{"id":27786,"date":"2026-10-05T12:11:59","date_gmt":"2026-10-05T09:11:59","guid":{"rendered":"https:\/\/cinia.blogs.usj.edu.lb\/?p=27786"},"modified":"2026-10-05T12:24:55","modified_gmt":"2026-10-05T09:24:55","slug":"de-beyrouth-a-geneve-lusj-innove-dans-la-formation-des-interpretes-grace-a-lia","status":"publish","type":"post","link":"https:\/\/cinia.blogs.usj.edu.lb\/en\/2026\/10\/de-beyrouth-a-geneve-lusj-innove-dans-la-formation-des-interpretes-grace-a-lia\/","title":{"rendered":"From Beirut to Geneva: USJ Innovates in Interpreter Training Through AI"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":182,"featured_media":27787,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"saved_in_kubio":false,"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[235,374],"tags":[],"class_list":["post-27786","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-actualites","category-projet-de-recherche"],"mb":[],"acf":{"french_input_post_block1":{"simple_value_formatted":"<p>L\u2019\u00c9cole de traducteurs et d\u2019interpr\u00e8tes de Beyrouth (ETIB) et le Centre de l\u2019innovation num\u00e9rique et de l\u2019intelligence artificielle (CINIA) de l\u2019Universit\u00e9 Saint-Joseph de Beyrouth (USJ) ont pr\u00e9sent\u00e9 \u00e0 Gen\u00e8ve un projet innovant consacr\u00e9 \u00e0 l\u2019int\u00e9gration de l\u2019intelligence artificielle dans la formation des interpr\u00e8tes.<\/p>\n<p>Intitul\u00e9 \u00ab Outil d\u2019auto-entra\u00eenement des apprentis-interpr\u00e8tes assist\u00e9 par l\u2019IA \u00bb, le projet a \u00e9t\u00e9 pr\u00e9sent\u00e9 par la Professeure Lina Sader Feghali, cheffe du D\u00e9partement d\u2019interpr\u00e9tation \u00e0 l\u2019ETIB, et Madame Wadad Wazen Gergy, directrice du CINIA, dans le cadre de la conf\u00e9rence internationale \u00ab 100 Years of Technology in Conference Interpreting (INTTECH100) \u00bb, qui s\u2019est tenue les 1er et 2 octobre 2026 \u00e0 Gen\u00e8ve, \u00e0 l\u2019initiative de la Facult\u00e9 de traduction et d\u2019interpr\u00e9tation (FTI) de l\u2019Universit\u00e9 de Gen\u00e8ve et de l\u2019Organisation internationale du Travail (OIT). La contribution de l\u2019USJ avait \u00e9t\u00e9 retenue \u00e0 l\u2019issue d\u2019un processus d\u2019\u00e9valuation par les pairs.<\/p>\n<p>Cette participation s\u2019inscrit dans une r\u00e9flexion plus large men\u00e9e par l\u2019ETIB autour de l\u2019\u00e9volution de la formation \u00e0 l\u2019interpr\u00e9tation. Face aux transformations induites par l\u2019intelligence artificielle dans les m\u00e9tiers de la traduction et de l\u2019interpr\u00e9tation, l\u2019enjeu n\u2019est pas de substituer la technologie \u00e0 l\u2019expertise humaine, mais de former de futurs professionnels capables de l\u2019utiliser de mani\u00e8re critique, \u00e9thique, cr\u00e9ative et efficace.<\/p>\n<p>Fruit d\u2019une collaboration interdisciplinaire entre l\u2019ETIB, le CINIA et l\u2019\u00c9cole sup\u00e9rieure d\u2019ing\u00e9nieurs de Beyrouth (ESIB), l\u2019ETIB Interpreter Trainer est une plateforme trilingue arabe\u2013fran\u00e7ais\u2013anglais qui int\u00e8gre plusieurs technologies d\u2019intelligence artificielle au sein d\u2019un m\u00eame environnement d\u2019auto-entra\u00eenement.<\/p>\n<p>Le prototype permet notamment de g\u00e9n\u00e9rer des discours selon diff\u00e9rents sujets, niveaux de difficult\u00e9 et param\u00e8tres, de cr\u00e9er des glossaires trilingues et des ressources de pr\u00e9paration, et de s\u2019entra\u00eener \u00e0 diff\u00e9rentes modalit\u00e9s d\u2019interpr\u00e9tation. L\u2019apprenti-interpr\u00e8te \u00e9volue ainsi dans un cycle complet : pr\u00e9parer, interpr\u00e9ter, transcrire, analyser, r\u00e9fl\u00e9chir et se r\u00e9entra\u00eener.<\/p>\n<p>Une attention particuli\u00e8re a \u00e9t\u00e9 accord\u00e9e \u00e0 la langue arabe, encore relativement moins dot\u00e9e en donn\u00e9es de qualit\u00e9 et qui pr\u00e9sente des d\u00e9fis sp\u00e9cifiques pour les technologies de reconnaissance vocale, notamment en mati\u00e8re de transcription, de traitement des nombres et des dates, des accents et du code-switching. Le projet transforme ainsi certaines limites actuelles de l\u2019IA en v\u00e9ritables pistes de recherche et d\u2019innovation, tout en maintenant l\u2019expertise humaine au c\u0153ur du processus p\u00e9dagogique.