Concept

Palaeography

Related publications (9)

CoWriting Kazakh: Learning a New Script with a Robot

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Wafa Monia Benkaouar Johal

In the Republic of Kazakhstan, the transition from Cyrillic to Latin alphabet raises challenges to training an entire population in writing the new script. This paper presents a CoWriting Kazakh system, an extension of the existing CoWriter system, aiming ...

Association for Computing Machinery2020

Iterative Design and Evaluation of a Tangible Robot-Assisted Handwriting Activity for Special Education

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Barbara Bruno, Wafa Monia Benkaouar Johal, Ayberk Özgür, Arzu Güneysu Özgür, Elmira Yadollahi

In this article we investigate the role of interactive haptic-enabled tangible robots in supporting the learning of cursive letter writing for children with attention and visuomotor coordination issues. We focus on the two principal aspects of handwriting ...

2020

CoWriting Kazakh: Transitioning to a New Latin Script using Social Robots

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Wafa Monia Benkaouar Johal

In the Republic of Kazakhstan, the transition from Cyrillic towards Latin alphabet raises challenges to teach the whole population in writing the new script. This paper presents a CoWriting Kazakh system that aims to implement an autonomous behavior of a s ...

IEEE2019

Cursive Character Challenge: a New Database for Machine Learning and Pattern Recognition

Alessandro Vinciarelli

Cursive character recognition is a challenging task due to high variability and intrinsic ambiguity of cursive letters. This paper presents \emph{C-Cube} (Cursive Character Challenge), a new public-domain cursive character database. \emph{C-Cube} contains ...

2006

Cursive Character Challenge: a New Database for Machine Learning and Pattern Recognition

Alessandro Vinciarelli

IDIAP2005

Offline Recognition of Large Vocabulary Cursive Handwritten Text

Samy Bengio, Alessandro Vinciarelli

This paper presents a system for the offline recognition of cursive handwritten lines of text. The system is based on continuous density HMMs and Statistical Language Models. The system recognizes data produced by a single writer. No a-priori knowledge is ...

IDIAP2003

Offline Recognition of Large Vocabulary Cursive Handwritten Text

Samy Bengio, Alessandro Vinciarelli

2003

Combining Neural Gas and Learning Vector Quantization for Cursive Character Recognition

Alessandro Vinciarelli

This paper presents a cursive character recognizer, a crucial module in any Cursive Script Recognition system based on a segmentation and recognition approach. The character classification is achieved by combining the use of Neural Gas (NG) and Learning Ve ...

2003

Combining Neural Gas and Learning Vector Quantization for Cursive Character Recognition

Alessandro Vinciarelli

IDIAP2001

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