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Proposed framework for the evaluation of standalone corpora processing systems: an application to Arabic corpora
Abdulmohsen Al-Thubaity1, Hend Al-Khalifa2, Reem Alqifari2
1King AbdulAziz City for Science and Technology, Riyadh 11442, Saudi Arabia.
Thescientificworldjournal
|January 23, 2015
Summary
Researchers evaluated seven free corpus processing systems for Natural Language Processing (NLP) and corpus linguistics tasks. While usability was similar, functionality and performance varied, especially for Arabic language support and N-gram generation.
Area of Science:
- Corpus Linguistics
- Natural Language Processing (NLP)
- Computational Linguistics
- Language Learning and Teaching Technologies
Background:
- Online corpora are accessible, yet researchers in NLP and corpus linguistics may need to develop custom corpora.
- Various commercial and free standalone systems exist for corpus processing, but their comparative effectiveness is not well-documented.
- Specific challenges arise when processing non-English corpora, such as Arabic, requiring tailored system functionalities.
Purpose of the Study:
- To propose a comprehensive framework for evaluating standalone corpus processing systems.
- To apply this framework to assess seven freely available corpus processing systems.
- To specifically evaluate system suitability for processing Arabic corpora, focusing on usability, functionality, and performance.
Main Methods:
- Development of a novel evaluation framework incorporating usability, functionality, and performance metrics.
- Systematic application of the framework to seven selected free corpus processing tools.
- Comparative analysis of system performance, with a focus on Arabic language support and N-gram profile generation capabilities.
Main Results:
- Most evaluated systems demonstrated comparable usability scores.
- Significant differences were observed in functionality and performance metrics across the systems.
- Arabic language support and N-gram profile generation emerged as key differentiating factors in system capabilities.
Conclusions:
- The proposed evaluation framework provides a valuable reference for assessing corpus processing systems.
- Findings guide users in selecting appropriate tools based on specific needs, particularly for Arabic corpus processing.
- Results offer actionable insights for developers to enhance existing systems and create new, more effective corpus processing solutions.
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