[Corpora-List] For students: "CL in Action"
Koenraad De Smedt
desmedt at uib.no
Thu Nov 4 11:31:40 UTC 2010
Which reminds me that the original Turing test was about guessing the sex of the writer, for which you may need a "discrete state machine" (http://www.abelard.org/turpap/turpap.php#index).
<3 (an ice cream cone with two scoops, fallen sideways)
K
Yorick Wilks wrote the following on 4/11/10 11:47:
> The security agencies have funded quite a bit of stuff on determining the sex of email writers automatically---I believe it works at a very high rate but I dont think they are publishing it (!).
> YW
>
> On 4 Nov 2010, at 10:04, Matthew Purver wrote:
>
>> perhaps the fact that people use it to form the 'love' symbol <3
>>
>> try searching for 3 on twitter's search facility and you see a lot of things like:
>>
>> belieber_smiles @LittleGirlJBieb Thankyou <3
>>
>> http://twitter.com/#search?q=3
>>
>> On 04/11/2010 9:51, Adam Kilgarriff wrote:
>>> Cool!
>>>
>>> So, what is it about 3? (see
>>> http://labs.buradayiz.webfactional.com/gender/query/query?words=1+2+3+4+5+6+7+8+9)
>>> You must have a theory
>>>
>>> adam
>>>
>>> On 4 November 2010 09:23, Amaç Herdağdelen <amac at herdagdelen.com
>>> <mailto:amac at herdagdelen.com>> wrote:
>>>
>>> Hello Erik,
>>>
>>> This is a late reply but you might also be interested in a demo
>>> application that we (Marco Baroni and I) put together to look at the
>>> gender differences in Twitter messages: http://bit.ly/twittergender
>>>
>>> We analyzed millions of tweets collected from the Twitter public
>>> timeline [1] and separated them into male and female subsets by
>>> using the first names of the Twitter users [2]. For example, if the
>>> first name of a user is "John", all of this user's tweets are
>>> categorized as male tweets. On the page, there are two simple tools
>>> that allow us to compare the gendered frequencies of phrases or
>>> compare the salient male and female collocates of a given phrase.
>>>
>>> 1. www.iccs.inf.ed.ac.uk/~osborne/papers/socmed10.pdf
>>> <http://www.iccs.inf.ed.ac.uk/~osborne/papers/socmed10.pdf>
>>> 2. https://github.com/amacinho/Name-Gender-Guesser
>>>
>>> Best,
>>>
>>> Amaç Herdağdelen
>>>
>>>
>>> On Tue, 02 Nov 2010 14:02:51 +0100, Erik Fäßler
>>> <erik.faessler at uni-jena.de <mailto:erik.faessler at uni-jena.de>> wrote:
>>>
>>> Hey all,
>>>
>>> thank you very much for all your rich contributions! I have a lot of
>>> stuff now, I hope the students don't get blown away ;)
>>>
>>> Best regards,
>>>
>>> Erik
>>>
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>>>
>>>
>>> --
>>> ================================================
>>> Adam Kilgarriff http://www.kilgarriff.co.uk
>>> Lexical Computing Ltd http://www.sketchengine.co.uk
>>> Lexicography MasterClass Ltd http://www.lexmasterclass.com
>>> Universities of Leeds and Sussex adam at lexmasterclass.com
>>> <mailto:adam at lexmasterclass.com>
>>> ================================================
>>>
>>>
>>>
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>> --
>> Matthew Purver - http://www.dcs.qmul.ac.uk/~mpurver/
>>
>> Lecturer in Human Interaction
>> Department of Computer Science
>> Queen Mary University of London, London E1 4NS, UK
>>
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>
>
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