no code implementations • READI (LREC) 2022 • Elham Akhlaghi, Ingibjörg Iða Auðunardóttir, Branislav Bédi, Hakeem Beedar, Harald Berthelsen, Cathy Chua, Catia Cucchiarini, Brynjarr Eyjólfsson, Nedelina Ivanova, Christèle Maizonniaux, Neasa Ní Chiaráin, Manny Rayner, John Sloan, Sigurður Vigfússon, Ghil’Ad Zuckermann
We present an overview of LARA, the Learning And Reading Assistant, an open source platform for easy creation and use of multimedia annotated texts designed to support the improvement of reading skills.
no code implementations • ComputEL (ACL) 2022 • Branislav Bédi, Hakeem Beedar, Belinda Chiera, Nedelina Ivanova, Christèle Maizonniaux, Neasa Ní Chiaráin, Manny Rayner, John Sloan, Ghil’Ad Zuckermann
We describe recent extensions to the open source Learning And Reading Assistant (LARA) supporting image-based and phonetically annotated texts.
no code implementations • LREC 2022 • Elham Akhlaghi, Ingibjörg Iða Auðunardóttir, Anna Bączkowska, Branislav Bédi, Hakeem Beedar, Harald Berthelsen, Cathy Chua, Catia Cucchiarin, Hanieh Habibi, Ivana Horváthová, Junta Ikeda, Christèle Maizonniaux, Neasa Ní Chiaráin, Chadi Raheb, Manny Rayner, John Sloan, Nikos Tsourakis, Chunlin Yao
Samples of audio totalling about five minutes, representing the same four passages taken from LARA versions of Saint-Exupèry’s “Le petit prince”, were provided for each language in both human and TTS form; the passages were chosen to instantiate the 2x2 cross product of the conditions dialogue, not-dialogue and humour, not-humour.