license
  298. verbs-dataset-298 = lick
  299. verbs-dataset-299 = lie
  300. verbs-dataset-300 = lighten
  301. verbs-dataset-301 = like
  302. verbs-dataset-302 = list
  303. verbs-dataset-303 = listen
  304. verbs-dataset-304 = live
  305. verbs-dataset-305 = load
  306. verbs-dataset-306 = lock
  307. verbs-dataset-307 = long
  308. verbs-dataset-308 = look
  309. verbs-dataset-309 = love
  310. verbs-dataset-310 = man
  311. verbs-dataset-311 = manage
  312. verbs-dataset-312 = march
  313. verbs-dataset-313 = mark
  314. verbs-dataset-314 = marry
  315. verbs-dataset-315 = match
  316. verbs-dataset-316 = mate
  317. verbs-dataset-317 = matter
  318. verbs-dataset-318 = measure
  319. verbs-dataset-319 = meddle
  320. verbs-dataset-320 = melt
  321. verbs-dataset-321 = memorise
  322. verbs-dataset-322 = mend
  323. verbs-dataset-323 = messup
  324. verbs-dataset-324 = milk
  325. verbs-dataset-325 = mine
  326. verbs-dataset-326 = miss
  327. verbs-dataset-327 = mix
  328. verbs-dataset-328 = moan
  329. verbs-dataset-329 = moor
  330. verbs-dataset-330 = mourn
  331. verbs-dataset-331 = move
  332. verbs-dataset-332 = muddle
  333. verbs-dataset-333 = mug
  334. verbs-dataset-334 = multiply
  335. verbs-dataset-335 = murder
  336. verbs-dataset-336 = nail
  337. verbs-dataset-337 = name
  338. verbs-dataset-338 = need
  339. verbs-dataset-339 = nest
  340. verbs-dataset-340 = nod
  341. verbs-dataset-341 = note
  342. verbs-dataset-342 = notice
  343. verbs-dataset-343 = number
  344. verbs-dataset-344 = obey
  345. verbs-dataset-345 = object
  346. verbs-dataset-346 = observe
  347. verbs-dataset-347 = obtain
  348. verbs-dataset-348 = occur
  349. verbs-dataset-349 = offend
  350. verbs-dataset-350 = offer
  351. verbs-dataset-351 = open
  352. verbs-dataset-352 = order
  353. verbs-dataset-353 = overflow
  354. verbs-dataset-354 = owe
  355. verbs-dataset-355 = own
  356. verbs-dataset-356 = pack
  357. verbs-dataset-357 = paddle
  358. verbs-dataset-358 = paint
  359. verbs-dataset-359 = park
  360. verbs-dataset-360 = part
  361. verbs-dataset-361 = pass
  362. verbs-dataset-362 = paste
  363. verbs-dataset-363 = pat
  364. verbs-dataset-364 = pause
  365. verbs-dataset-365 = peck
  366. verbs-dataset-366 = pedal
  367. verbs-dataset-367 = peel
  368. verbs-dataset-368 = peep
  369. verbs-dataset-369 = perform
  370. verbs-dataset-370 = permit
  371. verbs-dataset-371 = phone
  372. verbs-dataset-372 = pick
  373. verbs-dataset-373 = pinch
  374. verbs-dataset-374 = pine
  375. verbs-dataset-375 = place
  376. verbs-dataset-376 = plan
  377. verbs-dataset-377 = plant
  378. verbs-dataset-378 = play
  379. verbs-dataset-379 = please
  380. verbs-dataset-380 = plug
  381. verbs-dataset-381 = point
  382. verbs-dataset-382 = poke
  383. verbs-dataset-383 = polish
  384. verbs-dataset-384 = pop
  385. verbs-dataset-385 = possess
  386. verbs-dataset-386 = post
  387. verbs-dataset-387 = pour
  388. verbs-dataset-388 = practise
  389. verbs-dataset-389 = pray
  390. verbs-dataset-390 = preach
  391. verbs-dataset-391 = precede
  392. verbs-dataset-392 = prefer
  393. verbs-dataset-393 = prepare
  394. verbs-dataset-394 = present
  395. verbs-dataset-395 = preserve
  396. verbs-dataset-396 = press
  397. verbs-dataset-397 = pretend
  398. verbs-dataset-398 = prevent
  399. verbs-dataset-399 = prick
  400. verbs-dataset-400 = print
  401. verbs-dataset-401 = produce
  402. verbs-dataset-402 = program
  403. verbs-dataset-403 = promise
  404. verbs-dataset-404 = protect
  405. verbs-dataset-405 = provide
  406. verbs-dataset-406 = pull
  407. verbs-dataset-407 = pump
  408. verbs-dataset-408 = punch
  409. verbs-dataset-409 = puncture
