TWG CLXX Anything but Nekopara Game Thread

[DaBackpack]

this is my new favorite form of shitposting

[DaBackpack]

thank you StanfordNLP

[Charu]

Stop being a nerd, nerd.

[DaBackpack]

Originally Posted by Charu

Stop being a nerd, nerd.

Tagging

Stop/VB being/VBG a/DT nerd/NN ,/, nerd/NN ./.

Parse

(ROOT
(S
(VP (VB Stop)
(S
(VP (VBG being)
(NP
(NP (DT a) (NN nerd))
(, ,)
(NP (NN nerd))))))
(. .)))

Universal dependencies

root(ROOT-0, Stop-1)
cop(nerd-4, being-2)
det(nerd-4, a-3)
xcomp(Stop-1, nerd-4)
appos(nerd-4, nerd-6)

Universal dependencies, enhanced

root(ROOT-0, Stop-1)
cop(nerd-4, being-2)
det(nerd-4, a-3)
xcomp(Stop-1, nerd-4)
appos(nerd-4, nerd-6)

Statistics

Tokens: 7
Time: 0.014 s
Parser: englishPCFG.ser.gz

[xXOpkillerXx]

More like an attempt at comp.sci. showoff but I'll admit it's good looking shitpost

[DaBackpack]

Originally Posted by xXOpkillerXx

More like an attempt at comp.sci. showoff but I'll admit it's good looking shitpost

I tried to reply to this post by posting the entire FFR homepage source code in a spoiler but Chrome blocked it so consider yourself lucky

[xXOpkillerXx]

Originally Posted by DaBackpack

I tried to reply to this post by posting the entire FFR homepage source code in a spoiler but Chrome blocked it so consider yourself lucky

eh ?

[DaBackpack]

Originally Posted by xXOpkillerXx

eh ?

Tagging

eh/UH ?/.

Parse

(ROOT
(INTJ (UH eh) (. ?)))

Universal dependencies

root(ROOT-0, eh-1)

Universal dependencies, enhanced

root(ROOT-0, eh-1)

Statistics

Tokens: 2
Time: 0.003 s
Parser: englishPCFG.ser.gz

[xXOpkillerXx]

tbh I'd find it cool if you actually posted some sort of bs analysis of the parsed groups (or like I said, some semantics) instead of just big ass noisy posts. Not that it bothers me at all, it's just visually unappealing lol

[Wayward Vagabond]

Ya'll nerds

[DaBackpack]

Originally Posted by xXOpkillerXx

tbh I'd find it cool if you actually posted some sort of bs analysis of the parsed groups (or like I said, some semantics) instead of just big ass noisy posts. Not that it bothers me at all, it's just visually unappealing lol

Word2Vec says:

