British Slang Tag with Ebbie
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here are the words!!!
Just guess before you actually read the meaning
absobloodylootely: absolutely
after: bars open after normal closing time
all over the gaff: unorganized
arse: butt
arse-over-tit: drunk
ballistic: wild
bangers: sausages
barmy: crazy
behave: more! (Think Austin Powers.)
bob: shilling
blimey!: Oh geez!
bloke: a male
bobby: policeman
brilliant!: great! awesome!
cabbage: a slow person
cack: crap (What a load of cack, mate!)
cakehole: mouth (Shut your cakehole!)
Charlie: crack, cocaine
chips: french fries
chunder: to throw up
ciggy: cigarette
claret: blood (They were copping it up, claret all over the place!)
cop a feel: to feel someone up
to cop it: to get in trouble
copper: policeman
Crikey!: My God!
damage: cost
Dicky: feeling unwell
doddle: something easy (It was a doddle to get the Charlie.)
dodgy: shady
done over: beat up (He was done over by that bloke.)
Doris: a plain woman
dosh: money
duck and dive: to run from the police
earner: a dishonest laborer
eppy: a fit
faced: drunk
five finger discount: shoplifting
flim-flam: crap (Cut out this flim-flam, you wanker!)
flippin: freakin'
folding: paper pound-notes
For crying out loud!: For God's sake!
Frenchy: a french kiss
full monty: the entire take, all that is desired
funny farm: a mental institution
gab: to talk a lot
gander: to look at
geezer: an old man
get the nod: to get permission
git: an unlikeable person
gob: mouth
goppin': gross
greaser: a 50's style person, usually a man
grub: food
gutted: choked up (He was gutted at the funeral, mate.)
hacked off: annoyed (He was really hacked off at that copper.)
having it off: a term for intercourse
headcase: a nutcase
hold it down: keep the noise down, control yourself
hooter: nose
ickle: small, tiny (I like that an ickle bit, mate.)
iffy: doubting, doubtful
in stook: in financial trouble (Your uncle's in stook, mate.)
inside: imprisoned (Barry's inside again.)
jammy: lucky
jar: a pint of beer
jock: a Scottish man
jugs: breasts
juiced up: very drunk
kick it off: start something, a fight with another Brit perhaps
kip: sleep (I need some kip, mate.)
knackered: tired
knock-up: to wake someone up
lairy: loud, brash
larging it: to live large
lip: smart talk
loaded: very rich
lock-in: a term for late-hours in a pub
lolly: money
lost the plot: gone mad (That nutter's completely lost the plot!)
malarkey: stuff and nonsense (What a load of malarkey!)
mate: address for a friend
mental: crazy
miffed: fed up
minger: an unattractive girl
mint: great condition (That's mint, mate.)
mitts: hands
monkey: 500 pounds
moose: an ugly girl
mullered: drunk
munch: food (Time for munch, mate!)
naff: nasty, in poor taste (That's naff!)
nipper: a small child
nosh: food
nugget: a pound coin
nutter: a crazy person
offie: a place where off-license alcohol is sold
off your face: very drunk
out of the tree: nuts
parky: chilly (Parky weather today.)
plank, a fool
ponce: a slacker
ramped: drunk
rat-arsed: drunk
readies: cash on hand (Have any readies? I'm all out.)
ruck: a fight
rug: wig
salt: a loose woman
scrounge: to begg food, materials
shafted: screwed, betrayed
shag: sexual intercourse
shell-like: ear (Can I have a word in your shell-like?)
skirt: a young woman
snog: a french kiss
squire: a term for a working man
sussed out: figured out
tanked: drunk
toerag: a tramp
tom: a prostitute
tooled: drunk
top!: wonderful
trainspotter: a nerd, geek
trots: an upset stomach
up for it: enthusiastically available
up the duff: pregnant
wank: to masturbate
wedge: money
wind up: to tease
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Carpet - Wikipedia, The Free Encyclopedia
Another definition treats rugs as of lower quality or of smaller size, with carpets quite often having finished ends. known in the UK as gripper rods), adhesives, or occasionally decorative metal stair rods, thus distinguishing it from rugs or mats, which are loose-laid floor ...Intelligence in Wikipedia
Google Tech Talks
November 11, 2008
ABSTRACT
Berners-Lee's vision of the Semantic Web is hindered by a chicken-and-egg problem, which can be best solved by a bootstrapping method: creating enough structured data to motivate the development of applications. We believe that autonomously `Semantifying Wikipedia' is the best way to bootstrap. We choose Wikipedia as an initial data source, because it is comprehensive, high-quality, modestly sized, and contains enough manually-derived structure to bootstrap an autonomous, self-supervised process. In this talk I will present our success to date in this endeavor:
A novel approach for self-supervised learning of CRF information extractors
Automatic construction of a comprehensive ontology via statistical-relational learning
Vast improvements in extraction recall through shrinkage over this ontology and retraining
The stimulation of a virtuous feedback cycle between communal content creation and information extraction
We aim to construct a knowledge base of outstanding size to support inference, automatic question answering, faceted browsing, and potentially to bootstrap the Semantic Web.
Speaker: Daniel S. Weld
Daniel S. Weld is Thomas J. Cable / WRF Professor of Computer Science and Engineering at the University of Washington. After formative education at Phillips Academy, he received bachelor's degrees in both Computer Science and Biochemistry at Yale University in 1982. He landed a Ph.D. from the MIT Artificial Intelligence Lab in 1988, received a Presidential Young Investigator's award in 1989, an Office of Naval Research Young Investigator's award in 1990, was named AAAI Fellow in 1999 and deemed ACM Fellow in 2005. Dan is an area editor for the Journal of the ACM, on the editorial board of Artificial Intelligence, was a founding editor and member of the advisory board for the Journal of AI Research, was guest editor for Computational Intelligence and Artificial Intelligence, edited the AAAI report on the Role of Intelligent Systems in the National Information Infrastructure, and was Program Chair for AAAI-96. Dan has published two books and scads of technical papers.
Dan is an active entrepreneur with several patents and technology licenses. In May 1996, he co-founded Netbot Incorporated, creator of Jango Shopping Search and later acquired by Excite. In October 1998, Dan co-founded AdRelevance, a revolutionary monitoring service for internet advertising which was acquired by Media Metrix and subsequently by Nielsen NetRatings. In June 1999, Dan co-founded data integration company Nimble Technology which was acquired by the Actuate Corporation. In January 2001, Dan joined the Madrona Venture Group as a Venture Partner and member of the Technical Advisory Board.
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