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 > OX3 7DR > > Direct - 01865 759813 > Office - 01865 759800 > Email - col...@ace-centre.org.uk > > The ACE Centre is a registered charity (no 1040868) > > > -----Original Message----- > > From: gnome-accessibility-list-boun...@gnome.org [mailto:gnome- > > accessibility-list-boun...@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 > > > > _______________________________________________ > > gnome-accessibility-list mailing list > > gnome-accessibility-list@gnome.org > > http://mail.gnome.org/mailman/listinfo/gnome-accessibility-list > _______________________________________________ > gnome-accessibility-list mailing list > gnome-accessibility-list@gnome.org > http://mail.gnome.org/mailman/listinfo/gnome-accessibility-list -- David Pellicer Martín dpelli...@warp.es Software Developer at Warp Networks S.L. http://www.warp.es C. 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