<\/p>\n<p>Pr\u00e9sent\u00e9e devant une communaut\u00e9 internationale d\u2019interpr\u00e8tes professionnels, de formateurs et de chercheurs, la plateforme a \u00e9t\u00e9 tr\u00e8s favorablement accueillie. Les \u00e9changes suscit\u00e9s par la pr\u00e9sentation ont \u00e9galement ouvert de nouvelles perspectives de recherche et de collaboration internationale.<\/p>\n<p>Des discussions avec le LUTIN Userlab, \u00e0 la Cit\u00e9 des Sciences et de l\u2019Industrie \u00e0 Paris, ont notamment port\u00e9 sur une possible int\u00e9gration de la plateforme CALIPSO. Celle-ci permettrait d\u2019\u00e9tudier de mani\u00e8re synchronis\u00e9e le comportement des interpr\u00e8tes \u00e0 travers diff\u00e9rentes donn\u00e9es oculom\u00e9triques, physiologiques et linguistiques, afin d\u2019explorer des ph\u00e9nom\u00e8nes tels que la charge cognitive, l\u2019attention et la confiance dans les interactions humain\u2013IA en contexte d\u2019interpr\u00e9tation.<br \/>\nDes \u00e9changes avec Lazaros Ouzounoglou, interpr\u00e8te professionnel grec et chercheur ind\u00e9pendant, ont par ailleurs permis d\u2019envisager un travail sur l\u2019affinement des param\u00e8tres de g\u00e9n\u00e9ration de la parole par l\u2019IA \u00e0 des fins didactiques, en tenant compte des difficult\u00e9s propres aux diff\u00e9rentes combinaisons linguistiques et aux diff\u00e9rents modes d\u2019interpr\u00e9tation.<\/p>\n<p>La plateforme a \u00e9galement retenu l\u2019attention Alicja Okoniewska, cheffe du secteur \u00ab D\u00e9veloppement des talents \u00bb \u00e0 la Direction g\u00e9n\u00e9rale de l\u2019interpr\u00e9tation de la Commission europ\u00e9enne (DG Interpretation), qui en a soulign\u00e9 le potentiel et l\u2019int\u00e9r\u00eat d\u2019une diffusion et d\u2019un d\u00e9veloppement plus larges.<\/p>\n<p>Au-del\u00e0 de la pr\u00e9sentation d\u2019un prototype, la participation \u00e0 INTTECH100 a ainsi permis de mettre en lumi\u00e8re le savoir-faire d\u00e9velopp\u00e9 \u00e0 l\u2019USJ \u00e0 la crois\u00e9e de l\u2019interpr\u00e9tation, de la p\u00e9dagogie, de l\u2019ing\u00e9nierie et de l\u2019intelligence artificielle. Elle ouvre d\u00e9sormais la voie \u00e0 de nouvelles collaborations internationales autour d\u2019une m\u00eame ambition : mettre l\u2019IA au service de l\u2019apprentissage, de l\u2019autonomie et du d\u00e9veloppement professionnel des interpr\u00e8tes, tout en maintenant l\u2019expertise humaine au c\u0153ur de leur formation.<\/p>\n","value_formatted":"<p>L\u2019\u00c9cole de traducteurs et d\u2019interpr\u00e8tes de Beyrouth (ETIB) et le Centre de l\u2019innovation num\u00e9rique et de l\u2019intelligence artificielle (CINIA) de l\u2019Universit\u00e9 Saint-Joseph de Beyrouth (USJ) ont pr\u00e9sent\u00e9 \u00e0 Gen\u00e8ve un projet innovant consacr\u00e9 \u00e0 l\u2019int\u00e9gration de l\u2019intelligence artificielle dans la formation des interpr\u00e8tes.<\/p>\r\n<p>Intitul\u00e9 \u00ab Outil d\u2019auto-entra\u00eenement des apprentis-interpr\u00e8tes assist\u00e9 par l\u2019IA \u00bb, le projet a \u00e9t\u00e9 pr\u00e9sent\u00e9 par la Professeure Lina Sader Feghali, cheffe du D\u00e9partement d\u2019interpr\u00e9tation \u00e0 l\u2019ETIB, et Madame Wadad Wazen Gergy, directrice du CINIA, dans le cadre de la conf\u00e9rence internationale \u00ab 100 Years of Technology in Conference Interpreting (INTTECH100) \u00bb, qui s\u2019est tenue les 1er et 2 octobre 2026 \u00e0 Gen\u00e8ve, \u00e0 l\u2019initiative de la Facult\u00e9 de traduction et d\u2019interpr\u00e9tation (FTI) de l\u2019Universit\u00e9 de Gen\u00e8ve et de l\u2019Organisation internationale du Travail (OIT). La contribution de l\u2019USJ avait \u00e9t\u00e9 retenue \u00e0 l\u2019issue d\u2019un processus d\u2019\u00e9valuation par les pairs.