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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 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.</abstract>
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%0 Conference Proceedings
%T Morphological Analysis for the Maltese Language: The challenges of a hybrid system
%A Borg, Claudia
%A Gatt, Albert
%Y Habash, Nizar
%Y Diab, Mona
%Y Darwish, Kareem
%Y El-Hajj, Wassim
%Y Al-Khalifa, Hend
%Y Bouamor, Houda
%Y Tomeh, Nadi
%Y El-Haj, Mahmoud
%Y Zaghouani, Wajdi
%S Proceedings of the Third Arabic Natural Language Processing Workshop
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F borg-gatt-2017-morphological
%X 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.
%R 10.18653/v1/W17-1304
%U https://aclanthology.org/W17-1304
%U https://doi.org/10.18653/v1/W17-1304
%P 25-34

Markdown (Informal)

[Morphological Analysis for the Maltese Language: The challenges of a hybrid system](https://aclanthology.org/W17-1304) (Borg & Gatt, WANLP 2017)

• Morphological Analysis for the Maltese Language: The challenges of a hybrid system (Borg & Gatt, WANLP 2017)

ACL

• Claudia Borg and Albert Gatt. 2017. Morphological Analysis for the Maltese Language: The challenges of a hybrid system. In Proceedings of the Third Arabic Natural Language Processing Workshop, pages 25–34, Valencia, Spain. Association for Computational Linguistics.