Queries 149301 - 149400

Below is a list of the most frequent queries that people use when searching for a translation of a word or phrase.

149301. are not mad
149303. will be making
149304. my gift to you
149306. wife will
149307. place hotel
149308. just a few hours
149309. very few people
149310. it's no surprise
149312. have influenced
149313. were named
149314. hindsight
149316. enough to find
149317. to symbolize
149318. coins unlimited
149319. timestamps
149320. is coordinated
149323. easy navigation
149324. a family again
149325. those who come
149327. modern woman
149328. this is who
149330. live online
149331. not cost
149332. has defined
149333. the social model
149334. another crucial
149335. family friendly
149336. little out of
149338. are some people
149339. sea trout
149340. every tree
149341. a urinalysis
149342. ground up to act
149343. kusadasi
149345. old girlfriend
149346. a node
149347. important person
149348. equine
149349. are also more
149350. wood chips
149351. a desktop
149353. tidy up
149354. throws himself
149355. your video files
149356. where it has
149358. details will
149359. including other
149360. no apparent
149361. global demand
149362. to the standards
149363. younger man
149364. community shall
149366. others said
149367. a weight class
149368. enough to cover
149369. will coordinate
149370. was his first
149371. hydrocarbon
149372. it is a product
149373. much to lose
149374. most members
149375. all foreign
149377. himalayan
149378. the broadcaster
149379. you will be dead
149380. play here
149381. evoked
149383. various means
149384. some fish
149385. then she said
149387. circuses
149388. party voters
149389. the algorithms
149390. good position
149391. disservice
149392. tachograph
149393. quilted jacket
149394. his law
149395. when i leave
149396. fine details
149398. synaptic
149399. this dataset