<\/p>\r\n<p>Cette participation s\u2019inscrit dans une r\u00e9flexion plus large men\u00e9e par l\u2019ETIB autour de l\u2019\u00e9volution de la formation \u00e0 l\u2019interpr\u00e9tation. Face aux transformations induites par l\u2019intelligence artificielle dans les m\u00e9tiers de la traduction et de l\u2019interpr\u00e9tation, l\u2019enjeu n\u2019est pas de substituer la technologie \u00e0 l\u2019expertise humaine, mais de former de futurs professionnels capables de l\u2019utiliser de mani\u00e8re critique, \u00e9thique, cr\u00e9ative et efficace.<\/p>\r\n<p>Fruit d\u2019une collaboration interdisciplinaire entre l\u2019ETIB, le CINIA et l\u2019\u00c9cole sup\u00e9rieure d\u2019ing\u00e9nieurs de Beyrouth (ESIB), l\u2019ETIB Interpreter Trainer est une plateforme trilingue arabe\u2013fran\u00e7ais\u2013anglais qui int\u00e8gre plusieurs technologies d\u2019intelligence artificielle au sein d\u2019un m\u00eame environnement d\u2019auto-entra\u00eenement.<\/p>\r\n<p>Le prototype permet notamment de g\u00e9n\u00e9rer des discours selon diff\u00e9rents sujets, niveaux de difficult\u00e9 et param\u00e8tres, de cr\u00e9er des glossaires trilingues et des ressources de pr\u00e9paration, et de s\u2019entra\u00eener \u00e0 diff\u00e9rentes modalit\u00e9s d\u2019interpr\u00e9tation. L\u2019apprenti-interpr\u00e8te \u00e9volue ainsi dans un cycle complet : pr\u00e9parer, interpr\u00e9ter, transcrire, analyser, r\u00e9fl\u00e9chir et se r\u00e9entra\u00eener.<\/p>\r\n<p>Une attention particuli\u00e8re a \u00e9t\u00e9 accord\u00e9e \u00e0 la langue arabe, encore relativement moins dot\u00e9e en donn\u00e9es de qualit\u00e9 et qui pr\u00e9sente des d\u00e9fis sp\u00e9cifiques pour les technologies de reconnaissance vocale, notamment en mati\u00e8re de transcription, de traitement des nombres et des dates, des accents et du code-switching. Le projet transforme ainsi certaines limites actuelles de l\u2019IA en v\u00e9ritables pistes de recherche et d\u2019innovation, tout en maintenant l\u2019expertise humaine au c\u0153ur du processus p\u00e9dagogique.<\/p>\r\n<p>Pr\u00e9sent\u00e9e devant une communaut\u00e9 internationale d\u2019interpr\u00e8tes professionnels, de formateurs et de chercheurs, la plateforme a \u00e9t\u00e9 tr\u00e8s favorablement accueillie. Les \u00e9changes suscit\u00e9s par la pr\u00e9sentation ont \u00e9galement ouvert de nouvelles perspectives de recherche et de collaboration internationale.<\/p>\r\n<p>Des discussions avec le LUTIN Userlab, \u00e0 la Cit\u00e9 des Sciences et de l\u2019Industrie \u00e0 Paris, ont notamment port\u00e9 sur une possible int\u00e9gration de la plateforme CALIPSO. Celle-ci permettrait d\u2019\u00e9tudier de mani\u00e8re synchronis\u00e9e le comportement des interpr\u00e8tes \u00e0 travers diff\u00e9rentes donn\u00e9es oculom\u00e9triques, physiologiques et linguistiques, afin d\u2019explorer des ph\u00e9nom\u00e8nes tels que la charge cognitive, l\u2019attention et la confiance dans les interactions humain\u2013IA en contexte d\u2019interpr\u00e9tation.\r\nDes \u00e9changes avec Lazaros Ouzounoglou, interpr\u00e8te professionnel grec et chercheur ind\u00e9pendant, ont par ailleurs permis d\u2019envisager un travail sur l\u2019affinement des param\u00e8tres de g\u00e9n\u00e9ration de la parole par l\u2019IA \u00e0 des fins didactiques, en tenant compte des difficult\u00e9s propres aux diff\u00e9rentes combinaisons linguistiques et aux diff\u00e9rents modes d\u2019interpr\u00e9tation.<\/p>\r\n<p>La plateforme a \u00e9galement retenu l\u2019attention Alicja Okoniewska, cheffe du secteur \u00ab D\u00e9veloppement des talents \u00bb \u00e0 la Direction g\u00e9n\u00e9rale de l\u2019interpr\u00e9tation de la Commission europ\u00e9enne (DG Interpretation), qui en a soulign\u00e9 le potentiel et l\u2019int\u00e9r\u00eat d\u2019une diffusion et d\u2019un d\u00e9veloppement plus larges.