Re: Resignation

From: James Weinheimer <j.weinheimer_at_nyob>
Date: Fri, 31 Aug 2007 16:11:52 +0200
To: NGC4LIB_at_listserv.nd.edu
> -----Original Message-----
> From: Next generation catalogs for libraries
> [mailto:NGC4LIB_at_listserv.nd.edu] On Behalf Of Conal Tuohy
> Sent: Friday, August 31, 2007 3:02 AM
> To: NGC4LIB_at_listserv.nd.edu
> Subject: Re: [NGC4LIB] Resignation
> I'm assuming you're asking how a machine can decide that a given work
> was authored by one (or none) of the above?
>
> If the full text of the books is available, this is actually quite a
> feasible task which can be done by unsupervised machine-learning
> algorithms. Every author has an authorial "fingerprint" which can be
> recognised by attentive readers, and Bayesian statistical techniques are
> even better at picking up such things. The key data for these algorithms
> are the frequency of use and co-occurrences of particular words,
> sentence-lengths, etc. It in no way requires AI capable of
> "understanding" the subject of the text, in the sense that a human
> reader can. The statistical patterns which these algorithms recognise
> are ones which are generally below the conscious perception of human
> readers (who instead tend to focus on what a text actually means).
>
> This is an area where we should expect computers to out-perform humans,
> frankly.

Then show us. I have read so many things of "should" in my life and maybe
some things seem to make sense, but I haven't seen them work in practice,
yet. (Alchemy made a lot of sense, too!) People talk about the great
"automatic translation" but what I've seen is still a disaster. This was
some time back, but a former professor I had had worked his entire life on
automatic translation, only to declare it impossible at the end. The best
you could do was to create a text for a human to edit. Like he said, if you
need the human to edit it anyway, why go through it in the first place? He
was speaking quite some time back. Automatic translation has come some way,
but it's not there yet. And neither is automatic subject analysis.

We can experiment to our heart's desire, but we cannot draw conclusions
based on ifs maybes and shoulds. We have seen that "Should and maybe" may
come around in 50 or more years--if ever, or it may be next week.

Regards,
Jim

James Weinheimer  j.weinheimer_at_aur.edu
Director of Library and Information Services
The American University of Rome
via Pietro Roselli, 4
00153 Rome, Italy
voice- 011 39 06 58330919 ext. 327
fax-011 39 06 58330992
Received on Fri Aug 31 2007 - 10:11:52 EDT