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| dc.contributor.author | Fahs, Bouchra Abdul Amir, |
| dc.date.accessioned | 2018-10-11T11:43:07Z |
| dc.date.available | 2018-10-11T11:43:07Z |
| dc.date.copyright | 2019-05 |
| dc.date.issued | 2018 |
| dc.date.submitted | 2018 |
| dc.identifier.other | b21168465 |
| dc.identifier.uri | http://hdl.handle.net/10938/21430 |
| dc.description | Project. M.S. American University of Beirut. Department of Computer Science, 2018. Pj:1935$First Reader : Dr. Elbassuoni, Shady, Assistant Professor, Computer Science ; Second Reader : Dr. Abu Salem, Fatima K., Associate Professor, Computer Science. |
| dc.description | Includes bibliographical references (leaf 12) |
| dc.description.abstract | Based on the idea that “a word is characterized by the company it keeps”(Firth, 1957) word embedding attempt to derive a set of vectors to represent the corpus vocabulary. Thus having a new embedded space where the geometry between vectors capture the semantic relationship between the words. In this paper, we investigate and demonstrate how the distributed representation resulted by word embedding can be leveraged to quantify and show differences between religious books (Torah, Bible and Qur’an). And explore how the translation of such books affect such automated representations. |
| dc.format.extent | 1 online resource (vii, 12 leaves) : illustrations |
| dc.language.iso | eng |
| dc.subject.classification | Pj:001935 |
| dc.subject.lcsh | Data mining.$Visualization -- Data processing.$Natural language processing (Computer science). |
| dc.title | Word embedding of religious scripts - |
| dc.type | Project |
| dc.contributor.department | Faculty of Arts and Sciences.$Department of Computer Science. |
| dc.contributor.institution | American University of Beirut. |
