Abstract
An Arabic preference noun (i.e. comparative and superlative) is among the nominal forms derived from a verb that we have treated. Our work is pure morphological processing to generate automatically the derivatives of nouns and verbs from canonical forms. This treatment is an important step in Natural Language Processing (NLP). It represents a pretreatment for syntactic analyses and contributes in the construction of extensional lexicon. In this paper, we present a part of our work, the Head Driven Phrase Structure Grammar (HPSG) representation of preference nouns for Arabic language. The choice of this formalism is justified. In fact, HPSG is a unification grammar based on a set of principles, essentially inheritance. This principle allows treating several phenomena with a minimum number of rules.. For this reason, we start by classifying different patterns of preference nouns and representing them with HPSG. After that, each pattern was specified with Type Description Language (TDL). Then, it was validated on Linguistic Knowledge Building (LKB) system. The obtained results are encouraging which proves the effectiveness of our system.
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Ben Ismail, S., Boukédi, S., Haddar, K. (2019). HPSG Grammar Supporting Arabic Preference Nouns and Its TDL Specification. In: Smaïli, K. (eds) Arabic Language Processing: From Theory to Practice. ICALP 2019. Communications in Computer and Information Science, vol 1108. Springer, Cham. https://doi.org/10.1007/978-3-030-32959-4_16
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DOI: https://doi.org/10.1007/978-3-030-32959-4_16
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