All theories on one graph - amusing.

http://www.jir.com/graph_contest/index.html#OneGraph

This is more amusing... 😛

Candidate for a Pullet Surprise
I have a spelling checker,
It came with my PC.
It plane lee marks four my revue
Miss steaks aye can knot sea.

Eye ran this poem threw it,
Your sure reel glad two no.
Its vary polished in it's weigh.
My checker tolled me sew.

A checker is a bless sing,
It freeze yew lodes of thyme.
It helps me right awl stiles two reed,
And aides me when eye rime.

Each frays come posed up on my screen
Eye trussed too bee a joule.
The checker pours o'er every word To cheque sum spelling rule.

Bee fore a veiling checker's
Hour spelling mite decline,
And if we're lacks oar have a laps,
We wood bee maid too wine.

Butt now bee cause my spelling
Is checked with such grate flare,
Their are know fault's with in my cite,
Of nun eye am a wear.

Now spelling does knot phase me,
It does knot bring a tier.
My pay purrs awl due glad den
With wrapped word's fare as hear.

To rite with care is quite a feet
Of witch won should bee proud,
And wee mussed dew the best wee can,
Sew flaw's are knot aloud.

Sow ewe can sea why aye dew prays
Such soft wear four pea seas,
And why eye brake in two averse
Buy righting want too pleas.


-m. 🙂

Of course a grammar checker would help, but they too are not much better. I notice a lot of newspapers make spelling mistakes that are spell checker corrections gone wrong ie the writer makes a misspelling then picks the wrong correction. The red lines make us too lazy about proof reading.

This brings up the question as to the best way to create a computer that can do it correctly. Do we create a computer with near human like intelligence that learns over time or can we make an algorithm that can figure out what we mean even though it lacks real intelligence.

Translation has similar problems.

Originally posted by twhitehead
Of course a grammar checker would help, but they too are not much better. I notice a lot of newspapers make spelling mistakes that are spell checker corrections gone wrong ie the writer makes a misspelling then picks the wrong correction. The red lines make us too lazy about proof reading.

This brings up the question as to the best way to create a comp ...[text shortened]... re out what we mean even though it lacks real intelligence.

Translation has similar problems.

Could algorithmic computing recognise idiomatic speech, or writing for that matter?

-m.