# To understand this file, see https://mk.bcgsc.ca/debates2016/?methods
# clinton-trump-01/parsed/pos.trump.noun.txt
lester | 0 0 NNP noun
jobs | 1 1 NNS noun
mexico | 2 2 NNP noun
china | 4 3 NNP noun
country | 4 4 NN noun
terms | 4 5 NNS noun
currency | 5 6 NN noun
nobody | 5 7 NN noun
government | 5 8 NN noun
country | 8 9 NN noun
piggy | 8 10 NN noun
bank | 8 11 NN noun
china | 8 12 NNP noun
countries | 8 13 NNS noun
jobs | 9 14 NN noun
many | 9 15 NN noun
mexico | 10 16 NNP noun
friend | 10 17 NN noun
mine | 10 18 NN noun
plants | 10 19 NNS noun
wonder | 10 20 NN noun
plants | 11 21 NNS noun
united | 12 22 NNP noun
states | 12 23 NNP noun
ford | 13 24 NNP noun
car | 14 25 NN noun
division | 14 26 NN noun
thousands | 15 27 NNS noun
jobs | 15 28 NNS noun
michigan | 15 29 NNP noun
ohio | 15 30 NNP noun
child | 18 31 NN noun
care | 18 32 NN noun
things | 18 33 NN noun
hillary | 18 34 NNP noun
bit | 19 35 NN noun
numbers | 19 36 NNS noun
amounts | 19 37 NNS noun
jobs | 20 38 NNS noun
companies | 21 39 NNS noun
united | 21 40 NNP noun
states | 21 41 NNPS noun
look | 22 42 NN noun
carrier | 22 43 NNP noun
air | 22 44 NN noun
conditioning | 22 45 NN noun
indianapolis | 22 46 NNP noun
mexico | 24 47 NNP noun
hundreds | 25 48 NNS noun
hundreds | 25 49 NNS noun
companies | 25 50 NNS noun
plan | 27 51 NNP noun
taxes | 27 52 NNS noun
percent | 27 53 NN noun
percent | 27 54 NN noun
companies | 27 55 NN noun
job | 28 56 NN noun
creator | 28 57 NN noun
ronald | 28 58 NNP noun
reagan | 28 59 NNP noun
thing | 29 60 NN noun
companies | 30 61 NNS noun
companies | 33 62 NNS noun
trade | 35 63 NN noun
deals | 35 64 NN noun
countries | 35 65 NNS noun
companies | 35 66 NNS noun
well | 36 67 NNS noun
thing | 36 68 NN noun
father | 36 69 NN noun
loan | 36 70 NN noun
company | 36 71 NN noun
billions | 36 72 NNS noun
dollars | 36 73 NN noun
assets | 36 74 NNS noun
world | 36 75 NN noun
kind | 36 76 NN noun
country | 36 77 NN noun
country | 37 78 NNS noun
know | 38 79 NN noun
devaluations | 38 80 NNS noun
countries | 38 81 NNS noun
world | 38 82 NN noun
china | 38 83 NNP noun
trade | 41 84 NN noun
lester | 42 85 NNP noun
jobs | 42 86 NN noun
incentives | 42 87 NN noun
things | 42 88 NNS noun
example | 43 89 NN noun
mexico | 43 90 NNP noun
vat | 44 91 NNP noun
mexico | 46 92 NNP noun
automatic | 47 93 NN noun
percent | 47 94 NN noun
time | 50 95 NN noun
years | 50 96 NN noun
politicians | 50 97 NNS noun
anything | 50 98 NN noun
now | 51 99 NNS noun
fairness | 51 100 NN noun
secretary | 51 101 NNP noun
clinton | 51 102 NNP noun
yes | 51 103 NN noun
ok | 51 104 NNP noun
good | 52 105 NNP noun
fairness | 55 106 NN noun
secretary | 55 107 NNP noun
clinton | 55 108 NNP noun
agreements | 57 109 NNS noun
nafta | 58 110 NNP noun
agreement | 58 111 NN noun
tax | 59 112 NN noun
reasons | 59 113 NN noun
secretary | 60 114 NNP noun
clinton | 60 115 NNP noun
others | 60 116 NN noun
politicians | 60 117 NN noun
years | 60 118 NN noun
now | 60 119 NN noun
fact | 60 120 NN noun
jobs | 62 121 NNS noun
country | 62 122 NN noun
economy | 62 123 NN noun
look | 62 124 NN noun
longer | 63 125 NNP noun
lester | 63 126 NNP noun
well | 64 127 NNP noun
thing | 64 128 NN noun
jobs | 64 129 NNS noun
