Transformation system to generate derivational forms of an Arabic verb with HPSG

The automatic construction of linguistic resources has always been a center of interest in Natural Language Processing (NLP). It automatically constructs, for each word, its diverse morphological forms (i.e., derivational and inflectional), with a minimum number of rules. Indeed, this process facilitates the texts analysis essentially morphological analysis which is fundamental for several applications such as human-machine dialogue and grammatical error correction. In this context, the main objective of this work is to develop a transformation system for Arabic language with Head-driven Phrase Structure Grammar (HPSG) generating derivational forms of each type of Arabic verb. Based on a proposed type hierarchy, the conceived derived forms are specified on Type Description Language (TDL) to validate it with the Linguistic Knowledge Building (LKB) platform. The added rules to LKB generate the majority of the derivational forms and offer reliable results in a short time of execution. As example, we present in this paper, the generation process of derivational forms of an Arabic verb.