no code implementations • SLPAT (ACL) 2022 • Ailbhe Ni Chasaide, Emily Barnes, Neasa Ní Chiaráin, Ronan McGuirk, Oisín Morrin, Muireann Nic Corcráin, Julia Cummins
The need for skilled researchers with a deep knowledge of Irish structure is illustrated in the case of (ii) and (iii), where aspects of Irish linguistic structure (phonological, morphological and grammatical) and the striking differences from English pose challenges for systems aimed at bilingual Irish-English users.
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 • ComputEL (ACL) 2022 • Neasa Ní Chiaráin, Oisín Nolan, Madeleine Comtois, Neimhin Robinson Gunning, Harald Berthelsen, Ailbhe Ni Chasaide
This paper describes how emerging linguistic resources and technologies can be used to build a language learning platform for Irish, an endangered language.
no code implementations • CLTW (LREC) 2022 • Liam Lonergan, Mengjie Qian, Harald Berthelsen, Andy Murphy, Christoph Wendler, Neasa Ní Chiaráin, Christer Gobl, Ailbhe Ní Chasaide
This paper describes ÉIST, automatic speech recogniser for Irish, developed as part of the ongoing ABAIR initiative, combining (1) acoustic models, (2) pronunciation lexicons and (3) language models into a hybrid system.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
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.
no code implementations • CLTW (LREC) 2022 • Emily Barnes, Oisín Morrin, Ailbhe Ní Chasaide, Julia Cummins, Harald Berthelsen, Andy Murphy, Muireann Nic Corcráin, Claire O’Neill, Christer Gobl, Neasa Ní Chiaráin
This paper describes the prototype development of an Alternative and Augmentative Communication (AAC) system for the Irish language.
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 • 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.
no code implementations • 2 May 2024 • Liam Lonergan, Mengjie Qian, Neasa Ní Chiaráin, Christer Gobl, Ailbhe Ní Chasaide
This setting is then used to train a model with an E-branchformer encoder and the performance of both architectures are compared.
no code implementations • 14 Jul 2023 • Liam Lonergan, Mengjie Qian, Neasa Ní Chiaráin, Christer Gobl, Ailbhe Ní Chasaide
Motivated by this, the present experiments investigate spoken dialect identification of Irish, with a view to incorporating such a system into the speech recognition pipeline.
no code implementations • 14 Jul 2023 • Liam Lonergan, Mengjie Qian, Neasa Ní Chiaráin, Christer Gobl, Ailbhe Ní Chasaide
ASR systems are generally built for the spoken 'standard', and their performance declines for non-standard dialects/varieties.