[Corpora-List] Deviations in language models on the web

Justin Washtell lec3jrw at leeds.ac.uk
Tue Nov 16 15:47:12 UTC 2010


Such language models exist (just about). The danger is that if these models are then employed to build the spoof documents themselves, one ends up back where one started, arguably worse off - as there seems likely to become an increasingly marginal incremental battle between those using language models to generate language, and those using them to validate it.

Justin Washtell
University of Leeds
________________________________________
From: corpora-bounces at uib.no [corpora-bounces at uib.no] On Behalf Of Oliver Mason [O.Mason at bham.ac.uk]
Sent: 16 November 2010 14:54
To: CORPORA at UIB.NO
Subject: Re: [Corpora-List] Deviations in language models on the web

I believe language models need to take structure beyond the sentence
into account. Then it would be fairly obvious that you're looking at a
list of sentences rather than a text; just as we can already
distinguish between a list of words and a proper sentence.

The problem, then, is how to push language models up one level...

Oliver

On 16 November 2010 12:34, Justin Washtell <lec3jrw at leeds.ac.uk> wrote:
> Hi Serge,
>
> I can think of one or two half-hearted angles of attack, but nothing off the top of my head which couldn't readily be out-foxed by the very next wave of link-spammers. Indeed, any half-decent language models we do develop, are ripe for exploitation directly by the spammers. Given that very fundamental trait of language: its generative capacity, I am inclined to think that the spammers have the upper hand in this one. It's a bit like a war between viruses and anti-virus software, except in a world where a "legitimate" program is largely defined by the fact that it self-replicates and self-obfuscates. My initial suspicion is therefore that this is a genuinely hard - borderline impossible - problem. Mind you, that's exactly what makes it interesting... so I shall give it some more thought :-)
>
> Justin Washtell
> University of Leeds
>
> ________________________________________
> From: corpora-bounces at uib.no [corpora-bounces at uib.no] On Behalf Of Serge Sharoff [s.sharoff at leeds.ac.uk]
> Sent: 16 November 2010 09:12
> To: corpora at uib.no
> Subject: [Corpora-List] Deviations in language models on the web
>
> Dear all,
>
> in doing webcrawls for linguistic purposes, I recently came across an
> approach to link spamming or SEO optimisation that involves taking
> sentences from a large range of texts (mostly out-of-copyright fiction),
> mixing the sentences randomly, injecting the name of a product (or other
> keywords) and creating thousands of webpages.
>
> The intent is probably to fool search engines into thinking these are
> product reviews or descriptions, but the implication for linguistics is
> that we get polluted language models, in which mobile phones collocate
> with horse drawn carriages.
>
> SEO-enhanced pages I came across in the past contained random word lists
> with keywords injected.  It was possible to deal with such cases by
> n-gram filtering.  However, this simple trick doesn't work any longer,
> as the sentences are to a very large extent entirely grammatical.
>
> Any experience from others and suggestions on how to deal with this
> phenomenon.
>
> Best,
> Serge
>
>
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--
Dr Oliver Mason
Technical Director of the Centre for Corpus Research
Head of Postgraduate Studies (Doctoral Research)
School of English, Drama, and ACS
The University of Birmingham
Birmingham B15 2TT

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