Grec | EPFL Graph Search

Le grec (en Ελληνικά, romanisation : Elliniká) est une langue hellénique, seule survivante de cette famille. Sous sa forme moderne et démotique (νέα ελληνικά, δημοτική), il a aujourd'hui de locuteurs, principalement en Grèce et à Chypre mais aussi dans les communautés de la diaspora ou minoritaires d'autres pays (Albanie, Turquie, Italie, Bulgarie, Ukraine, Macédoine du Nord, Hongrie, Roumanie, Moldavie, Géorgie). Il existe également une langue grecque liturgique (Ακολουθική Ελληνική), uniquement employée dans certaines grandes cérémonies religieuses commémoratives, notamment par le patriarcat œcuménique de Constantinople. Cette langue utilise généralement, et depuis l'antiquité, l'alphabet grec pour son écriture. Évolution Le grec, dans ses différentes variantes géographiques et historiques, a évolué durant plus de trois millénaires. Au cours de ce temps il a connu au moins quatre grandes phases ou dénominations (phénomène de polyglossie) : le grec ancien, la koinè, le g

Learning (Good Handwriting In Greek) By Teaching (A Humanoid Robot)

Thibault Lucien Christian Asselborn, Wafa Monia Benkaouar Johal, Thanasis Hadzilacos

We report on a follow-up study of the Co-Writer project at EPFL [1]; we confirm their findings, extend the applicability to another language with a different alphabet (Greek) and go into an in-depth qualitative study of the child-robot relationship. The core idea of "learning by teaching" is that the student learns by undertaking to teach what they are supposed to learn which motivates them into ownership of the process. Although a highly effective method [2], there are serious practical obstacles in scaling learning by teaching to larger numbers or extending it to younger learners and to certain skills such as handwriting. This is where we enlist the assistance of a humanoid robot to help a young learner with her handwriting by assuming the role of the cacographer pupil who asks help from its human friend. The robot pretends writing mistakes similar to the child's own; the child recognizes the errors as such even when she would refuse to acknowledge them in her own writing, and makes an extra effort for better writing as the robot's instructor; the robot improves its writing; the child goes through another round of amelioration; and, hopefully, gets in the habit of better writing. In order to extend the original study for the Greek language and alphabet we first needed to collect data from beginner writers, children of 6-9 years. The nine-month study for collecting and evaluating handwriting samples from primary school students in Cyprus in order to examine and describe cacography for the Greek alphabet used a questionnaire, an evaluation sheet for the letter formation and copies of students' notebooks. It involved four primary schools in Limassol, Cyprus and a total of 68 students and 11 teachers. We were thus able to obtain a consensus on what constitutes poor letter writing in Greek. All writing samples were evaluated by teachers and were classified based on Chandra et al. [3] taxonomy. The qualitative research involved three case studies of children who held two sessions each with the humanoid programmable robot NAO. We video recorded the child-robot interactions and assessed their progress in handwriting. In all three cases, albeit not in the same degree, we saw that (a) the child-robot interaction quickly improved; the increasing number of correct remarks from all children in only two meetings shows the comfort that they gained with lab environment and the robot itself and (b) the correctness of children remarks and their comments about letters shows their ability to distinguish the correct from the wrong letters and to justify their answers. Both conclusions confirm the findings of the Co-Writer project [4].

IATED-INT ASSOC TECHNOLOGY EDUCATION & DEVELOPMENT2020

Preisach model identification from higher harmonics

Bertrand Dutoit, Marten Sjöström

The classic Preisach model is used to describe a general hysteretic behaviour, and as most nonlinear systems, its output contains higher harmonics. A Fourier analysis of a specific class of weighting functions for the Preisach model relates some free parameters with the frequency contents of the output. This enables an identification of the parameters from higher harmonics, by which hysteretic losses can be separated from losses in linear elements.

1998

Optical Character Recognition of 19th Century Classical Commentaries: the Current State of Affairs

Sven-Nicolas Yoann Najem, Matteo Romanello

Together with critical editions and translations, commentaries are one of the main genres of publication in literary and textual scholarship, and have a century-long tradition. Yet, the exploitation of thousands of digitized historical commentaries was hitherto hindered by the poor quality of Optical Character Recognition (OCR), especially on commentaries to Greek texts. In this paper, we evaluate the performances of two pipelines suitable for the OCR of historical classical commentaries. Our results show that Kraken + Ciaconna reaches a substantially lower character error rate (CER) than Tesseract/OCR-D on commentary sections with high density of polytonic Greek text (average CER 7% vs. 13%), while Tesseract/OCR-D is slightly more accurate than Kraken + Ciaconna on text sections written predominantly in Latin script (average CER 8.2% vs. 8.4%). As part of this paper, we also release GT4HistComment, a small dataset with OCR ground truth for 19th classical commentaries and Pogretra, a large collection of training data and pre-trained models for a wide variety of ancient Greek typefaces.

ACM Digital Library2021

Learning (Good Handwriting In Greek) By Teaching (A Humanoid Robot)

Thibault Lucien Christian Asselborn, Wafa Monia Benkaouar Johal, Thanasis Hadzilacos

IATED-INT ASSOC TECHNOLOGY EDUCATION & DEVELOPMENT2020