companies | 65 130 NNS noun
thousands | 66 131 NNS noun
leaving | 67 132 NN noun
numbers | 67 133 NNS noun
mexico | 68 134 NNP noun
country | 68 135 NN noun
lot | 69 136 NN noun
air | 70 137 NN noun
conditioners | 70 138 NNS noun
cars | 70 139 NNS noun
cookies | 70 140 NNS noun
country | 70 141 NN noun
tax | 70 142 NN noun
politicians | 71 143 NNS noun
interests | 71 144 NNS noun
interests | 71 145 NNS noun
companies | 71 146 NNS noun
cases | 71 147 NN noun
big | 74 148 NN noun
business | 75 149 NN noun
plenty | 81 150 NN noun
money | 81 151 NN noun
look | 82 152 NNP noun
believer | 82 153 NN noun
forms | 82 154 NNS noun
energy | 82 155 NN noun
lot | 82 156 NN noun
people | 82 157 NNS noun
energy | 83 158 NN noun
policies | 83 159 NNS noun
country | 84 160 NN noun
terms | 84 161 NNS noun
energy | 84 162 NN noun
terms | 84 163 NNS noun
obama | 86 164 NNP noun
administration | 86 165 NN noun
time | 86 166 NN noun
years | 86 167 NN noun
worth | 86 168 NN noun
debt | 86 169 NN noun
course | 87 170 NN noun
years | 87 171 NN noun
years | 87 172 NN noun
job | 89 173 NN noun
job | 90 174 NN noun
companies | 90 175 NNS noun
incentives | 90 176 NNS noun
companies | 90 177 NNS noun
michigan | 91 178 NNP noun
ohio | 91 179 NNP noun
places | 91 180 NNS noun
many | 91 181 NN noun
jobs | 91 182 NNS noun
companies | 91 183 NNS noun
hillary | 92 184 NNP noun
solutions | 94 185 NNS noun
now | 94 186 NN noun
years | 95 187 NN noun
excuse | 96 188 NN noun
yeah | 99 189 NNS noun
well | 100 190 NNP noun
nafta | 101 191 NNP noun
trade | 101 192 NN noun
deal | 101 193 NN noun
years | 102 194 NNS noun
years | 102 195 NNS noun
number | 102 196 NN noun
husband | 106 197 NN noun
nafta | 106 198 NNP noun
things | 106 199 NNS noun
manufacturing | 106 200 NN noun
new | 107 201 NNP noun
england | 107 202 NNP noun
ohio | 107 203 NNP noun
pennsylvania | 107 204 NNP noun
secretary | 107 205 NNP noun
clinton | 107 206 NNP noun
devastation | 107 207 NN noun
nafta | 108 208 NNP noun
trade | 108 209 NN noun
deal | 108 210 NN noun
anywhere | 108 211 NN noun
trans-pacific | 109 212 NNP noun
partnership | 109 213 NNP noun
favor | 110 214 NN noun
win | 112 215 NN noun
nafta | 112 216 NNP noun
nothing | 113 217 NN noun
nafta | 113 218 NNP noun
gold | 114 219 NN noun
gold | 115 220 NN noun
standard | 115 221 NN noun
trade | 115 222 NN noun
deal | 116 223 NN noun
president | 118 224 NNP noun
obama | 118 225 NNP noun
fault | 118 226 NN noun
president | 119 227 NNP noun
obama | 119 228 NNP noun
fault | 119 229 NN noun
secretary | 120 230 NNP noun
president | 120 231 NNP noun
obama | 120 232 NNP noun
fault | 120 233 NN noun
secretary | 123 234 NNP noun
tax | 124 235 NN noun
cuts | 124 236 NNS noun
tax | 125 237 NN noun
increases | 125 238 NNS noun
business | 126 239 NN noun
regulations | 127 240 NNS noun
disaster | 127 241 NN noun
regulations | 127 242 NNS noun
tax | 128 243 NN noun
cut | 128 244 NN noun
ronald | 128 245 NNP noun
reagan | 128 246 NNP noun
numbers | 130 247 NNS noun
regulations | 131 248 NN noun
businesses | 131 249 NNS noun
lester | 132 250 NNP noun
tax | 133 251 NN noun
thing | 133 252 NN noun
things | 133 253 NNS noun
business | 133 254 NN noun
