Question 1

For each of the sentence fragments below use your natural language processing algorithm to predict the next word in the sentence.

When you breathe, I want to be the air for you. I’ll be there for you, I’d live and I’d

☐ sleep

☑ die

☐ eat

☐ give

##   predictor outcome          mle
## 1 and id    give    0.0093360996
## 2 id        give    0.0092236490
## 3 id        die     0.0019229516
## 4 id        eat     0.0011733264
## 5 and id    eat     0.0010373444
## 6 and id    sleep   0.0010373444
## 7 id        sleep   0.0004237012
## 8 id        died    0.0000977772
## 9 id        dying   0.0000325924

Question 2

Guy at my table’s wife got up to go to the bathroom and I asked about dessert and he started telling me about his

☑ marital

☐ spiritual

☐ horticultural

☐ financial

##   predictor outcome                mle
## 1 about his spiritual     5.278438e-04
## 2 about his financial     2.639219e-04
## 3 his       financial     2.258708e-04
## 4 his       spiritual     1.062922e-04
## 5 his       marital       2.325141e-05
## 6 his       spirituality  1.992978e-05
## 7 his       horticultural 3.321630e-06
## 8 his       spiritualism  3.321630e-06
## 9 his       spirituals    3.321630e-06

Question 3

I’d give anything to see arctic monkeys this

☐ month

☑ weekend

☐ decade

☐ morning

##    predictor outcome             mle
## 1  this      morning    2.182639e-02
## 2  this      weekend    1.942068e-02
## 3  this      month      8.878655e-03
## 4  this      months     8.620769e-04
## 5  this      weekends   6.244531e-04
## 6  this      mornings   5.102464e-04
## 7  this      morn       2.007829e-04
## 8  this      decade     1.952567e-04
## 9  this      monthly    2.210454e-05
## 10 this      decades    1.842045e-05
## 11 this      decadent   7.368179e-06
## 12 this      decadence  1.842045e-06
## 13 this      weekending 1.842045e-06

Question 4

Talking to your mom has the same effect as a hug and helps reduce your

☐ happiness

☐ sleepiness

☑ stress

☐ hunger

##   predictor   outcome            mle
## 1 reduce your stress    5.000000e-02
## 2 youre       happy     2.132521e-03
## 3 yours       happy     1.992032e-03
## 4 your        happiness 3.642022e-04
## 5 your        happy     2.979836e-04
## 6 your        stress    1.986558e-04
## 7 youre       stressed  1.523229e-04
## 8 your        hunger    1.324372e-04
## 9 your        sleepy    3.310929e-05

Question 5

When you were in Holland you were like 1 inch away from me but you hadn’t time to take a

☐ walk

☐ look

☑ picture

☐ minute

##    predictor outcome           mle
## 1  take a    look     1.051156e-01
## 2  taking a  picture  3.468208e-02
## 3  take a    picture  3.223546e-02
## 4  taking a  look     2.312139e-02
## 5  taking a  walk     1.734104e-02
## 6  takes a   look     1.731602e-02
## 7  takes a   minute   1.731602e-02
## 8  take a    walk     1.051156e-02
## 9  take a    minute   6.306938e-03
## 10 takes a   picture  4.329004e-03
## 11 a         picture  1.421813e-03
## 12 take a    walking  1.401542e-03
## 13 a         minute   1.358901e-03
## 14 a         look     1.325348e-03
## 15 a         walk     7.339742e-04
## 16 a         walking  1.342124e-04
## 17 a         minutes  2.516483e-05
## 18 a         pictures 8.388277e-06
## 19 a         looking  4.194138e-06
## 20 a         looks    4.194138e-06

Question 6

I’d just like all of these questions answered, a presentation of evidence, and a jury to settle the

☐ account

☑ matter

☐ incident

☐ case

##    predictor   outcome                 mle
## 1  settles the case           5.000000e-01
## 2  settled the case           3.333333e-01
## 3  settle the  case           5.263158e-02
## 4  settle the  matter         5.263158e-02
## 5  the         case           1.876074e-03
## 6  the         matter         3.877919e-04
## 7  the         incident       3.731187e-04
## 8  the         cases          1.173857e-04
## 9  the         account        8.803924e-05
## 10 the         accounting     2.725024e-05
## 11 the         incidents      2.725024e-05
## 12 the         accounts       2.305790e-05
## 13 the         incidence      1.467321e-05
## 14 the         accountability 8.384690e-06
## 15 the         casing         6.288517e-06
## 16 the         accountants    4.192345e-06
## 17 the         accountant     2.096172e-06
## 18 the         matters        2.096172e-06

Question 7

I can’t deal with unsymetrical things. I can’t even hold an uneven number of bags of groceries in each

☐ finger

☑ hand

☐ toe

☐ arm

##   predictor outcome          mle
## 1 in each   hand    9.271523e-03
## 2 in each   arm     1.324503e-03
## 3 each      hand    9.545400e-04
## 4 each      arm     4.971563e-04
## 5 each      finger  9.943125e-05
## 6 each      toe     5.965875e-05
## 7 each      armed   1.988625e-05
## 8 each      handed  1.988625e-05

Question 8

Every inch of you is perfect from the bottom to the

☐ center

☐ middle

☐ side

☑ top

##    predictor outcome           mle
## 1  to the    top      6.771904e-03
## 2  the       top      2.989142e-03
## 3  to the    side     2.148328e-03
## 4  the       middle   1.842536e-03
## 5  to the    center   1.167570e-03
## 6  to the    middle   1.167570e-03
## 7  the       center   8.447575e-04
## 8  to the    centers  7.472445e-04
## 9  the       side     6.435249e-04
## 10 to the    sides    1.868111e-04
## 11 the       sides    1.530206e-04
## 12 the       centers  1.278665e-04
## 13 the       tops     5.659665e-05
## 14 the       topping  1.886555e-05
## 15 the       toppings 1.048086e-05
## 16 the       middles  2.096172e-06
## 17 the       sided    2.096172e-06
## 18 the       siding   2.096172e-06

Question 9

I’m thankful my childhood was filled with imagination and bruises from playing

☐ inside

☑ outside

☐ weekly

☐ daily

##   predictor outcome          mle
## 1 play      outside 0.0023114100
## 2 played    outside 0.0016295492
## 3 playing   outside 0.0014998125
## 4 plays     inside  0.0012484395
## 5 plays     outside 0.0012484395
## 6 played    weekly  0.0005431831
## 7 played    weeks   0.0005431831
## 8 playing   inside  0.0003749531
## 9 play      inside  0.0002101282

Question 10

I like how the same people are in almost all of Adam Sandler’s

☐ pictures

☐ novels

☐ stories

☑ movies

## predictor outcome mle
## (0 rows)