clothing 2665
clothes 1437
left 100 300
WORD 1: CLOTHING
WORD W1 W2
ARTICLE 233 2 you have to take an article of clothing off while he slipped off the last article of clothing
ARTICLES 179 2 wore three articles of clothing bought 64 articles of clothing
SHEEP 305 6 assembled a whole pack of wolves in sheep's clothing. it's a real sheep in wolves clothing. is a wolf in sheep' s clothing.
PROTECTIVE 225 6 , with advice given on use of protective clothing wear protective clothing
ITEM 136 4 donate an item of clothing Carole hadn't purchased a single new item of clothing since she'd married Michael.
WOLF 160 6
PIECE 303 15 ripped a piece of her clothing allow you to change one piece of dirty clothing buy a piece of clothing
SHELTER 174 18 food, shelter(,) and clothing Shelter, food, clothing, transportation, tools
PIECES 111 12
ITEMS 167 30 A few items of clothing Many items of children's clothing a million items of clothing
EVERY 109 32 every piece of clothing every article of clothing
VINTAGE 179 54 works in a vintage clothing store Grace had loved dressing up in vintage clothing.
FOOD 1308 418 food, drinks, clothing like food, shelter, clothing, security, education, etc. includes food, housing, clothing.
LAYERS 173 73 because he was wearing two layers of clothing. I was still in three layers of clothing.
INCLUDING 109 50
AN 303 148
LINE 139 82
SUCH 189 113
USED 217 167
WORD 2: CLOTHES
WORD W2 W1
EMPEROR 331 2
THOSE 684 30
TOOK 522 24
TAKE 1423 66 take off all your clothes
STREET 400 19
PUT 1259 70 put on my work clothes put on my own clothes
THESE 779 45
TAKING 364 23
NICE 377 24
CHANGED 420 29
CLOTHES 327 23
CHANGE 1260 95 I'll change into the fresh clothes change back into street clothes change to my professional clothes
CLEAN 618 49
OFF 1864 158
WASH 442 39
GOT 452 40
DIRTY 485 43
MY 4734 420
GET 1034 94 Get him some dry clothes. get out of these clothes get in my own clothes
WORK 595 55
ME 606 57
I 2268 284
YOUR 3931 504
YOU 2016 271
OLD 630 87
BABY 345 48
N'T 1128 164
SAME 435 67
SOME 1975 310
OUT 1110 176
NEW 1417 231
JUST 516 86
CIVILIAN 318 54
WE 646 112
HIM 374 65
? 765 135
BUY 853 156
OUR 1117 214
HIS 4985 960
HAVE 1299 251
SHE 1203 233
UP 818 159
HAD 895 174
ALL 1721 336
HE 1130 225
HER 4714 963
WHERE 365 75
WET 352 73
- 491 102
DO 592 124
NO 885 195
WHAT 382 90
NEED 419 101
HAS 433 106
ARE 754 190
WHEN 317 80
THEY 914 246
WITHOUT 332 90
WORE 581 160
WERE 490 141
CAN 410 122
THEM 387 116
INTO 708 217
HAIR 362 111
BUT 499 158
PEOPLE 315 101
THEIR 2729 879
WEARING 1562 524
MAKE 346 117
WAS 824 281
WITH 2312 789
OWN 553 191
. 6369 2259
ON 2513 896
TO 4842 1772
EVEN 341 125
" 1486 546
DRESSED 569 211
ANY 458 171
IT 714 269
ABOUT 717 278
DESIGNER 303 120
WHO 375 151
LIKE 638 260
THE 9431 3848
NOT 571 233
WEAR 1506 615
MORE 461 201
' 500 237
IN 4818 2311
BE 365 185
: 542 287
THAT 960 562
AND 6198 3631
AT 509 301
THROUGH 350 212
IS 537 328
OTHER 336 213
'S 3188 2034
FOR 1610 1048
标签:based,food,my,vs,WORD,clothing,change,clothes From: https://www.cnblogs.com/hhdom/p/18663786