Open AccessAn Arabic CCG approach for determining constituent types from Arabic Treebank
Author(s) -
Ahmed I. El-taher,
Hitham M. Abo Bakr,
Ibrahim Zidan,
Khaled Shaalan
Publication year - 2014
Publication title -
journal of king saud university - computer and information sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 33
eISSN - 2213-1248
pISSN - 1319-1578
DOI - 10.1016/j.jksuci.2014.06.005
Subject(s) - treebank , computer science , combinatory categorial grammar , natural language processing , arabic , artificial intelligence , preprocessor , identification (biology) , process (computing) , annotation , linguistics , rule based machine translation , programming language , tree adjoining grammar , botany , context free grammar , philosophy , biology
Converting a treebank into a CCGbank opens the respective language to the sophisticated tools developed for Combinatory Categorial Grammar (CCG) and enriches cross-linguistic development. The conversion is primarily a three-step process: determining constituents’ types, binarization, and category conversion. Usually, this process involves a preprocessing step to the Treebank of choice for correcting brackets and normalizing tags for any changes that were introduced during the manual annotation, as well as extracting morpho-syntactic information that is necessary for determining constituents’ types. In this article, we describe the required preprocessing step on the Arabic Treebank, as well as how to determine Arabic constituents’ types. We conducted an experiment on parts 1 and 2 of the Penn Arabic Treebank (PATB) aimed at converting the PATB into an Arabic CCGbank. The performance of our algorithm when applied to ATB1v2.0 & ATB2v2.0 was 99% identification of head nodes and 100% coverage over the Treebank data
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