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New algorithm tags Arabic-English dictionary senses using WordNet

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a novel algorithm for automatically assigning part-of-speech (POS) tags to senses within an Arabic-English bilingual dictionary. This method leverages Princeton WordNet to transfer POS tags from English translation equivalents to their Arabic counterparts, after a disambiguation process. The approach aims to facilitate the linking of bilingual dictionaries to WordNet and their standardization into WordNet-LMF format, offering a resource-light solution for languages with limited NLP resources. AI

IMPACT This research offers a resource-light approach to developing NLP tools for languages with limited resources, potentially accelerating the creation of linguistic resources.

RANK_REASON The cluster contains an academic paper detailing a new algorithm for NLP tasks.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New algorithm tags Arabic-English dictionary senses using WordNet

COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Diaa M. Fayed, Aly A. Fahmy, Mohsen A. Rashwan, Wafaa K. Fayed ·

    Automatic Part-of-Speech Tagging of Arabic-English Dictionary Senses through WordNet

    arXiv:2606.24359v1 Announce Type: new 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 o…

  2. arXiv cs.CL TIER_1 English(EN) · Wafaa K. Fayed ·

    Automatic Part-of-Speech Tagging of Arabic-English Dictionary Senses through WordNet

    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 …

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