scholarly journals An iCALL approach to morphophonemic training for Irish using speech technology

2019 ◽  
pp. 314-320
Author(s):  
Neasa Ní Chiaráin ◽  
Ailbhe Ní Chasaide
Keyword(s):  
Language Learning ◽  
Language Processing ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Digital Learning ◽  
Aural Skills ◽  
Speech Technology ◽  
Learning Platforms ◽  
Synthetic Voices ◽  
Intelligent Computer

A key benefit in intelligent Computer Assisted Language Learning (iCALL) is that it allows complex linguistic phenomena to be incorporated into digital learning platforms, either for the autonomous learner or to complement classroom teaching. The present paper describes (1) complex phonological/morphophonemic alternations of Irish, which are problematic for many learners; (2) an iCALL platform, An Scéalaí, which uses speech technology and Natural Language Processing (NLP) prompts to train writing and aural skills – in this paper the target is the morphophonemic alternations of (1); and (3) a perception experiment to guide how the platform might be used for prompt-based self-correction. The perception experiment has been carried out using newly built synthetic voices based on deep neural network technology.

An Environment for Learner Corpus Research and Error Analysis

2014 ◽  
Vol 4 (3) ◽  
pp. 34-51 ◽  
Author(s):  
Larraitz Uria ◽  
Montse Maritxalar ◽  
Igone Zabala
Keyword(s):  
Error Analysis ◽  
Language Learning ◽  
Language Learners ◽  
Language Processing ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Learner Corpus ◽  
Depth Study ◽  
Points Of View ◽  
Intelligent Computer

This article presents an environment developed for Learner Corpus Research and Error Analysis which makes it possible to deal with language errors from different points of view and with several aims. In the field of Intelligent Computer Assisted Language Learning (ICALL), our objective is to gain a better understanding of the language learning process. In the field of Natural Language Processing (NLP), we work on the development of applications that will help both language learners and teachers in their learning/teaching processes. Using this environment, several studies and experiments on error analysis have been carried out, and thanks to an in-depth study on determiner-related errors in Basque, some contributions in the above mentioned fields of research have been made.

scholarly journals Joining the blocks together – an NLP pipeline for CALL development

2019 ◽  
pp. 397-401
Author(s):  
Monica Ward
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Learning ◽  
Computational Linguistics ◽  
Language Processing ◽  
Learning Process ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Tools And Techniques ◽  
Intelligent Computer

Intelligent Computer-Assisted Language Learning (ICALL) involves using tools and techniques from computational linguistics and Natural Language Processing (NLP) in the language learning process. It is an inherently complex endeavour and is multi-, inter-, and trans-disciplinary in nature. Often these tools and techniques are designed for tasks and purposes other than language learning, and this makes their adaptation and use in the CALL domain difficult. It can be even more challenging for Less-Resourced Languages (LRLs) for CALL researchers to adapt or incorporate NLP into CALL artefacts. This paper reports on how two existing NLP resources for Irish, a morphological analyser and a parser, were used to develop an app for Irish. The app, Irish Word Bricks (IWB), was adapted from an existing CALL app – Word Bricks (Mozgovoy & Efimov, 2013). Without this ‘joining the blocks together’ approach, the development of the IWB app would certainly have taken longer, may not have been as efficient or effective, and may not even have been accomplished at all.

scholarly journals Foghlaim ríomhchuidithe teanga-chliste agus teicneolaíocht na hurlabhra: Féidearthachtaí do theagasc/d’fhoghlaim na Gaeilge

2020 ◽  
Vol 27 ◽  
Author(s):  
Neasa Ní Chiaráin
Keyword(s):  
Language Learning ◽  
Speech Synthesis ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Self Directed Learning ◽  
Trinity College Dublin ◽  
Directed Learning ◽  
Text To Speech Synthesis ◽  
Learning Platforms ◽  
Synthetic Voices

Tá an córas sintéiseach téacs-go-hurlabhra, ABAIR (www.abair.ie), á fhorbairt sa tSaotharlann Foghraíochta agus Urlabhra i gColáiste na Tríonóide le roinnt blianta anuas agus tá na guthanna sintéiseacha ar fáil anois sna trí mhórchanúint – Canúint na Mumhan (baineann agus fireann), Canúint Connacht (fireann) agus Canúint Uladh (baineann). Tá obair thaighde ar siúl sa tSaotharlann le blianta beaga anuas chun féachaint ar na feidhmeanna ar féidir a bhaint as na guthanna seo. Tá an páipéar seo dírithe ar an úsáid a d'fhéadfaí a bhaint astu i réimse Fhoghlaim Ríomhchuidithe Teangacha-Chliste (FRT-Chliste) agus go háirithe ar an úsáid a d'fhéadfaí a bhaint astu i bhforbairt ardán a cheadódh don fhoghlaimeoir idirghníomhaíocht phearsanta a dhéanamh leis an ríomhaire, rud a chabhródh le foghlaim fhéinriartha na Gaeilge. Léirítear féidearthachtaí na teicneolaíochtaí seo i gcomhthéacs an ardáin phíolótaigh, An Scéalaí, atá á fhorbairt faoi láthair. Text-to-speech synthesis systems are being developed as part of the ABAIR initiative (www.abair.ie), in the Phonetics and Speech Laboratory in Trinity College Dublin. Synthetic voices are now available in the three major dialects - Munster (female and male), Connacht (male) and Ulster (female). This paper gives an overview of the Irish synthetic voices and focuses on their use in the context of Intelligent Computer-Assisted Language Learning (iCALL) and in particular their use in the development of interactive language learning platforms for the self-directed learning of Irish. The potential of this technology is demonstrated in the context of a new iCALL platform, An Scéalaí (‘the Storyteller’), currently under development.

INTELLIGENT LANGUAGE TUTORS: THEORY SHAPING TECHNOLOGY.V. Melissa Holland, Jonathan D. Kaplan, & Michelle R. Sams (Eds.). Mahwah, NJ: Erlbaum, 1995. Pp. xviii + 384. $79.95 cloth, $39.95 paper.

1998 ◽  
Vol 20 (3) ◽  
pp. 445-446
Author(s):  
Mark Warschauer
Keyword(s):  
Artificial Intelligence ◽  
Second Language Acquisition ◽  
Language Learning ◽  
Learning Environments ◽  
Language Processing ◽  
Language Games ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Second Language Acquisition Theory ◽  
Intelligent Computer

This book presents and discusses efforts to develop Intelligent Computer Assisted Language Learning (ICALL) programs based on advances in artificial intelligence (AI) and natural language processing (NLP). Sixteen of the book's 20 chapters provide descriptions of particular ICALL programs, divided into three categories: text-based language tutors and learning environments, dialogue-based language games, and graphics-based language tutors and learning environments. Four chapters at the end offer general commentary on ICALL from the perspectives of experimental psychology (by Brian MacWhinney), linguistics and AI (by Alan Bailin), second language acquisition theory (by Nina Garret), and educational theory (by Rebecca Oxford).

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