Dear Nathan,
Thanks for forwarding.
I've tested it briefly and it works great!
And kudos to NYPL for putting this also on GitHub!
I think this is a great application of something I included in my Hourglass
Model: several ways to create descriptive metadata (in this case:
speech-to-text + user generated metadata) are being combined, to cancel out
each other's weak points.
You can check out the full model here:
http://www.slideshare.net/brecht.declercq/canalizing-the-maelstrom-of-metadata-extensions-on-the-hourglass-model
It would be great if NYPL could report about the results they get from this
project, on some conference or one of the journals in the field or so.
Best!
2016-06-10 22:33 GMT+02:00 Nathan Coy <[log in to unmask]>:
> This seems like a pretty neat tool that I just stumbled across. It seems
> like it could be a pretty objective application of crowd sourcing for
> archives that have a lot of spoken content.
>
> http://transcribe.oralhistory.nypl.org/
>
> https://github.com/NYPL/transcript-editor
>
> Nathan
>
--
Brecht Declercq
Manager Digitalisering & Acquisitie
VIAA vzw* | Sassevaartstraat 46/209 | 9000 Gent | Belgiƫ | www.viaa.be
<http://www.viaa.be/>*
T: +32 9 298 05 01 *|* M: +32 474 25 04 67
<https://onderwijs.hetarchief.be/> <https://onderwijs.hetarchief.be/>
<https://onderwijs.hetarchief.be/> <https://onderwijs.hetarchief.be/>
<https://onderwijs.hetarchief.be/> <https://onderwijs.hetarchief.be/>
|