  410. verbs-dataset-410 = punish
  411. verbs-dataset-411 = push
  412. verbs-dataset-412 = question
  413. verbs-dataset-413 = queue
  414. verbs-dataset-414 = race
  415. verbs-dataset-415 = radiate
  416. verbs-dataset-416 = rain
  417. verbs-dataset-417 = raise
  418. verbs-dataset-418 = reach
  419. verbs-dataset-419 = realise
  420. verbs-dataset-420 = receive
  421. verbs-dataset-421 = recognise
  422. verbs-dataset-422 = record
  423. verbs-dataset-423 = reduce
  424. verbs-dataset-424 = reflect
  425. verbs-dataset-425 = refuse
  426. verbs-dataset-426 = regret
  427. verbs-dataset-427 = reign
  428. verbs-dataset-428 = reject
  429. verbs-dataset-429 = rejoice
  430. verbs-dataset-430 = relax
  431. verbs-dataset-431 = release
  432. verbs-dataset-432 = rely
  433. verbs-dataset-433 = remain
  434. verbs-dataset-434 = remember
  435. verbs-dataset-435 = remind
  436. verbs-dataset-436 = remove
  437. verbs-dataset-437 = repair
  438. verbs-dataset-438 = repeat
  439. verbs-dataset-439 = replace
  440. verbs-dataset-440 = reply
  441. verbs-dataset-441 = report
  442. verbs-dataset-442 = reproduce
  443. verbs-dataset-443 = request
  444. verbs-dataset-444 = rescue
  445. verbs-dataset-445 = retire
  446. verbs-dataset-446 = return
  447. verbs-dataset-447 = rhyme
  448. verbs-dataset-448 = rinse
  449. verbs-dataset-449 = risk
  450. verbs-dataset-450 = rob
  451. verbs-dataset-451 = rock
  452. verbs-dataset-452 = roll
  453. verbs-dataset-453 = rot
  454. verbs-dataset-454 = rub
  455. verbs-dataset-455 = ruin
  456. verbs-dataset-456 = rule
  457. verbs-dataset-457 = rush
  458. verbs-dataset-458 = sack
  459. verbs-dataset-459 = sail
  460. verbs-dataset-460 = satisfy
  461. verbs-dataset-461 = save
  462. verbs-dataset-462 = saw
  463. verbs-dataset-463 = scare
  464. verbs-dataset-464 = scatter
  465. verbs-dataset-465 = scold
  466. verbs-dataset-466 = scorch
  467. verbs-dataset-467 = scrape
  468. verbs-dataset-468 = scratch
  469. verbs-dataset-469 = scream
  470. verbs-dataset-470 = screw
  471. verbs-dataset-471 = scribble
  472. verbs-dataset-472 = scrub
  473. verbs-dataset-473 = seal
  474. verbs-dataset-474 = search
  475. verbs-dataset-475 = separate
  476. verbs-dataset-476 = serve
  477. verbs-dataset-477 = settle
  478. verbs-dataset-478 = shade
  479. verbs-dataset-479 = share
  480. verbs-dataset-480 = shave
  481. verbs-dataset-481 = shelter
  482. verbs-dataset-482 = shiver
  483. verbs-dataset-483 = shock
  484. verbs-dataset-484 = shop
  485. verbs-dataset-485 = shriek
  486. verbs-dataset-486 = shrug
  487. verbs-dataset-487 = sigh
  488. verbs-dataset-488 = sign
  489. verbs-dataset-489 = signal
  490. verbs-dataset-490 = sin
  491. verbs-dataset-491 = sip
  492. verbs-dataset-492 = ski
  493. verbs-dataset-493 = skip
  494. verbs-dataset-494 = slap
  495. verbs-dataset-495 = slip
  496. verbs-dataset-496 = slow
  497. verbs-dataset-497 = smash
  498. verbs-dataset-498 = smell
  499. verbs-dataset-499 = smile
  500. verbs-dataset-500 = smoke
  501. verbs-dataset-501 = snatch
  502. verbs-dataset-502 = sneeze
  503. verbs-dataset-503 = sniff
  504. verbs-dataset-504 = snore
  505. verbs-dataset-505 = snow
  506. verbs-dataset-506 = soak
  507. verbs-dataset-507 = soothe
  508. verbs-dataset-508 = sound
  509. verbs-dataset-509 = spare
  510. verbs-dataset-510 = spark
  511. verbs-dataset-511 = sparkle
  512. verbs-dataset-512 = spell
  513. verbs-dataset-513 = spill
  514. verbs-dataset-514 = spoil
  515. verbs-dataset-515 = spot
  516. verbs-dataset-516 = spray
  517. verbs-dataset-517 = sprout
  518. verbs-dataset-518 = squash
  519. verbs-dataset-519 = squeak
  520. verbs-dataset-520 = squeal
