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arXiv · 1703.08701

Morphological Analysis for the Maltese Language: The Challenges of a Hybrid System

Claudia Borg·Albert Gatt
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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 nonconcatenative 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.

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Claudia Borg, Albert Gatt. 2017-03-25. Morphological Analysis for the Maltese Language: The Challenges of a Hybrid System. https://doi.org/10.18653/v1%2Fw17-1304

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