Automatic Part-of-Speech Tagging of Arabic-English Dictionary Senses through WordNet
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Computer Science > Computation and Language
Title:Automatic Part-of-Speech Tagging of Arabic-English Dictionary Senses through WordNet
Abstract:This paper proposed an algorithm for part-of-speech (POS) tagging senses of a bilingual dictionary. The algorithm is applied on the Al-Mawrid Arabic-English dictionary. The tagging task is accomplished by transferring the POS tags of the English translation equivalences (TEs) to the dictionary senses after dis-ambiguities process. The English POS tags of senses are acquired from the Princeton WordNet. POS tagging of bilingual dictionary senses is prerequisite to link a bilingual dictionary to WordNet and/or standardizing that dictionary into WordNet-LMF format where the synset (set of synonyms), not word, is the basic brick. The registered accuracy is high though the cost is little. Building NLP/HLT tools needs linguistic experts, large investments, and long time. For statistical approach, we need large annotated corpora and for rule-based approach, we need large lexicon that contains rich linguistic and world knowledge. That motivates the appearance of what are called resource-light approaches to develop natural language processing (NLP) tools for poor-resource languages.
| Comments: | 10 pages, 3 figures, 5 tables, Published in Proceedings of the 15th Conference on Language Engineering, Egyptian Society of Language Engineering (ESOLE'15), Dec., 2015 |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2606.24359 [cs.CL] |
| (or arXiv:2606.24359v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2606.24359
arXiv-issued DOI via DataCite (pending registration)
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| Journal reference: | Published in Proceedings of the 15th Conference on Language Engineering, Egyptian Society of Language Engineering (ESOLE'15), Dec., 2015 |
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