<\/p>\r\n<p>Au-del\u00e0 de la pr\u00e9sentation d\u2019un prototype, la participation \u00e0 INTTECH100 a ainsi permis de mettre en lumi\u00e8re le savoir-faire d\u00e9velopp\u00e9 \u00e0 l\u2019USJ \u00e0 la crois\u00e9e de l\u2019interpr\u00e9tation, de la p\u00e9dagogie, de l\u2019ing\u00e9nierie et de l\u2019intelligence artificielle. Elle ouvre d\u00e9sormais la voie \u00e0 de nouvelles collaborations internationales autour d\u2019une m\u00eame ambition : mettre l\u2019IA au service de l\u2019apprentissage, de l\u2019autonomie et du d\u00e9veloppement professionnel des interpr\u00e8tes, tout en maintenant l\u2019expertise humaine au c\u0153ur de leur formation.<\/p>\r\n","value":"<p>L\u2019\u00c9cole de traducteurs et d\u2019interpr\u00e8tes de Beyrouth (ETIB) et le Centre de l\u2019innovation num\u00e9rique et de l\u2019intelligence artificielle (CINIA) de l\u2019Universit\u00e9 Saint-Joseph de Beyrouth (USJ) ont pr\u00e9sent\u00e9 \u00e0 Gen\u00e8ve un projet innovant consacr\u00e9 \u00e0 l\u2019int\u00e9gration de l\u2019intelligence artificielle dans la formation des interpr\u00e8tes.<\/p>\r\n<p>Intitul\u00e9 \u00ab Outil d\u2019auto-entra\u00eenement des apprentis-interpr\u00e8tes assist\u00e9 par l\u2019IA \u00bb, le projet a \u00e9t\u00e9 pr\u00e9sent\u00e9 par la Professeure Lina Sader Feghali, cheffe du D\u00e9partement d\u2019interpr\u00e9tation \u00e0 l\u2019ETIB, et Madame Wadad Wazen Gergy, directrice du CINIA, dans le cadre de la conf\u00e9rence internationale \u00ab 100 Years of Technology in Conference Interpreting (INTTECH100) \u00bb, qui s\u2019est tenue les 1er et 2 octobre 2026 \u00e0 Gen\u00e8ve, \u00e0 l\u2019initiative de la Facult\u00e9 de traduction et d\u2019interpr\u00e9tation (FTI) de l\u2019Universit\u00e9 de Gen\u00e8ve et de l\u2019Organisation internationale du Travail (OIT). La contribution de l\u2019USJ avait \u00e9t\u00e9 retenue \u00e0 l\u2019issue d\u2019un processus d\u2019\u00e9valuation par les pairs.<\/p>\r\n<p>Cette participation s\u2019inscrit dans une r\u00e9flexion plus large men\u00e9e par l\u2019ETIB autour de l\u2019\u00e9volution de la formation \u00e0 l\u2019interpr\u00e9tation. Face aux transformations induites par l\u2019intelligence artificielle dans les m\u00e9tiers de la traduction et de l\u2019interpr\u00e9tation, l\u2019enjeu n\u2019est pas de substituer la technologie \u00e0 l\u2019expertise humaine, mais de former de futurs professionnels capables de l\u2019utiliser de mani\u00e8re critique, \u00e9thique, cr\u00e9ative et efficace.<\/p>\r\n<p>Fruit d\u2019une collaboration interdisciplinaire entre l\u2019ETIB, le CINIA et l\u2019\u00c9cole sup\u00e9rieure d\u2019ing\u00e9nieurs de Beyrouth (ESIB), l\u2019ETIB Interpreter Trainer est une plateforme trilingue arabe\u2013fran\u00e7ais\u2013anglais qui int\u00e8gre plusieurs technologies d\u2019intelligence artificielle au sein d\u2019un m\u00eame environnement d\u2019auto-entra\u00eenement.<\/p>\r\n<p>Le prototype permet notamment de g\u00e9n\u00e9rer des discours selon diff\u00e9rents sujets, niveaux de difficult\u00e9 et param\u00e8tres, de cr\u00e9er des glossaires trilingues et des ressources de pr\u00e9paration, et de s\u2019entra\u00eener \u00e0 diff\u00e9rentes modalit\u00e9s d\u2019interpr\u00e9tation. L\u2019apprenti-interpr\u00e8te \u00e9volue ainsi dans un cycle complet : pr\u00e9parer, interpr\u00e9ter, transcrire, analyser, r\u00e9fl\u00e9chir et se r\u00e9entra\u00eener.<\/p>\r\n<p>Une attention particuli\u00e8re a \u00e9t\u00e9 accord\u00e9e \u00e0 la langue arabe, encore relativement moins dot\u00e9e en donn\u00e9es de qualit\u00e9 et qui pr\u00e9sente des d\u00e9fis sp\u00e9cifiques pour les technologies de reconnaissance vocale, notamment en mati\u00e8re de transcription, de traitement des nombres et des dates, des accents et du code-switching. Le projet transforme ainsi certaines limites actuelles de l\u2019IA en v\u00e9ritables pistes de recherche et d\u2019innovation, tout en maintenant l\u2019expertise humaine au c\u0153ur du processus p\u00e9dagogique.