Concept

Handwriting recognition

Related publications (430)

Extending the Spectrum of Dysgraphia: A Data Driven Strategy to Estimate Handwriting Quality

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Mateo Chapatte

This paper proposes new ways to assess handwriting, a critical skill in any child’s school journey. Traditionally, a pen and paper test called the BHK test (Concise Evaluation Scale for Children’s Handwriting) is used to assess children’s handwriting in Fr ...

2020

Automated Essay Scoring in Foreign Language Students Based on Deep Contextualised Word Representations

Martin Jaggi, Bojana Rankovic

We introduce a method for automated grading of handwritten essays written by foreign language learners of French. The handwriting recognition system allows digitising the essays for further processing and functions at a low character error rate. The transc ...

2020

COMPARISON OF SUBWORD SEGMENTATION METHODS FOR OPEN-VOCABULARYEND-TO-END SPEECH RECOGNITION

Philip Neil Garner, Claudiu-Cristian Musat

To address the open vocabulary problem in the context of end-to-end automatic speech recognition (ASR), we experiment with subword segmentation approaches, specifically byte-pair encoding and unigram language model. Such approaches are attractive in genera ...

Idiap2020

Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

Sabine Süsstrunk, Majed El Helou, Frederike Dümbgen

In this supplementary material, we present the details of the neural network architecture and training settings used in all our experiments. This holds for all experiments presented in the main paper as well as in this supplementary material. We also show ...

2020

An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition

Oya Aran, Sandrine Tornay

HMMs have been the one of the first models to be applied for sign recognition and have become the baseline models due to their success in modeling sequential and multivariate data. Despite the extensive use of HMMs for sign recognition, determining the HMM ...

ACL2020

Can Tangible Robots Support Children in Learning Handwriting?

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Barbara Bruno, Ayberk Özgür

A large body of research suggests that robots could indeed be useful for supporting children in learning handwriting. However, few studies have investigated the role and use of tangible robots in teaching handwriting to children with attention and/or visuo ...

2020

Analysing density and identifying lane changing behaviour using naturalistic data from a swarm of drones

In recent years, drones have come a long way from their early expensive military implementation to today’s relative accessibility to the wider public. Video stabilization and image recognition have also been very active field of research which influence is ...

2020

Disentangling feature and lazy training in deep neural networks

Matthieu Wyart, Mario Geiger, Stefano Spigler, Arthur Jacot

Two distinct limits for deep learning have been derived as the network width h -> infinity, depending on how the weights of the last layer scale with h. In the neural tangent Kernel (NTK) limit, the dynamics becomes linear in the weights and is described b ...

IOP PUBLISHING LTD2020

OdiEnCorp 2.0: Odia-English Parallel Corpus for Machine Translation

Petr Motlicek

The preparation of parallel corpora is a challenging task, particularly for languages that suffer from under-representation in the digital world. In a multi-lingual country like India, the need for such parallel corpora is stringent for several low-resourc ...

European Language Resources Association (ELRA)2020

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

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.