Abstract
This paper concentrates on contrasting between two well-known Arabic parsers that is the Stanford Parser and the Bikel parser by utilizing the Arabic Treebank (ATB). The contrast between the Stanford and Bikel parser is done for model preparing and testing, for this reason we made a software that empowers us to change over the ATB arrangement to language structure organize, change over the Arabic Morphological labels (tags) to Penn labels (tags), and assess the parsers yield by ascertaining the Precision, Recall, F-Score, and Tag Accuracy. We additionally alter Bikel Parser to utilize the Penn labels (tags) in preparing to enhance the Precision, Recall, F-Score, and Tag Accuracy comes about because of the parse yield.
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Ezzeldin, K., Siddiqui, S., Shaalan, K. (2018). Evaluating Arabic Parser and Recommending Improvements. In: Hassanien, A., Shaalan, K., Gaber, T., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017. AISI 2017. Advances in Intelligent Systems and Computing, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-64861-3_39
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DOI: https://doi.org/10.1007/978-3-319-64861-3_39
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