Elaine Uí Dhonnchadha

Also published as: E. Uí Dhonnchadha, Elaine Uí Dhonnchadha


Faoi Gheasa an adaptive game for Irish language learning
Liang Xu | Elaine Uí Dhonnchadha | Monica Ward
Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages

In this paper, we present a game with a purpose (GWAP) (Von Ahn 2006). The aim of the game is to promote language learning and ‘noticing’ (Skehan, 2013). The game has been designed for Irish, but the framework could be used for other languages. Irish is a minority language which means that L2 learners have limited opportunities for exposure to the language, and additionally, there are also limited (digital) learning resources available. This research incorporates game development, language pedagogy and ICALL language materials development. This paper will focus on the language materials development as this is a bottleneck in the teaching and learning of minority and endangered languages.

How NLP Can Strengthen Digital Game Based Language Learning Resources for Less Resourced Languages
Monica Ward | Liang Xu | Elaine Uí Dhonnchadha
Proceedings of the 9th Workshop on Games and Natural Language Processing within the 13th Language Resources and Evaluation Conference

This paper provides an overview of the Cipher engine which enables the development of a Digital Educational Game (DEG) based on noticing ciphers or patterns in texts. The Cipher engine was used to develop the Cipher: Faoi Gheasa, a digital educational game for Irish, which incorporates NLP resources and is informed by Digital Game-Based Language Learning (DGBLL) and Computer-Assisted Language Learning (CALL) research. The paper outlines six phases where NLP has strengthened the Cipher: Faoi Gheasa game. It shows how the Cipher engine can be used to build a Cipher game for other languages, particularly low-resourced and endangered languages in which NLP resources are under-developed or few in number.

Cipher – Faoi Gheasa: A Game-with-a-Purpose for Irish
Elaine Uí Dhonnchadha | Monica Ward | Liang Xu
Proceedings of the 4th Celtic Language Technology Workshop within LREC2022

This paper describes Cipher – Faoi Gheasa, a ‘game with a purpose’ designed to support the learning of Irish in a fun and enjoyable way. The aim of the game is to promote language ‘noticing’ and to combine the benefits of reading with the enjoyment of computer game playing, in a pedagogically beneficial way. In this paper we discuss pedagogical challenges for Irish, the development of measures for the selection and ranking of reading materials, as well as initial results of game evaluation. Overall user feedback is positive and further testing and development is envisaged.


Irish Treebanking and Parsing: A Preliminary Evaluation
Teresa Lynn | Özlem Çetinoğlu | Jennifer Foster | Elaine Uí Dhonnchadha | Mark Dras | Josef van Genabith
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

Language resources are essential for linguistic research and the development of NLP applications. Low-density languages, such as Irish, therefore lack significant research in this area. This paper describes the early stages in the development of new language resources for Irish ― namely the first Irish dependency treebank and the first Irish statistical dependency parser. We present the methodology behind building our new treebank and the steps we take to leverage upon the few existing resources. We discuss language-specific choices made when defining our dependency labelling scheme, and describe interesting Irish language characteristics such as prepositional attachment, copula, and clefting. We manually develop a small treebank of 300 sentences based on an existing POS-tagged corpus and report an inter-annotator agreement of 0.7902. We train MaltParser to achieve preliminary parsing results for Irish and describe a bootstrapping approach for further stages of development.

Active Learning and the Irish Treebank
Teresa Lynn | Jennifer Foster | Mark Dras | Elaine Uí Dhonnchadha
Proceedings of the Australasian Language Technology Association Workshop 2012


Partial Dependency Parsing for Irish
Elaine Uí Dhonnchadha | Josef Van Genabith
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

We present a partial dependency parser for Irish. Constraint Grammar (CG) based rules are used to annotate dependency relations and grammatical functions. Chunking is performed using a regular-expression grammar which operates on the dependency tagged sentences. As this is the first implementation of a parser for unrestricted Irish text (to our knowledge), there were no guidelines or precedents available. Therefore deciding what constitutes a syntactic unit, and how it should be annotated, accounts for a major part of the early development effort. Currently, all tokens in a sentence are tagged for grammatical function and local dependency. Long-distance dependencies, prepositional attachments or coordination are not handled, resulting in a partial dependency analysis. Evaluations show that the partial dependency analysis achieves an f-score of 93.60% on development data and 94.28% on unseen test data, while the chunker achieves an f-score of 97.20% on development data and 93.50% on unseen test data.


A Part-of-speech tagger for Irish using Finite-State Morphology and Constraint Grammar Disambiguation
E. Uí Dhonnchadha | J. Van Genabith
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

This paper describes the methodology used to develop a part-of-speech tagger for Irish, which is used to annotate a corpus of 30 million words of text with part-of-speech tags and lemmas. The tagger is evaluated using a manually disambiguated test corpus and it currently achieves 95% accuracy on unrestricted text. To our knowledge, this is the first part-of-speech tagger for Irish.


CL for CALL in the Primary School
Katrina Keogh | Thomas Koller | Monica Ward | Elaine Uí Dhonnchadha | Josef van Genabith
Proceedings of the Workshop on eLearning for Computational Linguistics and Computational Linguistics for eLearning


A Two-level Morphological Analyser and Generator for Irish using Finite-State Transducers
Elaine Uí Dhonnchadha
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)