Abstract
Multiword expressions pose a challenge to the development of large-scale, semantically-rich Natural Language Processing (NLP) systems. We use a bilingual parallel corpus for automatically extracting Light Verb Constructions (LVCs), a very common type of multiword expressions in many languages, including Persian. Using two classifiers, we investigate the usefulness of seven linguistically-informed features for automatically identifying Persian LVCs. To our knowledge, this is the first attempt at the automatic detection of a broad class of Persian LVCs. Results of our experiments show that the proposed features are reasonably successful at the task.
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Salehi, B., Askarian, N., Fazly, A. (2012). Automatic Identification of Persian Light Verb Constructions. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2012. Lecture Notes in Computer Science, vol 7181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28604-9_17
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DOI: https://doi.org/10.1007/978-3-642-28604-9_17
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