people | 133 255 NNS noun
fact | 133 256 NN noun
regulations | 134 257 NNS noun
top | 134 258 NN noun
regulations | 134 259 NN noun
companies | 134 260 NNS noun
companies | 134 261 NNS noun
regulations | 135 262 NNS noun
taxes | 137 263 NNS noun
league | 137 264 NN noun
taxes | 137 265 NNS noun
league | 137 266 NN noun
end | 137 267 NN noun
facts | 138 268 NNP noun
look | 139 269 NN noun
mine | 139 270 NN noun
well | 140 271 NNP noun
website | 141 272 NN noun
look | 141 273 NN noun
taxes | 142 274 NNS noun
difference | 145 275 NN noun
isis | 146 276 NNP noun
isis | 148 277 NNP noun
general | 149 278 NNP noun
douglas | 149 279 NNP noun
macarthur | 149 280 NNP noun
enemy | 150 281 NN noun
everything | 150 282 NN noun
enemy | 151 283 NN noun
everything | 151 284 NN noun
wonder | 152 285 NN noun
wonder | 152 286 NN noun
isis | 152 287 NNP noun
adult | 152 288 NN noun
well | 153 289 NNP noun
jobs | 153 290 NN noun
interest | 156 291 NN noun
tax | 157 292 NN noun
thing | 157 293 NN noun
thing | 158 294 NN noun
middle | 158 295 NN noun
thing | 159 296 NN noun
companies | 159 297 NNS noun
people | 160 298 NNS noun
billions | 160 299 NNS noun
billions | 160 300 NNS noun
dollars | 160 301 NNS noun
companies | 160 302 NN noun
overseas | 160 303 NN noun
money | 160 304 NN noun
back | 160 305 NN noun
politicians | 160 306 NNS noun
secretary | 160 307 NNP noun
clinton | 160 308 NNP noun
money | 160 309 NN noun
back | 160 310 NN noun
taxes | 160 311 NNS noun
tape | 160 312 NN noun
country | 161 313 NN noun
taxes | 161 314 NNS noun
lots | 161 315 NNS noun
money | 161 316 NN noun
money | 162 317 NN noun
deal | 162 318 NN noun
everybody | 162 319 NN noun
country | 163 320 NN noun
money | 163 321 NN noun
money | 163 322 NN noun
country | 163 323 NN noun
tape | 163 324 NN noun
president | 164 325 NN noun
table | 164 326 NN noun
republicans | 166 327 NNS noun
democrats | 166 328 NNPS noun
country | 168 329 NNP noun
lester | 168 330 NNP noun
leadership | 169 331 NN noun
quickly | 169 332 NN noun
cities | 169 333 NNS noun
lots | 169 334 NNS noun
things | 169 335 NN noun
honestly | 171 336 NN noun
secretary | 171 337 NNP noun
clinton | 171 338 NNP noun
nothing | 172 339 NN noun
companies | 172 340 NNS noun
money | 172 341 NN noun
yes | 173 342 NNP noun
name | 175 343 NN noun
name | 176 344 NN noun
much | 177 345 NN noun
family | 178 346 NN noun
clinton | 179 347 NNP noun
lester | 180 348 NNP noun
much | 180 349 NN noun
good | 183 350 NN noun
country | 185 351 NN noun
people | 185 352 NNS noun
secretary | 185 353 NNP noun
clinton | 185 354 NNP noun
decisions | 185 355 NNS noun
terms | 185 356 NNS noun
jobs | 185 357 NNS noun
terms | 185 358 NNS noun
look | 186 359 NN noun
revival | 186 360 NN noun
economy | 186 361 NN noun
great | 186 362 NNP noun
depression | 186 363 NNP noun
bubble | 187 364 NN noun
right | 187 365 NN noun
thing | 188 366 NN noun
good | 188 367 NN noun
stock | 188 368 NN noun
market | 188 369 NN noun
interest | 188 370 NN noun
rates | 188 371 NNS noun
bit | 188 372 NN noun
big | 189 373 NN noun
fat | 189 374 NN noun
fed | 191 375 NNP noun
janet | 192 376 NNP noun
yellen | 192 377 NNP noun
fed | 192 378 NNP noun
fed | 193 379 NNP noun
interest | 193 380 NN noun
