  Morphological analysis in the Arabic language is computationally intensive,
has numerous forms and rules, and is intrinsically parallel. The investigation
presented in this paper confirms that the effective development of parallel
algorithms and the derivation of corresponding processors in hardware enable
implementations with appealing performance characteristics. The presented
developments of parallel hardware comprise the application of a variety of
algorithm modelling techniques, strategies for concurrent processing, and the
creation of pioneering hardware implementations that target modern programmable
devices. The investigation includes the creation of a linguistic-based stemmer
for Arabic verb root extraction with extended infix processing to attain
high-levels of accuracy. The implementations comprise three versions, namely,
software, non-pipelined processor, and pipelined processor with high
throughput. The targeted systems are high-performance multi-core processors for
software implementations and high-end Field Programmable Gate Array systems for
hardware implementations. The investigation includes a thorough evaluation of
the methodology, and performance and accuracy analyses of the developed
software and hardware implementations. The pipelined processor achieved a
significant speedup of 5571.4 over the software implementation. The developed
stemmer for verb root extraction with infix processing attained accuracies of
87% and 90.7% for analyzing the texts of the Holy Quran and its Chapter 29 -
Surat Al-Ankabut.
