Abstract
The acquisition of knowledge about word characteristics is a basic requirement for developing natural language processing applications of a particular language. In this paper, we present a detailed analysis for the morphology of Urdu verbs. During our analysis, we have observed that Urdu verbs can have 47 different types of inflections. The different inflected forms of 975 Urdu verbs have been analyzed and the details of the analysis have been presented. We propose a new classification scheme for Urdu verbs, based on morphology. The morphological rules proposed for each class have been tested by simulating with a 2-layer morphological analyzer, based on finite state transducers. The analysis and generation of surface forms have been successfully carried out, indicating the robustness of proposed methodology.
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Niazi, A. (2018). Morphological Analysis of Urdu Verbs. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2016. Lecture Notes in Computer Science(), vol 9623. Springer, Cham. https://doi.org/10.1007/978-3-319-75477-2_19
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DOI: https://doi.org/10.1007/978-3-319-75477-2_19
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