The 4th Celtic Language Technology Workshop
At LREC 2022, Marseille, France on Monday 20 June 2022

*** Call for papers ***

Outline

Language Technology and Computational Linguistics research innovations in recent years have given us a great deal of modern language processing tools and resources for many languages. Basic language tools like spell and grammar checkers through to interactive systems like Siri, as well as resources like the Trillion Word Corpus, all fit together to produce products and services which enhance our daily lives.

Until relatively recently, languages such as Celtic languages, with smaller numbers of speakers, have largely not benefited from attention in this field. However, modern techniques in the field are making it easier to create language tools and resources from fewer resources in a faster time. In this light, many lesser-spoken languages are making their way into the digital age through the provision of language technologies and resources.

The Celtic Language Technology Workshop (CLTW) series of workshops provides a forum for researchers interested in developing natural language processing (NLP) resources and language technologies (LTs) for Celtic languages. As Celtic languages are under-resourced, our goal is to encourage collaboration and communication between researchers working on language technologies and resources for Celtic languages.

Areas of Interest

Our workshop welcomes theoretical and practical submissions on any Celtic language (Irish, Welsh, Scottish Gaelic, Manx, Cornish or Breton) that contributes to research in machine translation, automated language processing, language/speech technologies or resources for the same. We’ve seen from previous CLTWs that there is much scope for sharing best practices and leveraging from learned experiences through working with limited resources in this forum. We will particularly encourage studies that address either practical applications with a human in the loop or the lack of resources available for a given language in this field.

Topics of interest for the CLTW workshop include but are not limited to:

· Celtic Corpus Development/Analysis
· Celtic Digital Humanities
· Celtic Language Resources
· Computer Assisted Language Learning (CALL)
· Cross-lingual Methods
· Evaluation Methods
· Information Extraction
· Lexicons
· Linked Data Resources
· Machine Translation
· NLP/LT for historical Celtic languages
· Ontology-lexica
· Parsing/Chunking
· Semantics
· Speech Processing/Generation
· Supervised and semi-supervised annotation of Celtic-language texts (e.g. POS and morphological tagging)
· Syntax
· Terminology and Knowledge Representation
· Transfer Learning
· Treebanking

Invited Speaker
· Professor Kevin Scannell (Saint Louis University, USA)

Important Dates
· Submission deadline: 8 April 2022
· Notification of acceptance: 3 May 2022
· Camera-ready deadline: 23 May 2022
· Make your submission at: https://www.softconf.com/lrec2022/CLTW2022/

Programme Committee
· Beatrice Alex (University of Edinburgh)
· Colin Batchelor (Royal Society of Chemistry)
· Jeremy Evas (Welsh Government)
· Ann Foret (Université Rennes 1)
· John Judge (ADAPT/ Dublin City University)
· Teresa Lynn (Dublin City University)
· Mark McConville (University of Glasgow)
· John P. McCrae (National University of Ireland, Galway)
· Marieke Meelen (University of Cambridge)
· Ailbhe Ní Chasaide (Trinity College Dublin)
· Neasa Ní Chiaráin (Trinity College Dublin)
· Caoimhín Ó Donnaíle (Sabhal Mòr Ostaig UHI)
· Brian Ó Raghallaigh (Fiontar/ Dublin City University)
· Thierry Poibeau (Laboratoire Lattice, CNRS – École Normale Supérieure, Sorbonne Nouvelle)
· Kevin Scannell (Saint Louis University)
· Francis Tyers (Indiana University Bloomington)
· Elaine Uí Dhonnchadha (Trinity College Dublin)
· Monica Ward (Dublin City University)
· Pauline Welby (Laboratoire Parole et Langage (LPL), CNRS – Aix Marseille Université)
· David Willis (University of Oxford)

Full details on the website and on the submission portal.

With best wishes from the CLTW 2022 organisers,

Dorus Fransen, Will Lamb and Delyth Prys