<\/p>\r\n<p>Pr\u00e9sent\u00e9e devant une communaut\u00e9 internationale d\u2019interpr\u00e8tes professionnels, de formateurs et de chercheurs, la plateforme a \u00e9t\u00e9 tr\u00e8s favorablement accueillie. Les \u00e9changes suscit\u00e9s par la pr\u00e9sentation ont \u00e9galement ouvert de nouvelles perspectives de recherche et de collaboration internationale.<\/p>\r\n<p>Des discussions avec le LUTIN Userlab, \u00e0 la Cit\u00e9 des Sciences et de l\u2019Industrie \u00e0 Paris, ont notamment port\u00e9 sur une possible int\u00e9gration de la plateforme CALIPSO. Celle-ci permettrait d\u2019\u00e9tudier de mani\u00e8re synchronis\u00e9e le comportement des interpr\u00e8tes \u00e0 travers diff\u00e9rentes donn\u00e9es oculom\u00e9triques, physiologiques et linguistiques, afin d\u2019explorer des ph\u00e9nom\u00e8nes tels que la charge cognitive, l\u2019attention et la confiance dans les interactions humain\u2013IA en contexte d\u2019interpr\u00e9tation.\r\nDes \u00e9changes avec Lazaros Ouzounoglou, interpr\u00e8te professionnel grec et chercheur ind\u00e9pendant, ont par ailleurs permis d\u2019envisager un travail sur l\u2019affinement des param\u00e8tres de g\u00e9n\u00e9ration de la parole par l\u2019IA \u00e0 des fins didactiques, en tenant compte des difficult\u00e9s propres aux diff\u00e9rentes combinaisons linguistiques et aux diff\u00e9rents modes d\u2019interpr\u00e9tation.<\/p>\r\n<p>La plateforme a \u00e9galement retenu l\u2019attention Alicja Okoniewska, cheffe du secteur \u00ab D\u00e9veloppement des talents \u00bb \u00e0 la Direction g\u00e9n\u00e9rale de l\u2019interpr\u00e9tation de la Commission europ\u00e9enne (DG Interpretation), qui en a soulign\u00e9 le potentiel et l\u2019int\u00e9r\u00eat d\u2019une diffusion et d\u2019un d\u00e9veloppement plus larges.<\/p>\r\n<p>Au-del\u00e0 de la pr\u00e9sentation d\u2019un prototype, la participation \u00e0 INTTECH100 a ainsi permis de mettre en lumi\u00e8re le savoir-faire d\u00e9velopp\u00e9 \u00e0 l\u2019USJ \u00e0 la crois\u00e9e de l\u2019interpr\u00e9tation, de la p\u00e9dagogie, de l\u2019ing\u00e9nierie et de l\u2019intelligence artificielle. Elle ouvre d\u00e9sormais la voie \u00e0 de nouvelles collaborations internationales autour d\u2019une m\u00eame ambition : mettre l\u2019IA au service de l\u2019apprentissage, de l\u2019autonomie et du d\u00e9veloppement professionnel des interpr\u00e8tes, tout en maintenant l\u2019expertise humaine au c\u0153ur de leur formation.<\/p>\r\n","field":{"ID":19738,"key":"field_664c3e682571d","label":"French Input","name":"french_input_post_block1","aria-label":"","prefix":"acf","type":"wysiwyg","value":null,"menu_order":0,"instructions":"","required":0,"id":"","class":"","conditional_logic":0,"parent":18677,"wrapper":{"width":"","class":"roboto-input","id":""},"default_value":"","tabs":"all","toolbar":"full","media_upload":1,"delay":0,"_name":"french_input_post_block1","_valid":1}},"english_input_post_block1":{"simple_value_formatted":"<p>The Beirut School of Translators and Interpreters (ETIB) and the Center for Digital Innovation and Artificial Intelligence (CINIA) at Saint Joseph University of Beirut (USJ) presented an innovative project in Geneva dedicated to integrating artificial intelligence into interpreter training.<\/p>\n<p>Entitled \u201cAI-Assisted Self-Training Tool for Interpreter Trainees,\u201d the project was presented by Professor Lina Sader Feghali, Head of the Interpreting Department at ETIB, and Mrs. Wadad Wazen Gergy, Director of CINIA, during the international conference \u201c100 Years of Technology in Conference Interpreting (INTTECH100),\u201d held on 1\u20132 October 2026 in Geneva and organized by the Faculty of Translation and Interpreting (FTI) at the University of Geneva and the International Labor Organization (ILO). USJ\u2019s contribution had been selected following a peer-review process.<\/p>\n<p>This participation formed part of ETIB\u2019s broader reflection on the evolving landscape of interpreter training. As artificial intelligence continues to transform the translation and interpreting professions, the challenge is not to replace human expertise with technology, but rather to prepare future professionals to use these tools critically, ethically, creatively, and effectively.