@InProceedings{borg-gatt:2017:W17-13,
  author    = {Borg, Claudia  and  Gatt, Albert},
  title     = {Morphological Analysis for the Maltese Language: The challenges of a hybrid system},
  booktitle = {Proceedings of the Third Arabic Natural Language Processing Workshop},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {25--34},
  abstract  = {Maltese is a morphologically rich language with a hybrid morphological system
	which features both concatenative and non-concatenative processes. This paper
	analyses the impact of this hybridity on the performance of machine learning
	techniques for morphological labelling and clustering. In particular, we
	analyse a dataset of morphologically related word clusters to evaluate the
	difference in results for concatenative and non-concatenative clusters. We also
	describe research carried out in morphological labelling, with a particular
	focus on the verb category. Two evaluations were carried out, one using an
	unseen dataset, and another one using a gold standard dataset which was
	manually labelled. The gold standard dataset was split into concatenative and
	non-concatenative to analyse the difference in results between the two
	morphological systems.},
  url       = {http://www.aclweb.org/anthology/W17-1304}
}