rates | 193 381 NNS noun
day | 194 382 NN noun
obama | 194 383 NNP noun
golf | 194 384 NN noun
course | 194 385 NN noun
rest | 194 386 NN noun
life | 194 387 NN noun
golf | 194 388 NN noun
interest | 194 389 NN noun
rates | 194 390 NN noun
things | 194 391 NNS noun
fed | 194 392 NNP noun
fed | 195 393 NNP noun
secretary | 195 394 NNP noun
clinton | 195 395 NNP noun
mind | 196 396 NN noun
it'll | 197 397 NN noun
audit | 198 398 NNS noun
donald | 199 399 NNP noun
trump | 199 400 NNP noun
elections | 199 401 NN noun
statement | 199 402 NN noun
forms | 199 403 NNS noun
income | 200 404 NN noun
income | 200 405 NN noun
today | 200 406 NN noun
income | 200 407 NN noun
year | 200 408 NN noun
years | 201 409 NNS noun
kind | 202 410 NN noun
country | 202 411 NN noun
country | 203 412 NN noun
country | 203 413 NN noun
world | 203 414 NN noun
kind | 203 415 NN noun
country | 203 416 NN noun
needs | 203 417 NN noun
everybody | 203 418 NN noun
lester | 203 419 NNP noun
trade | 203 420 NN noun
deficit | 203 421 NN noun
countries | 203 422 NNS noun
business | 203 423 NN noun
means | 205 424 NN noun
trade | 205 425 NN noun
deals | 205 426 NN noun
people | 206 427 NNS noun
hacks | 206 428 NNS noun
trade | 206 429 NN noun
well | 208 430 NNP noun
look | 209 431 NNP noun
audit | 209 432 NN noun
lot | 210 433 NN noun
people | 210 434 NNS noun
way | 213 435 NN noun
mind | 215 436 NN noun
way | 216 437 NN noun
irs | 217 438 NNP noun
people | 218 439 NNS noun
situation | 220 440 NN noun
country | 220 441 NN noun
care | 220 442 NN noun
tax | 221 443 NN noun
returns | 221 444 NNS noun
lawyer | 221 445 NNS noun
e-mails | 221 446 NNS noun
tax | 223 447 NN noun
lawyers | 224 448 NN noun
fact | 226 449 NN noun
shows | 226 450 NN noun
lawyer | 227 451 NN noun
says | 227 452 NN noun
returns | 227 453 NNS noun
audit | 227 454 NNS noun
audit | 228 455 NNS noun
release | 231 456 NN noun
ok | 237 457 NNP noun
staff | 240 458 NN noun
fifth | 240 459 NNP noun
amendment | 240 460 NNP noun
fifth | 240 461 NNP noun
man | 240 462 NN noun
server | 240 463 NN noun
fifth | 240 464 NNP noun
country | 241 465 NN noun
tax | 242 466 NN noun
returns | 242 467 NN noun
tax | 242 468 NN noun
lot | 244 469 NN noun
look | 245 470 NN noun
thing | 246 471 NNP noun
report | 247 472 NN noun
lot | 247 473 NN noun
friends | 247 474 NNS noun
mine | 247 475 NN noun
business | 247 476 NN noun
say | 247 477 NN noun
boy | 247 478 NN noun
lot | 247 479 NN noun
lot | 248 480 NN noun
money | 248 481 NN noun
buildings | 249 482 NNS noun
question | 249 483 NN noun
report | 249 484 NN noun
actually | 249 485 NN noun
story | 249 486 NN noun
buildings | 249 487 NNS noun
list | 252 488 NN noun
banks | 252 489 NN noun
list | 252 490 NN noun
institutions | 253 491 NN noun
reason | 258 492 NN noun
braggadocios | 258 493 NNS noun
time | 259 494 NN noun
country | 259 495 NN noun
somebody | 259 496 NN noun
idea | 259 497 NN noun
debt | 260 498 NN noun
country | 260 499 NNS noun
mess | 260 500 NN noun
thing | 260 501 NN noun
debt | 260 502 NN noun
roads | 260 503 NNS noun
bridges | 260 504 NNS noun
everything | 260 505 NNS noun
airports | 261 506 NNS noun
world | 261 507 NN noun
laguardia | 262 508 NNP noun