<\/p>\n<p>Developed through an interdisciplinary collaboration between ETIB, CINIA, and the Beirut School of Engineering (ESIB), the ETIB Interpreter Trainer is a trilingual Arabic\u2013French\u2013English platform integrating several AI technologies within a single self-training environment.<\/p>\n<p>The prototype can generate speeches based on different topics, difficulty levels, and parameters, create trilingual glossaries and preparation resources, and provide practice opportunities across different modes of interpreting. Interpreter trainees can thus work through a complete training cycle: prepare, interpret, transcribe, analyze, reflect, and retrain.<\/p>\n<p>Particular attention was given to Arabic, which remains relatively under-resourced in terms of high-quality data and presents specific challenges for speech recognition technologies, particularly in transcription, the processing of numbers and dates, accents, and code-switching. The project therefore turns some of the current limitations of AI into genuine research questions and opportunities for innovation, while keeping human expertise at the heart of the pedagogical process.<\/p>\n<p>Presented to an international community of professional interpreters, trainers, and researchers, the platform was warmly received. The discussions generated by the presentation also opened up promising opportunities for international research and collaboration.<\/p>\n<p>Discussions with LUTIN Userlab at the City of Science and Industry in Paris explored the possible integration of the CALIPSO platform. This could enable synchronized observation of interpreter behaviour across eye-tracking, physiological, and linguistic channels to investigate phenomena such as cognitive load, attention, and trust in human\u2013AI interaction in interpreting contexts.<\/p>\n<p>Exchanges with Lazaros Ouzounoglou, a Greek professional interpreter and independent researcher, also explored opportunities to refine AI-generated speech parameters for training purposes, taking into account challenges specific to different language pairs and modes of interpreting.<\/p>\n<p>The platform also attracted the attention of Alicja Okoniewska, Head of Sector for Talent Development at the European Commission\u2019s Directorate-General for Interpretation (DG Interpretation), who recognized its potential to be shared and further developed.<\/p>\n<p>Beyond presenting a prototype, USJ\u2019s participation in INTTECH100 highlighted the expertise developed at the intersection of interpreting, pedagogy, engineering, and artificial intelligence. It now opens the way to new international collaborations around a shared ambition: harnessing AI to support learning, learner autonomy, and interpreters\u2019 professional development while keeping human expertise at the heart of interpreter training.<\/p>\n","value_formatted":"<p>The Beirut School of Translators and Interpreters (ETIB) and the Center for Digital Innovation and Artificial Intelligence (CINIA) at Saint Joseph University of Beirut (USJ) presented an innovative project in Geneva dedicated to integrating artificial intelligence into interpreter training.<\/p>\r\n<p>Entitled \u201cAI-Assisted Self-Training Tool for Interpreter Trainees,\u201d the project was presented by Professor Lina Sader Feghali, Head of the Interpreting Department at ETIB, and Mrs. Wadad Wazen Gergy, Director of CINIA, during the international conference \u201c100 Years of Technology in Conference Interpreting (INTTECH100),\u201d held on 1\u20132 October 2026 in Geneva and organized by the Faculty of Translation and Interpreting (FTI) at the University of Geneva and the International Labor Organization (ILO). USJ\u2019s contribution had been selected following a peer-review process.