Text entry for mobile devices

The primary focus of this thesis is the design of Glyph: An efficient and adaptive text entry system for mobile phones. Glyph is a learning system that transparently adapts to the user. The core of the system is a character-based predictor augmented with a small dictionary for added word completion...

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Bibliographic Details
Main Author:	Sanju Sunny
Other Authors:	Yow Kin Choong
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:	https://hdl.handle.net/10356/2440
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-2440
record_format	dspace
spelling	sg-ntu-dr.10356-24402023-03-04T00:43:35Z Text entry for mobile devices Sanju Sunny Yow Kin Choong School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence The primary focus of this thesis is the design of Glyph: An efficient and adaptive text entry system for mobile phones. Glyph is a learning system that transparently adapts to the user. The core of the system is a character-based predictor augmented with a small dictionary for added word completion capabilities. MASTER OF ENGINEERING (SCE) 2008-09-17T09:03:04Z 2008-09-17T09:03:04Z 2005 2005 Thesis Sanju, S. (2005).Text entry for mobile devices. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2440 10.32657/10356/2440 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Sanju Sunny Text entry for mobile devices
description	The primary focus of this thesis is the design of Glyph: An efficient and adaptive text entry system for mobile phones. Glyph is a learning system that transparently adapts to the user. The core of the system is a character-based predictor augmented with a small dictionary for added word completion capabilities.
author2	Yow Kin Choong
author_facet	Yow Kin Choong Sanju Sunny
format	Theses and Dissertations
author	Sanju Sunny
author_sort	Sanju Sunny
title	Text entry for mobile devices
title_short	Text entry for mobile devices
title_full	Text entry for mobile devices
title_fullStr	Text entry for mobile devices
title_full_unstemmed	Text entry for mobile devices
title_sort	text entry for mobile devices
publishDate	2008
url	https://hdl.handle.net/10356/2440
_version_	1759857432267325440

Text entry for mobile devices

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