Re: New developments on Caribou

[David Pellicer <dpellicer warp es>]

Thanks to all for your responses!!

Our intention is to make Caribou as flexible as we can, and the
prediction options shall be configurable. 

We have a little video-demo with the work done until now [0], I would
like you too see the video, feedback is welcome.

We didn't publish the code yet because is still buggy. 

Cheers!

David Pellicer

[0] http://is.gd/c72P1


El vie, 07-05-2010 a las 12:10 +0100, David Colven escribió: 
> It's important that the user can set the weighting of prediction
> results, for example frequency and rececy (if that is really a word!),
> and also the order and way words are displayed (frequency, recency,
> alphabetic and word length satisfy different needs), control word length
> minima, n word phrase prediction, abbreviation-expansion, TTS support
> and predict after...n letters.  A phonetic correction (kan=can) is
> useful for some users.
> 
> Are these points being considered?  Am I trying to teach someone to suck
> eggs here?
> 
> Most research seems to indicate that prediction does not speed a
> keyboard user up unless they type at less than 1 character per second.
> There are other reasons for using intelligent prediction of course such
> as language difficulties and effort in text entry.  For switch users
> however the gains are much higher.
> 
> I'll go back to lurking for a bit
> 
> All the best
> 
> David Colven
> AEGIS Project www.aegis-project.eu 
> 
> The ACE Centre Advisory Trust
> 92 Windmill Road
> Headington
> Oxford
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> 
> Direct - 01865 759813
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> 
> > -----Original Message-----
> > From: gnome-accessibility-list-bounces gnome org [mailto:gnome-
> > accessibility-list-bounces gnome org] On Behalf Of Matteo Vescovi
> > Sent: Friday, May 07, 2010 11:44 AM
> > To: Francesco Fumanti
> > Cc: marmuta; gnome-accessibility-list gnome org
> > Subject: Re: New developments on Caribou
> > 
> > Francesco Fumanti wrote:
> > > There is working ongoing to create a word prediction service over
> dbus
> > > for the onscreen keyboard onboard. (onboard is the default onscreen
> > > keyboard shipping with Ubuntu.)
> > > At some point, there was also talk to share it with Caribou. It uses
> > > n-grams language modeling. If you want to have a look at it, you can
> > > find it in the word completion branch of onboard:
> > > https://code.launchpad.net/onboard
> > 
> > I had a look at the onboard word-completion branch, great stuff!
> > 
> > I think there is scope to join forces between presage and onboard.
> > 
> > presage is architected to merge predictions generated by a set of
> > predictors. Each predictor uses a different language model/predictive
> > algorithm to generate predictions.
> > 
> > Currently presage provides the following predictors:
> > ARPA predictor: statistical language modelling data in the ARPA N-gram
> > format
> > generalized smoothed n-gram statistical predictor: generalized
> smoothed
> > n-gram statistical predictor can work with n-gram of arbitrary
> cardinality
> > recency predictor: based on recency promotion principle
> > dictionary predictor: generates a prediction by returning tokens that
> > are a completion of the current prefix in alphabetical order
> > abbreviation expansion predictor: maps the current prefix to a token
> and
> > returns the token in a prediction with a 1.0 probability
> > dejavu predictor: learns and then later reproduces previously seen
> text
> > sequences.
> > 
> > A bit more information on how these predictors work is available here:
> > http://presage.sourceforge.net/?q=node/15
> > 
> > 
> > It sounds like the language model and predictive algorithm used in the
> > onboard word-prediction branch is an ideal candidate to be integrated
> > into presage and become a new presage predictor class.
> > 
> > presage could then be the engine used to power the d-bus prediction
> > service, offering the predictive capabilities of the onboard language
> > model/predictor, plus all the predictors currently provided by presage
> > (all of which can be turned on/off and configured to suit individual
> > needs).
> > 
> > 
> > The presage core library itself has minimal dependencies: it pretty
> much
> > only needs a C++ runtime and sqlite, which is used as the backing
> store
> > for n-gram based language models (this ensure fast access, minimum
> > memory footprint and no delays while loading the language model in
> > memory).
> > 
> > 
> > > For details about the word prediction service, please contact
> marmuta
> > > that did nearly all the work about the word prediction service.
> > 
> > I'll follow up with marmuta to discuss the feasibility of making this
> > happen and work out the technical details, in case there is consensus
> to
> > go ahead with this.
> > 
> > 
> > Cheers,
> > - Matteo
> > 
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-- 

David Pellicer Martín
dpellicer warp es

Software Developer at Warp Networks S.L.
http://www.warp.es
C. Don Jaime I 33, 3ro.dcha. 50003 Zaragoza, Spain
Phone: +34 976 392 644 - Fax: +34 976 290 004