  521. verbs-dataset-521 = squeeze
  522. verbs-dataset-522 = stain
  523. verbs-dataset-523 = stamp
  524. verbs-dataset-524 = stare
  525. verbs-dataset-525 = start
  526. verbs-dataset-526 = stay
  527. verbs-dataset-527 = steer
  528. verbs-dataset-528 = step
  529. verbs-dataset-529 = stir
  530. verbs-dataset-530 = stitch
  531. verbs-dataset-531 = stop
  532. verbs-dataset-532 = store
  533. verbs-dataset-533 = strap
  534. verbs-dataset-534 = strengthen
  535. verbs-dataset-535 = stretch
  536. verbs-dataset-536 = stroke
  537. verbs-dataset-537 = stuff
  538. verbs-dataset-538 = subtract
  539. verbs-dataset-539 = succeed
  540. verbs-dataset-540 = suck
  541. verbs-dataset-541 = suffer
  542. verbs-dataset-542 = suggest
  543. verbs-dataset-543 = suit
  544. verbs-dataset-544 = supply
  545. verbs-dataset-545 = support
  546. verbs-dataset-546 = suppose
  547. verbs-dataset-547 = surprise
  548. verbs-dataset-548 = surround
  549. verbs-dataset-549 = suspect
  550. verbs-dataset-550 = suspend
  551. verbs-dataset-551 = switch
  552. verbs-dataset-552 = talk
  553. verbs-dataset-553 = tame
  554. verbs-dataset-554 = tap
  555. verbs-dataset-555 = taste
  556. verbs-dataset-556 = tease
  557. verbs-dataset-557 = telephone
  558. verbs-dataset-558 = tempt
  559. verbs-dataset-559 = terrify
  560. verbs-dataset-560 = test
  561. verbs-dataset-561 = thank
  562. verbs-dataset-562 = thaw
  563. verbs-dataset-563 = tick
  564. verbs-dataset-564 = tickle
  565. verbs-dataset-565 = tie
  566. verbs-dataset-566 = time
  567. verbs-dataset-567 = tip
  568. verbs-dataset-568 = tire
  569. verbs-dataset-569 = touch
  570. verbs-dataset-570 = tour
  571. verbs-dataset-571 = tow
  572. verbs-dataset-572 = trace
  573. verbs-dataset-573 = trade
  574. verbs-dataset-574 = train
  575. verbs-dataset-575 = transport
  576. verbs-dataset-576 = trap
  577. verbs-dataset-577 = travel
  578. verbs-dataset-578 = treat
  579. verbs-dataset-579 = tremble
  580. verbs-dataset-580 = trick
  581. verbs-dataset-581 = trip
  582. verbs-dataset-582 = trot
  583. verbs-dataset-583 = trouble
  584. verbs-dataset-584 = trust
  585. verbs-dataset-585 = try
  586. verbs-dataset-586 = tug
  587. verbs-dataset-587 = tumble
  588. verbs-dataset-588 = turn
  589. verbs-dataset-589 = twist
  590. verbs-dataset-590 = type
  591. verbs-dataset-591 = unfasten
  592. verbs-dataset-592 = unite
  593. verbs-dataset-593 = unlock
  594. verbs-dataset-594 = unpack
  595. verbs-dataset-595 = untidy
  596. verbs-dataset-596 = use
  597. verbs-dataset-597 = vanish
  598. verbs-dataset-598 = visit
  599. verbs-dataset-599 = wail
  600. verbs-dataset-600 = wait
  601. verbs-dataset-601 = walk
  602. verbs-dataset-602 = wander
  603. verbs-dataset-603 = want
  604. verbs-dataset-604 = warm
  605. verbs-dataset-605 = warn
  606. verbs-dataset-606 = wash
  607. verbs-dataset-607 = waste
  608. verbs-dataset-608 = watch
  609. verbs-dataset-609 = water
  610. verbs-dataset-610 = wave
  611. verbs-dataset-611 = weigh
  612. verbs-dataset-612 = welcome
  613. verbs-dataset-613 = whine
  614. verbs-dataset-614 = whip
  615. verbs-dataset-615 = whirl
  616. verbs-dataset-616 = whistle
  617. verbs-dataset-617 = wink
  618. verbs-dataset-618 = wipe
  619. verbs-dataset-619 = wish
  620. verbs-dataset-620 = wobble
  621. verbs-dataset-621 = wonder
  622. verbs-dataset-622 = work
  623. verbs-dataset-623 = worry
  624. verbs-dataset-624 = wrap
  625. verbs-dataset-625 = wreck
  626. verbs-dataset-626 = wrestle
  627. verbs-dataset-627 = wriggle
  628. verbs-dataset-628 = yawn
  629. verbs-dataset-629 = yell
  630. verbs-dataset-630 = zip
  631. verbs-dataset-631 = zoom