Arabic Computational Morphology Knowledge-based and Empirical Methods /
The morphology of Arabic poses special challenges to computational natural language processing systems. The exceptional degree of ambiguity in the writing system, the rich morphology, and the highly complex word formation process of roots and patterns all contribute to making computational approache...
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| Other Authors: | , , |
| Language: | English |
| Published: |
Dordrecht :
Springer Netherlands : Imprint: Springer,
2007.
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| Edition: | 1st ed. 2007. |
| Series: | Text, Speech and Language Technology,
38 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-1-4020-6046-5 |
Table of Contents:
- Arabic Computational Morphology: Knowledge-based and Empirical Methods
- On Arabic Transliteration
- Issues in Arabic Morphological Analysis
- Knowledge-Based Methods
- A Syllable-based Account of Arabic Morphology
- Inheritance-based Approach to Arabic Verbal Root-and-Pattern Morphology
- Arabic Computational Morphology: A Trade-off Between Multiple Operations and Multiple Stems
- Grammar-Lexis Relations in the Computational Morphology of Arabic
- Empirical Methods
- Learning to Identify Semitic Roots
- Automatic Processing of Modern Standard Arabic Text
- Supervised and Unsupervised Learning of Arabic Morphology
- Memory-based Morphological Analysis and Part-of-speech Tagging of Arabic
- Integration of Arabic Morphology in Larger Applications
- Light Stemming for Arabic Information Retrieval
- Adapting Morphology for Arabic Information Retrieval*
- Arabic Morphological Representations for Machine Translation
- Arabic Morphological Generation and its Impact on the Quality of Machine Translation to Arabic.