Marieke Meelen


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NLP Pipeline for Annotating (Endangered) Tibetan and Newar Varieties
Christian Faggionato | Nathan Hill | Marieke Meelen
Proceedings of the Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia within the 13th Language Resources and Evaluation Conference

In this paper we present our work-in-progress on a fully-implemented pipeline to create deeply-annotated corpora of a number of historical and contemporary Tibetan and Newar varieties. Our off-the-shelf tools allow researchers to create corpora with five different layers of annotation, ranging from morphosyntactic to information-structural annotation. We build on and optimise existing tools (in line with FAIR principles), as well as develop new ones, and show how they can be adapted to other Tibetan and Newar languages, most notably modern endangered languages that are both extremely low-resourced and under-researched.

Towards Coreference Resolution for Early Irish
Mark Darling | Marieke Meelen | David Willis
Proceedings of the 4th Celtic Language Technology Workshop within LREC2022

In this article, we present an outline of some of the issues involved in developing a semi-supervised procedure for coreference resolution for early Irish as part of a wider enterprise to create a parsed corpus of historical Irish with enriched annotation for information structure and anaphoric coreference. We outline the ways in which existing resources, notably the POMIC historical Irish corpus and the Cesax annotation algorithm, have had to be adapted, the first to provide suitable input for coreference resolution, the second to cope with specific aspects of early Irish grammar. We also outline features of a part-of-speech tagger that we have developed for early Irish as part of the first task and with a view to expanding the size of the future corpus.


Meta-dating the PArsed Corpus of Tibetan (PACTib)
Marieke Meelen | Élie Roux
Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories


Developing the Old Tibetan Treebank
Christian Faggionato | Marieke Meelen
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)

This paper presents a full procedure for the development of a segmented, POS-tagged and chunkparsed corpus of Old Tibetan. As an extremely low-resource language, Old Tibetan poses non-trivial problems in every step towards the development of a searchable treebank. We demonstrate, however, that a carefully developed, semisupervised method of optimising and extending existing tools for Classical Tibetan, as well as creating specific ones for Old Tibetan can address these issues. We thus also present the first very Tibetan Treebank in a variety of formats to facilitate research in the fields of NLP, historical linguistics and Tibetan Studies.