kennedy | 262 509 NNP noun
lax | 262 510 NNP noun
newark | 262 511 NNP noun
dubai | 262 512 NNP noun
qatar | 262 513 NNP noun
china | 262 514 NNP noun
airports | 262 515 NN noun
world | 262 516 NN noun
things | 263 517 NNS noun
trillion | 264 518 NN noun
middle | 266 519 NNP noun
east | 266 520 NNP noun
report | 266 521 NN noun
middle | 267 522 NNP noun
east | 267 523 NNP noun
country | 267 524 NN noun
politicians | 269 525 NNS noun
secretary | 269 526 NNP noun
clinton | 269 527 NNP noun
country | 270 528 NN noun
debtor | 271 529 NN noun
debtor | 272 530 NN noun
country | 273 531 NN noun
roads | 273 532 NN noun
tunnels | 273 533 NN noun
bridges | 273 534 NN noun
airports | 273 535 NN noun
schools | 273 536 NN noun
money | 274 537 NN noun
many | 274 538 NN noun
job | 276 539 NN noun
country | 277 540 NN noun
wrong | 278 541 NNP noun
wrong | 279 542 NNP noun
yeah | 280 543 NN noun
look | 281 544 NN noun
words | 281 545 NN noun
sound | 281 546 NN noun
assets | 283 547 NNS noun
world | 283 548 NN noun
estate | 283 549 NN noun
assets | 283 550 NNS noun
world | 283 551 NN noun
united | 283 552 NNP noun
states | 283 553 NNP noun
europe | 283 554 NNP noun
lots | 283 555 NNS noun
occasion | 285 556 NN noun
times | 285 557 NN noun
laws | 285 558 NNS noun
secretary | 286 559 NNP noun
clinton | 286 560 NNP noun
talks | 286 561 NNS noun
people | 286 562 NNS noun
paid | 286 563 NN noun
lot | 286 564 NN noun
advantage | 286 565 NN noun
laws | 286 566 NNS noun
now | 287 567 NNS noun
laws | 287 568 NN noun
time | 287 569 NN noun
change | 287 570 NN noun
advantage | 288 571 NN noun
laws | 288 572 NNS noun
nation | 288 573 NN noun
obligation | 289 574 NN noun
employees | 289 575 NN noun
tens | 290 576 NNS noun
thousands | 290 577 NNS noun
people | 290 578 NNS noun
love | 290 579 NN noun
pennsylvania | 292 580 NNP noun
avenue | 292 581 NNP noun
right | 292 582 NN noun
white | 292 583 NNP noun
house | 292 584 NNP noun
way | 292 585 NNP noun
pennsylvania | 292 586 NNP noun
avenue | 292 587 NNP noun
old | 293 588 NNP noun
post | 293 589 NNP noun
office | 293 590 NNP noun
budget | 294 591 NN noun
schedule | 294 592 NN noun
year | 295 593 NN noun
country | 296 594 NN noun
roads | 297 595 NNS noun
times | 297 596 NNS noun
products | 298 597 NNS noun
costs | 298 598 NNS noun
people | 298 599 NNS noun
budget | 299 600 NN noun
extent | 299 601 NN noun
people | 299 602 NNS noun
idea | 299 603 NN noun
trump | 300 604 NNP noun
international | 300 605 NNP noun
way | 300 606 NN noun
budget | 300 607 NN noun
way | 300 608 NN noun
secretary | 302 609 NNP noun
clinton | 302 610 NNP noun
couple | 302 611 NN noun
words | 302 612 NN noun
law | 302 613 NN noun
law | 303 614 NN noun
charlotte | 305 615 NNP noun
city | 305 616 NN noun
city | 305 617 NN noun
parts | 305 618 NNS noun
country | 305 619 NN noun
day | 305 620 NN noun
law | 305 621 NN noun
order | 305 622 NN noun
today | 306 623 NN noun
endorsement | 306 624 NN noun
fraternal | 306 625 NNP noun
order | 306 626 NNP noun
police | 306 627 NNP noun
endorsements | 307 628 NNS noun
police | 307 629 NN noun
group | 307 630 NN noun
percentage | 307 631 NN noun
united | 307 632 NNP noun
states | 307 633 NNP noun
situation | 308 634 NN noun