<\/p>\r\n<p>This participation formed part of ETIB\u2019s broader reflection on the evolving landscape of interpreter training. As artificial intelligence continues to transform the translation and interpreting professions, the challenge is not to replace human expertise with technology, but rather to prepare future professionals to use these tools critically, ethically, creatively, and effectively.<\/p>\r\n<p>Developed through an interdisciplinary collaboration between ETIB, CINIA, and the Beirut School of Engineering (ESIB), the ETIB Interpreter Trainer is a trilingual Arabic\u2013French\u2013English platform integrating several AI technologies within a single self-training environment.<\/p>\r\n<p>The prototype can generate speeches based on different topics, difficulty levels, and parameters, create trilingual glossaries and preparation resources, and provide practice opportunities across different modes of interpreting. Interpreter trainees can thus work through a complete training cycle: prepare, interpret, transcribe, analyze, reflect, and retrain.<\/p>\r\n<p>Particular attention was given to Arabic, which remains relatively under-resourced in terms of high-quality data and presents specific challenges for speech recognition technologies, particularly in transcription, the processing of numbers and dates, accents, and code-switching. The project therefore turns some of the current limitations of AI into genuine research questions and opportunities for innovation, while keeping human expertise at the heart of the pedagogical process.<\/p>\r\n<p>Presented to an international community of professional interpreters, trainers, and researchers, the platform was warmly received. The discussions generated by the presentation also opened up promising opportunities for international research and collaboration.<\/p>\r\n<p>Discussions with LUTIN Userlab at the City of Science and Industry in Paris explored the possible integration of the CALIPSO platform. This could enable synchronized observation of interpreter behaviour across eye-tracking, physiological, and linguistic channels to investigate phenomena such as cognitive load, attention, and trust in human\u2013AI interaction in interpreting contexts.<\/p>\r\n<p>Exchanges with Lazaros Ouzounoglou, a Greek professional interpreter and independent researcher, also explored opportunities to refine AI-generated speech parameters for training purposes, taking into account challenges specific to different language pairs and modes of interpreting.<\/p>\r\n<p>The platform also attracted the attention of Alicja Okoniewska, Head of Sector for Talent Development at the European Commission\u2019s Directorate-General for Interpretation (DG Interpretation), who recognized its potential to be shared and further developed.<\/p>\r\n<p>Beyond presenting a prototype, USJ\u2019s participation in INTTECH100 highlighted the expertise developed at the intersection of interpreting, pedagogy, engineering, and artificial intelligence. It now opens the way to new international collaborations around a shared ambition: harnessing AI to support learning, learner autonomy, and interpreters\u2019 professional development while keeping human expertise at the heart of interpreter training.<\/p>\r\n","value":"<p>The Beirut School of Translators and Interpreters (ETIB) and the Center for Digital Innovation and Artificial Intelligence (CINIA) at Saint Joseph University of Beirut (USJ) presented an innovative project in Geneva dedicated to integrating artificial intelligence into interpreter training.<\/p>\r\n<p>Entitled \u201cAI-Assisted Self-Training Tool for Interpreter Trainees,\u201d the project was presented by Professor Lina Sader Feghali, Head of the Interpreting Department at ETIB, and Mrs. Wadad Wazen Gergy, Director of CINIA, during the international conference \u201c100 Years of Technology in Conference Interpreting (INTTECH100),\u201d held on 1\u20132 October 2026 in Geneva and organized by the Faculty of Translation and Interpreting (FTI) at the University of Geneva and the International Labor Organization (ILO). USJ\u2019s contribution had been selected following a peer-review process.