Tags : Browse Projects

Select a tag to browse associated projects and drill deeper into the tag cloud.



  Analyzed 3 days ago

Maliit provides a flexible and cross-platform input method framework, including a virtual keyboard. It has a plugin-based client-server architecture where applications act as clients and communicate with the Maliit server via input context plugins. Maliit is an open source framework (LGPL 2) ... [More] with open source plugins (BSD). There are also proprietary plugins. It runs on most GNU/Linux distributions. [Less]

93.1K lines of code

1 current contributors

9 months since last commit

4 users on Open Hub

Very Low Activity
I Use This
Licenses: BSD-3-Clause, LGPL-2.1

Onboard Onscreen Keyboard


  Analyzed about 11 hours ago

An onscreen keyboard useful for tablet PC users and for mobility impaired users.

15K lines of code

0 current contributors

over 6 years since last commit

1 users on Open Hub

I Use This



  No analysis available

Right now this is an experimental project as we investigate supporting development of our projects OverviewThis goal of this software is to allow users with limited mobility to be able to more accurately and quickly input text into a computer. This software is intelligent enough to offer ... [More] suggestions for the user based on context and the characters inputted so far. For implementing the word level prediction, the application reads input text files, that can be all the documents in the users local machine, or all his emails. Any text that can help the application to initiate the word level contextual prediction. The application maintains 3 sorted maps for storing as keys: A unigram map: This map stores individual words in the input text A bigram map: This map stores consecutive words in the input text A trigram map: This map stores 3 consecutive words in the input text. Initially the user enters some input text (a word or two). As the user enters the letters of the words, the application presents him with some predictions. After the user has entered a word or two, the user can call the application to make predictions based on the usage context. The application crawls over the maps to present a set of predictions based on the bigrams and the trigrams that the user has provided as input text. The user can accept or reject the suggestions. In both the cases, the users input is reflected back to all the maps so that the context bases prediction becomes more refined. FeaturesA demonstration of a state of the art word prediction technology which can be applied to other applications in the future Current IssuesSlow startup/initialization time Future PlansCode cleanup Integrate with non-OS specific "on-screen keyboards" Ability to import impure text formats such as .doc and .html GUI for importing files Offer word predictor as a XML-RPC service ReferencesResearch Intelligent Word Prediction Project Disambiguation Research Wordnet: A Lexical Database for the English Language Constructing a Database for Word Prediction (PDF) Software Dasher (Commercial) Dasher (Open Source) ClickNType (Freeware) Word Aid (Commercial) LetMeType (Open Source) [Less]

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

Activity Not Available
I Use This
Mostly written in language not available
Licenses: GPL-2.0+