cities | 308 635 NNP noun
african-americans | 308 636 NNP noun
hispanics | 308 637 NNPS noun
street | 309 638 NN noun
chicago | 310 639 NNP noun
thousands | 310 640 NNS noun
shootings | 310 641 NN noun
thousands | 310 642 NNS noun
january | 310 643 NNP noun
thousands | 311 644 NNS noun
saying | 312 645 NN noun
country | 313 646 NN noun
law | 315 647 NN noun
place | 316 648 NN noun
chicago | 316 649 NNP noun
thousands | 316 650 NNS noun
people | 316 651 NNS noun
killed | 316 652 NN noun
thousands | 316 653 NNS noun
number | 316 654 NN noun
years | 316 655 NN noun
fact | 316 656 NN noun
barack | 316 657 NNP noun
obama | 316 658 NNP noun
president | 316 659 NN noun
people | 316 660 NNS noun
chicago | 316 661 NNP noun
law | 317 662 NN noun
now | 318 663 NNS noun
place | 318 664 NN noun
chicago | 318 665 NNP noun
frisk | 318 666 NN noun
well | 318 667 NNP noun
mayor | 318 668 NNP noun
giuliani | 318 669 NNP noun
new | 318 670 NNP noun
york | 318 671 NNP noun
crime | 319 672 NN noun
rate | 319 673 NN noun
way | 319 674 NN noun
gun | 320 675 NN noun
criminals | 320 676 NNS noun
gangs | 321 677 NNS noun
cases | 322 678 NN noun
police | 328 679 NN noun
cases | 328 680 NN noun
cities | 329 681 NN noun
african-american | 329 682 NNP noun
communities | 329 683 NNS noun
crime | 329 684 NN noun
judge | 331 685 NN noun
mayor | 333 686 NN noun
country | 335 687 NN noun
places | 335 688 NNS noun
argument | 336 689 NN noun
guns | 336 690 NNS noun
people | 336 691 NNS noun
people | 336 692 NNS noun
people | 338 693 NNS noun
people | 338 694 NNS noun
shootings | 338 695 NNS noun
chicago | 338 696 NNP noun
january | 338 697 NNP noun
people | 338 698 NNS noun
chicago | 338 699 NNP noun
guns | 338 700 NN noun
beginning | 338 701 NN noun
presidency | 338 702 NN noun
barack | 338 703 NNP noun
obama | 338 704 NNP noun
hometown | 338 705 NN noun
community | 340 706 NN noun
community | 341 707 NN noun
relations | 341 708 NNS noun
chicago | 341 709 NNP noun
property | 343 710 NN noun
chicago | 344 711 NNP noun
chicago | 345 712 NNP noun
ferguson | 345 713 NNP noun
secretary | 347 714 NNP noun
clinton | 347 715 NNP noun
relationships | 348 716 NNS noun
communities | 348 717 NNS noun
police | 348 718 NN noun
cases | 348 719 NN noun
dallas | 349 720 NNP noun
relationships | 349 721 NNS noun
relationships | 349 722 NNS noun
thing | 349 723 NN noun
police | 349 724 NN noun
officers | 349 725 NNS noun
night | 349 726 NN noun
things | 350 727 NNS noun
lester | 352 728 NNP noun
law | 352 729 NN noun
law | 353 730 NN noun
order | 353 731 NN noun
cities | 353 732 NN noun
people | 353 733 NNS noun
african-american | 353 734 NNP noun
politicians | 354 735 NNS noun
ugh | 355 736 NNP noun
first | 357 737 NNP noun
lot | 357 738 NN noun
people | 357 739 NNS noun
party | 357 740 NN noun
rights | 357 741 NNS noun
people | 357 742 NNS noun
watch | 357 743 NN noun
lists | 357 744 NNS noun
fly | 357 745 NN noun
person | 359 746 NN noun
watch | 359 747 NN noun
list | 359 748 NN noun
list | 359 749 NN noun
endorsement | 359 750 NN noun
nra | 359 751 NNP noun
people | 360 752 NN noun
second | 360 753 NNP noun
amendment | 360 754 NNP noun
lists | 361 755 NNS noun
people | 362 756 NNS noun