<\/p>\r\n<p>This participation formed part of ETIB\u2019s broader reflection on the evolving landscape of interpreter training. As artificial intelligence continues to transform the translation and interpreting professions, the challenge is not to replace human expertise with technology, but rather to prepare future professionals to use these tools critically, ethically, creatively, and effectively.<\/p>\r\n<p>Developed through an interdisciplinary collaboration between ETIB, CINIA, and the Beirut School of Engineering (ESIB), the ETIB Interpreter Trainer is a trilingual Arabic\u2013French\u2013English platform integrating several AI technologies within a single self-training environment.<\/p>\r\n<p>The prototype can generate speeches based on different topics, difficulty levels, and parameters, create trilingual glossaries and preparation resources, and provide practice opportunities across different modes of interpreting. Interpreter trainees can thus work through a complete training cycle: prepare, interpret, transcribe, analyze, reflect, and retrain.<\/p>\r\n<p>Particular attention was given to Arabic, which remains relatively under-resourced in terms of high-quality data and presents specific challenges for speech recognition technologies, particularly in transcription, the processing of numbers and dates, accents, and code-switching. The project therefore turns some of the current limitations of AI into genuine research questions and opportunities for innovation, while keeping human expertise at the heart of the pedagogical process.<\/p>\r\n<p>Presented to an international community of professional interpreters, trainers, and researchers, the platform was warmly received. The discussions generated by the presentation also opened up promising opportunities for international research and collaboration.<\/p>\r\n<p>Discussions with LUTIN Userlab at the City of Science and Industry in Paris explored the possible integration of the CALIPSO platform. This could enable synchronized observation of interpreter behaviour across eye-tracking, physiological, and linguistic channels to investigate phenomena such as cognitive load, attention, and trust in human\u2013AI interaction in interpreting contexts.<\/p>\r\n<p>Exchanges with Lazaros Ouzounoglou, a Greek professional interpreter and independent researcher, also explored opportunities to refine AI-generated speech parameters for training purposes, taking into account challenges specific to different language pairs and modes of interpreting.<\/p>\r\n<p>The platform also attracted the attention of Alicja Okoniewska, Head of Sector for Talent Development at the European Commission\u2019s Directorate-General for Interpretation (DG Interpretation), who recognized its potential to be shared and further developed.<\/p>\r\n<p>Beyond presenting a prototype, USJ\u2019s participation in INTTECH100 highlighted the expertise developed at the intersection of interpreting, pedagogy, engineering, and artificial intelligence. It now opens the way to new international collaborations around a shared ambition: harnessing AI to support learning, learner autonomy, and interpreters\u2019 professional development while keeping human expertise at the heart of interpreter training.<\/p>\r\n","field":{"ID":19739,"key":"field_664c3e7b2571e","label":"English Input","name":"english_input_post_block1","aria-label":"","prefix":"acf","type":"wysiwyg","value":null,"menu_order":1,"instructions":"","required":0,"id":"","class":"","conditional_logic":0,"parent":18677,"wrapper":{"width":"","class":"","id":""},"default_value":"","tabs":"all","toolbar":"full","media_upload":1,"delay":0,"_name":"english_input_post_block1","_valid":1}},"image1_block1":{"simple_value_formatted":"<img width=\"300\" height=\"225\" src=\"https:\/\/cinia.blogs.usj.edu.lb\/files\/2026\/10\/2026.10.05-INTech-Geneve-1-300x225.jpeg\" class=\"attachment-medium size-medium\" alt=\"\" decoding=\"async\" loading=\"lazy\" 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