| dc.contributor.author | Namly, Driss |
| dc.contributor.author | Bouzoubaa, Karim |
| dc.contributor.author | El Jihad, Abdelhamid |
| dc.date.accessioned | 2023-03-27T14:29:53Z |
| dc.date.available | 2023-03-27T14:29:53Z |
| dc.date.issued | 2020-10-16 |
| dc.identifier.uri | http://hdl.handle.net/11372/LRT-5102 |
| dc.description | Comprehensive Arabic LEMmas is a lexicon covering a large list of Arabic lemmas and their corresponding inflected word forms (stems) with details (POS + Root). Each lexical entry represents a lemma followed by all its possible stems and each stem is enriched by its morphological features especially the root and the POS. It is composed of 164,845 lemmas representing 7,200,918 stems, detailed as follow: 757 Arabic particles 2,464,631 verbal stems 4,735,587 nominal stems The lexicon is provided as an LMF conformant XML-based file in UTF8 encoding, which represents about 1,22 Gb of data. Citation: – Namly Driss, Karim Bouzoubaa, Abdelhamid El Jihad, and Si Lhoussain Aouragh. “Improving Arabic Lemmatization Through a Lemmas Database and a Machine-Learning Technique.” In Recent Advances in NLP: The Case of Arabic Language, pp. 81-100. Springer, Cham, 2020. |
| dc.language.iso | ara |
| dc.publisher | ALELM |
| dc.rights | Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ |
| dc.source.uri | http://arabic.emi.ac.ma/alelm/?page_id=273/#Lexicon |
| dc.subject | lexicon |
| dc.subject | lemmatization |
| dc.subject | stemming; |
| dc.title | CALEM (Comprehensive Arabic LEMmas) |
| dc.type | lexicalConceptualResource |
| metashare.ResourceInfo#ContentInfo.mediaType | text |
| metashare.ResourceInfo#ContentInfo.detailedType | lexicon |
| dc.rights.label | PUB |
| has.files | yes |
| branding | LRT + Open Submissions |
| demo.uri | http://arabic.emi.ac.ma/alelm/?page_id=273/#Lexicon |
| contact.person | namly driss namly_driss@yahoo.fr Mohammadia School of Engineers, Mohammed Vth University, Rabat, Morocco. |
| size.info | 7200918 entries |
| files.size | 20504 |
| files.count | 1 |
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