Using LARA to create image-based and phonetically annotated multimodal texts for endangered languages

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.

Relation

Celtic CALL: strengthening the vital role of education for language transmission

no code implementations • CLTW (LREC) 2022 • Neasa Ní Chiaráin, Madeleine Comtois, Oisín Nolan, Neimhin Robinson-Gunning, John Sloan, Harald Berthelsen, Ailbhe Ní Chasaide

Given the key role of education for the transmission of all the Celtic languages, it is vital that digital technologies be harnessed to maximise the effectiveness of language teaching/learning.

Reading Assistance through LARA, the Learning And Reading Assistant

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.

Using the LARA Little Prince to compare human and TTS audio quality

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.