Summary of the paper
| Title | Irish Treebanking and Parsing: A Preliminary Evaluation |
|---|---|
| Authors | Teresa Lynn, Ozlem Cetinoglu, Jennifer Foster, Elaine Uí Dhonnchadha, Mark Dras and Josef van Genabith |
| Abstract | 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. |
| Topics | Corpus (creation, annotation, etc.), Grammar and Syntax, Endangered languages |
Full paper  |
Irish Treebanking and Parsing: A Preliminary Evaluation |
| Bibtex | @InProceedings{LYNN12.378, author = {Teresa Lynn and Ozlem Cetinoglu and Jennifer Foster and Elaine Uí Dhonnchadha and Mark Dras and Josef van Genabith}, title = {Irish Treebanking and Parsing: A Preliminary Evaluation}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |