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IAJIT
2007
104views more  IAJIT 2007»
14 years 11 days ago
A Learning-Classification Based Approach for Word Prediction
: Word prediction is an important NLP problem in which we want to predict the correct word in a given context. Word completion utilities, predictive text entry systems, writing aid...
Hisham Al-Mubaid
ANLP
2000
109views more  ANLP 2000»
14 years 1 months ago
A Classification Approach to Word Prediction
The eventual goal of a language model is to accurately predict the value of a missing word given its context. We present an approach to word prediction that is based on learning a...
Yair Even-Zohar, Dan Roth
ACL
2008
14 years 1 months ago
Evaluating Word Prediction: Framing Keystroke Savings
Researchers typically evaluate word prediction using keystroke savings, however, this measure is not straightforward. We present several complications in computing keystroke savin...
Keith Trnka, Kathleen F. McCoy
ASSETS
2007
ACM
14 years 4 months ago
SIBYLLE: a system for alternative communication adapting to the context and its user
In this paper, we describe the latest version of SIBYLLE, an AAC system that permits persons suffering from severe physical disabilities to enter text with any computer applicatio...
Tonio Wandmacher, Jean-Yves Antoine, Franck Poirie...
ASSETS
2007
ACM
14 years 4 months ago
Corpus studies in word prediction
Word prediction can be used to enhance the communication rate of people with disabilities who use Augmentative and Alternative Communication (AAC) devices. We use statistical meth...
Keith Trnka, Kathleen F. McCoy
IUI
2006
ACM
14 years 6 months ago
Topic modeling in fringe word prediction for AAC
Word prediction can be used for enhancing the communication ability of persons with speech and language impairments. In this work, we explore two methods of adapting a language mo...
Keith Trnka, Debra Yarrington, Kathleen F. McCoy, ...
TSD
2007
Springer
14 years 6 months ago
An Adaptive Keyboard with Personalized Language-Based Features
Our research is about an adaptive keyboard, which autonomously adjusts its predictive features and key displays to current user input. We used personalized word prediction to impro...
Siska Fitrianie, Léon J. M. Rothkrantz
ICCV
2009
IEEE
15 years 5 months ago
Unlabeled data improves word prediction
Labeling image collections is a tedious task, especially when multiple labels have to be chosen for each image. In this paper we introduce a new framework that extends state of ...
Nicolas Loeff, Ali Farhadi, Ian Endres and David A...