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Found 26 papers, 3 papers with code
gaBERT -- an Irish Language Model
We compare our gaBERT model to multilingual BERT and the monolingual Irish WikiBERT, and we show that gaBERT provides better representations for a downstream parsing task.
TwittIrish: A Universal Dependencies Treebank of Tweets in Modern Irish
Modern Irish is a minority language lacking sufficient computational resources for the task of accurate automatic syntactic parsing of user-generated content such as tweets.
Ethical Considerations in NLP Shared Tasks
Shared tasks are increasingly common in our field, and new challenges are suggested at almost every conference and workshop.
Is all that Glitters in Machine Translation Quality Estimation really Gold?
Human-targeted metrics provide a compromise between human evaluation of machine translation, where high inter-annotator agreement is difficult to achieve, and fully automatic metrics, such as BLEU or TER, that lack the validity of human assessment.
Irish Treebanking and Parsing: A Preliminary Evaluation
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.
Ilfhocail: A Lexicon of Irish MWEs
This paper describes the categorisation of Irish MWEs, and the construction of the first version of a lexicon of Irish MWEs for NLP purposes (Ilfhocail, meaning {`}Multiwords{'}), collected from a number of resources.
ELRI: A Decentralised Network of National Relay Stations to Collect, Prepare and Share Language Resources
We describe the European Language Resource Infrastructure (ELRI), a decentralised network to help collect, prepare and share language resources.
Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies
The paper presents a discussion on the main linguistic phenomena of user-generated texts found in web and social media, and proposes a set of annotation guidelines for their treatment within the Universal Dependencies (UD) framework.
Treebanking User-Generated Content: a UD Based Overview of Guidelines, Corpora and Unified Recommendations
This article presents a discussion on the main linguistic phenomena which cause difficulties in the analysis of user-generated texts found on the web and in social media, and proposes a set of annotation guidelines for their treatment within the Universal Dependencies (UD) framework of syntactic analysis.
Towards transparency in NLP shared tasks
This article reports on a survey carried out across the Natural Language Processing (NLP) community.
Annotating Verbal MWEs in Irish for the PARSEME Shared Task 1.2
This paper describes the creation of two Irish corpora (labelled and unlabelled) for verbal MWEs for inclusion in the PARSEME Shared Task 1. 2 on automatic identification of verbal MWEs, and the process of developing verbal MWE categories for Irish.
Annotating MWEs in the Irish UD Treebank
This paper reports on the analysis and annotation of Multiword Expressions in the Irish Universal Dependency Treebank.
A human evaluation of English-Irish statistical and neural machine translation
With official status in both Ireland and the EU, there is a need for high-quality English-Irish (EN-GA) machine translation (MT) systems which are suitable for use in a professional translation environment.
Overview of the ELE Project
This paper provides an overview of the ongoing European Language Equality(ELE) project, an 18-month action funded by the European Commission which involves 52 partners.
gaBERT — an Irish Language Model
We compare our gaBERT model to multilingual BERT and the monolingual Irish WikiBERT, and we show that gaBERT provides better representations for a downstream parsing task.
A BERT’s Eye View: Identification of Irish Multiword Expressions Using Pre-trained Language Models
This paper reports on the investigation of using pre-trained language models for the identification of Irish verbal multiword expressions (vMWEs), comparing the results with the systems submitted for the PARSEME shared task edition 1. 2.
A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models
We conclude by emphasizing the critical role of LLMs in guiding the future evolution of MT and offer a roadmap for future exploration in the sector.