help | 362 757 NN noun
help | 362 758 NN noun
help | 362 759 NN noun
fact | 364 760 NN noun
words | 364 761 NNS noun
term | 365 762 NN noun
thing | 367 763 NN noun
guns | 368 764 NNS noun
well | 369 765 NNP noun
guns | 369 766 NNS noun
gangs | 369 767 NNS noun
people | 369 768 NNS noun
reason | 371 769 NN noun
new | 371 770 NNP noun
york | 371 771 NNP noun
city | 371 772 NNP noun
murders | 371 773 NN noun
murders | 372 774 NNS noun
lot | 372 775 NN noun
mayor | 375 776 NNP noun
bloomberg | 375 777 NNP noun
frisk | 377 778 NN noun
impact | 377 779 NN noun
safety | 377 780 NN noun
new | 377 781 NNP noun
york | 377 782 NNP noun
city | 377 783 NNP noun
impact | 379 784 NN noun
murders | 383 785 NNS noun
look | 389 786 NNP noun
african-american | 389 787 NNP noun
community | 389 788 NN noun
election | 390 789 NN noun
time | 390 790 NN noun
now | 390 791 NN noun
election | 390 792 NN noun
ya | 390 793 NN noun
later | 390 794 NNP noun
african-american | 391 795 NNP noun
community | 391 796 NN noun
community | 391 797 NN noun
cities | 391 798 NNS noun
order | 392 799 NN noun
votes | 392 800 NNS noun
democrat | 392 801 NNP noun
politicians | 392 802 NN noun
communities | 393 803 NNS noun
cities | 394 804 NNS noun
detroit | 394 805 NNP noun
philadelphia | 394 806 NNP noun
home | 395 807 NN noun
people | 397 808 NNS noun
politicians | 398 809 NNS noun
politicians | 398 810 NNS noun
well | 399 811 NN noun
sidney | 400 812 NNP noun
blumenthal | 400 813 NNP noun
works | 400 814 NNS noun
campaign | 400 815 NN noun
friend | 400 816 NN noun
secretary | 400 817 NNP noun
clinton | 400 818 NNP noun
campaign | 401 819 NN noun
manager | 401 820 NNP noun
patti | 401 821 NNP noun
doyle | 401 822 NNP noun
campaign | 401 823 NN noun
president | 401 824 NNP noun
obama | 401 825 NNP noun
look | 402 826 NN noun
cnn | 403 827 NNP noun
week | 403 828 NNP noun
patti | 403 829 NNP noun
solis | 403 830 NNP noun
doyle | 403 831 NNP noun
wolf | 403 832 NNP noun
blitzer | 403 833 NNP noun
blumenthal | 404 834 NNP noun
mcclatchy | 404 835 NNP noun
reporter | 404 836 NN noun
mcclatchy | 404 837 NNP noun
kenya | 404 838 NNP noun
birth | 406 839 NN noun
involved | 407 840 NN noun
birth | 408 841 NN noun
isis | 411 842 NNP noun
jobs | 411 843 NN noun
border | 411 844 NN noun
things | 411 845 NNS noun
yeah | 412 846 NNP noun
nobody | 413 847 NN noun
nobody | 413 848 NN noun
question | 414 849 NN noun
tonight | 414 850 NN noun
nobody | 415 851 NN noun
birth | 416 852 NN noun
secretary | 418 853 NNP noun
clinton | 418 854 NNP noun
now | 419 855 NN noun
everybody | 419 856 NN noun
mainstream | 419 857 NN noun
oh | 419 858 NN noun
sidney | 421 859 NNP noun
blumenthal | 421 860 NNP noun
reporter | 421 861 NN noun
look | 421 862 NN noun
cnn | 421 863 NNP noun
interview | 421 864 NN noun
campaign | 421 865 NN noun
jobs | 423 866 NN noun
well | 424 867 NNP noun
time | 426 868 NN noun
healing | 429 869 NN noun
relationships | 429 870 NNS noun
african-american | 429 871 NNP noun
job | 432 872 NN noun
service | 432 873 NN noun
country | 432 874 NN noun
president | 432 875 NN noun
birth | 432 876 NN noun
first | 434 877 NNP noun
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