[Corpora-List] American and British English spelling converter

[Ken Litkowski]

The best reference providing a systematic exploration of differences 
between British and American English (with other varieties thrown it) is 
"Mighty Fine Words and Smashing Expressions: Making Sense of 
Transatlantic English" by Orin Hargraves (2002).  I recommended to 
Graeme Hirst that this be formally reviewed in Computational 
Linguistics.  As he pointed out, and I agree, the book is on the edge of 
CL and one would have to proceed systematically.  The book provides a 
good basis for doing this.

	Ken

Harold Somers wrote:

> It would be a grave mistake to think that the only difference between
> British and American English is a few wayward spellings. There are
> considerable and extensive lexical, grammatical and idiomatic
> differences. The 1st and 3rd of those are more or less well known, but
> the grammatical differences never cease to surprise me. I'd be
> moderately interested to see what other examples corpora listers come up
> with (though no doubt they will also remind me that there are
> significant differences in usage between American dialects, not to
> mention Canadian etc)
> 
> To give just one example of each:
> 
> Lift vs elevator
> Have you got vs do you have
> Half four vs 4:30
> 
> Harold Somers  
> 
> 
>>-----Original Message-----
>>
>>>Martin Krallinger wrote:
>>>
>>>
>>>>Dear all,
>>>>
>>>>I was looking for some simple tool (preferable in Python) which is 
>>>>able to do automatic conversion of texts (or words) from British 
>>>>English (UK) to American (US)  English and vice versa.
>>>>(Example:  realize <-> realise)
>>>>
>>>>This seems to be an easy task, but I could not find any 
>>>>
>>ready to use 
>>
>>>>stand alone tool capable of performing this task.
>>>>
>>>>I want to integrate this application into an Information 
>>>>
>>extraction 
>>
>>>>system which handles scientific literature.
>>>>
>>>>I am also interested in references where aspects related to US/UK 
>>>>English spelling has been analyzed in the context of information 
>>>>extraction, text mining and terminology extraction.
>>>>
>>>>Best regards,
>>>>
>>>>
>>>>Martin
>>>>
>>>>
>>>>
>>>
> 
> 
> 


-- 
Ken Litkowski                     TEL.: 301-482-0237
CL Research                       EMAIL: ken at clres.com
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