The Summarization of Arabic News Texts Using Probabilistic Topic Modeling for L2 Micro Learning Tasks
| dc.contributor.author | Elsayed, Issa | |
| dc.date.accessioned | 2020-03-18T01:33:03Z | |
| dc.date.available | 2020-03-18T01:33:03Z | |
| dc.date.issued | 2020-01-14 | |
| dc.description | Report submitted as a result, in part, of participation in the Language Flagship Technology Innovation Center's Summer internship program in Summer 2019. | |
| dc.description.abstract | The field of Natural Language Processing (NLP) combines computer science, linguistic theory, and mathematics. Natural Language Processing applications aim at equipping computers with human linguistic knowledge. Applications such as Information Retrieval, Machine Translation, spelling checkers, as well as text sum- marization, are intriguing fields that exploit the techniques of NLP. Text summariza- tion represents an important NLP task that simplifies various reading tasks. These NLP-based text summarization tasks can be utilized for the benefits of language acquisition. | |
| dc.description.sponsorship | Language Flagship Technology Innovation Center | |
| dc.format.extent | 48 pages | |
| dc.identifier.uri | http://hdl.handle.net/10125/66565 | |
| dc.language.iso | en-US | |
| dc.rights | Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
| dc.subject | Computational linguistics | |
| dc.subject | natural language processing | |
| dc.subject | Human Language and Technology | |
| dc.subject.lcsh | Natural language processing (Computer science) | |
| dc.title | The Summarization of Arabic News Texts Using Probabilistic Topic Modeling for L2 Micro Learning Tasks | |
| dc.type | Technical Report | |
| dc.type.dcmi | Text |