Noisy user-generated text poses problems for natural language processing. In this paper,
we show that this statement also holds true for the Irish language. Irish is regarded as a low …

The BERT family of neural language models have become highly popular due to their ability
to provide sequences of text with rich context-sensitive token encodings which are able to …

We present a study of cross-lingual direct transfer parsing for the Irish language. Firstly we
discuss mapping of the annotation scheme of the Irish Dependency Treebank to a universal …

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 …

An increasing number of papers have been addressing issues related to low-resource
languages and the transcription bottleneck paradigm. After several years spent in Northern …

Despite enjoying the status of an official EU language, Irish is considered a minority
language. As with most minority languages, it is alow-density'language, which means it …

In this thesis, we present the development and evaluation of a suite of annotation tools for
unrestricted Irish text, which go from tokenization, morphological analysis, part-of-speech …

This paper describes an on-going project that seeks to develop the first automatic PoS
tagger for Scottish Gaelic. Adapting the PAROLE tagset for Irish, we manually re-tagged a …

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 …

This paper presents the current lexical, morphological, syntactic and rule-based machine
translation work for Erzya and Moksha that can and should be used in the development of a …