[ 2.27859497 -0.71339798 0.92053223 5.96691895 -3.52772427 0.68728256
0.75048828 -1.17837524 2.5763073 3.52890778 -2.25310516 -6.10290527
-0.99536133 -0.92495728 -3.72149658 3.81558228 1.58731079 2.59429932
-0.35663605 -3.76847839 -0.67493248 2.34533691 1.84100342 -0.94748688
0.78391838 -0.96173096 -3.04614258 1.22634888 0.51042938 0.28979492
-1.60559082 2.38400269 -0.26171875 -0.05599976 -0.26660156 -0.24034119
0.95140839 1.09858322 1.98721313 4.1496582 4.4812088 -2.31109619
6.03060913 -0.26338196 -0.64299774 0.79493713 -1.09573364 0.20207596
1.27627563 0.32282257 -1.55690002 1.66563034 -1.2407074 0.04650879
1.1416626 2.89996338 0.17131042 -2.59300232 2.55122375 -2.91143799
-0.06625366 2.46025848 -3.74536133 -2.75509262 -1.66918945 -2.35206604
-2.43621826 3.07936096 -2.02682495 1.42915344 3.03679371 2.76174259
3.13409424 -0.87133789 -6.33268738 -1.54063416 2.36140442 3.76182556
1.07168579 4.34187317 -0.8793335 -1.34275436 0.42596436 -0.48330688
-3.13461304 -2.27883911 -0.41577148 6.20530701 0.67382812 -0.29693604
-0.1578598 2.12439728 -2.92601013 -1.38900757 -3.0111084 -0.84314728
2.44604492 1.93057251 -0.68100739 -0.17325592 -2.53697395 -0.72600174
1.12445068 0.45196533 -0.89810181 0.18968964 -0.93765831 -0.45697021
1.61235046 -5.15631104 -3.17687988 -1.11096191 0.90381002 -0.46722412
4.01031494 -1.09935379 1.0472641 -1.00238037 3.72140503 0.47851562
-3.64698792 -0.38544464 -3.02960205 0.97607422 0.05065918 -0.82360077
-2.34423828 0.27462769 0.56088257 -1.70269775 -4.81504822 -3.65851593
-0.43993187 0.99981689 -0.39266968 -1.48544312 0.11807251 0.21087646
-0.77529144 1.87432861 4.09106445 -3.08581543 1.0320282 -0.94580078
1.65155029 -0.74310303 -2.32470703 -3.54266357 -1.29858398 -0.14241028
2.51126099 1.57699585 -4.71394348 0.64627075 -2.15959167 -0.19142151
-1.24687195 -1.29039097 -4.74984741 0.78887939 -0.25648499 2.23199463
-0.58111572 2.56365967 0.66143799 -4.56018066 1.58395004 -0.48919678
-0.27355957 1.28588867 -4.31674194 -0.7154541 -0.35998535 -0.53105164
-1.48396301 1.07286072 2.99865723 -4.40737915 -0.21459961 0.15033722
-1.61721802 -2.98510742 0.64154053 2.45837402 -0.5218811 1.2938385
-3.059021 0.29669189 0.84707642 -0.35003662 1.39538574 0.08808899
1.17126465 -1.05987549 -0.25094604 2.01922607 -2.36541748 -0.97085571
-2.39804077 -2.18815613 -0.30630493 2.38392067 -3.62576389 0.33699799
0.76296234 0.11904907 -2.68600464 -1.03231812 -1.07617188 1.08172607
0.00744629 2.39025879 -2.68682861 1.6937561 -5.14443207 0.15266418
3.42765808 0.68166351 -3.36296272 -0.78863525 -2.54958344 1.41921997
-0.6477356 -0.72558594 2.88925171 -1.62435913 2.01747131 1.21516418
-1.8062439 0.03546143 0.86708069 -0.81988525 0.65123367 -0.2968626
3.15018463 0.78051758 0.46951294 -0.56103516 4.22949219 1.16131592
3.21676636 1.97564697 0.30528259 -3.6053772 -1.43080139 0.94567871
1.07124329 4.49954224 -2.60927963 -1.55168152 -0.34066772 0.72729492
1.48352051 2.35151958 3.54905701 -2.55452728 0.82440186 0.39084291
-1.41789246 -3.33929443 0.14810181 -1.46398926 -2.20349121 -0.331604
-1.04403687 2.70648193 -1.29632568 -2.13235474 -1.74702454 0.15219116
0.66656494 4.05792236 6.20800781 2.69500732 1.27441406 -2.87249756
-2.23905945 -4.03375244 -1.84039307 1.74267578 0.58752441 -0.9756546
0.81420898 2.23016357 0.09753418 0.02009583 -2.44352722 -3.04370117
0.22808838 0.87173462 -2.12470627 3.33862305 -3.08937073 1.64196777
-2.57858276 -1.19848633 1.02944946 -2.30444336 -0.67930603 0.49084473]

[DaBackpack]

using the GoogleNews corpus

[xXOpkillerXx]

make sense of the results you get and we could start a true shitpost discussion.

for now, I'm gonna go sleep.

good night

[DaBackpack]

Originally Posted by xXOpkillerXx

tbh I'd find it cool if you actually posted some sort of bs analysis of the parsed groups (or like I said, some semantics) instead of just big ass noisy posts. Not that it bothers me at all, it's just visually unappealing lol

I use two approaches to semantically parse the above content. Interestingly, they produced the same exact results, which shouldn't be possible, so I probably fucked up somewhere but I don't care.


>>> model.most_similar([answer])
[(u'anyway', 0.7528980374336243),
(u'RUSH_Yeah', 0.7373554706573486),
(u'just', 0.7372869253158569),
(u'pioneer_LaLanne', 0.727194607257843),
(u'maybe', 0.7266185283660889),
(u'hey', 0.7262347936630249),
(u'actually', 0.7258591055870056),
(u'ROBERT_BLAGOJEVICH', 0.7208588123321533),
(u'yeah', 0.7080826163291931),
(u'ANDY_RODDICK_Yeah', 0.7079609632492065)]

Your entire post translates to the word "anyway" with 75% confidence.

[DaBackpack]

Let it be known that I fucking SSH'd into my work computer to offload the computing for the above shitpost. On a Sunday.

[DaBackpack]

To be clear, the post I used was the one from OPKiller "tbh[...]"

[Celirra]

fuck me

I kinda forgot about this, sorry

I'll try to chime in a bit during my breaks tomorrow, but after work and such (around 7est) I'll try to get a big ol thoughtful chain of posterin' in ya hear me here ya dears

if you want anything specific for me to comment on, lemme know and I'll answer anything except my favourite ice cream flavour because that's obviously vanilla, unless cookie dough is an option and then it's a toss up

[Celirra]

from the little I have glanced though I approve of the shitposting thx for making up for my lack of postshitting

[DaBackpack]

The word "anyway" matches with "wolf" with 12% confidence.

[Celirra]

Originally Posted by DaBackpack

The word "anyway" matches with "wolf" with 12% confidence.

wow thats more confidence than I have in my future