An Arabic CCG Approach For Determining Constituent Types From Arabic Treebank

Converting a tree bank into a CCG bank 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 cate...

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Bibliographic Details
Published in:Journal of King Saud University. Computer and information sciences 2014-12, Vol.26 (4), p.441-449
Main Authors: El-Taher, Ahmed I, Abo Bakr, Hitahm M, Zidan, Ibrahim, Shaalan, Khaled
Format: Article
Language:English
Subjects:
Arabic
CCGbank
Treebank
البرمجة اللغوية العصبية
اللسانيات الحاسوبية
اللغة العربية
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Summary:Converting a tree bank into a CCG bank 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 CCG bank. 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.
ISSN:1319-1578
2213-1248
DOI:10.1016/j.jksuci.2014.06.005