--- title: "Mohamed Eldesouki — papers and cards" description: "Mohamed Eldesouki: 2 paper cards in the Research library (2017), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/mohamed-eldesouki/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mohamed-eldesouki/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mohamed Eldesouki # Mohamed Eldesouki 2 paper cards in the Research library · 2017 Mohamed Eldesouki wrote 2 of the papers Mova reads, in 2017, most of them on [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/); often with [Ahmed Abdelali](https://md.research.elamur.ai/free/en/authors/ahmed-abdelali/), [Hamdy Mubarak](https://md.research.elamur.ai/free/en/authors/hamdy-mubarak/), [Kareem Darwish](https://md.research.elamur.ai/free/en/authors/kareem-darwish/). [OpenAlex](https://openalex.org/A5033221342) · [ORCID](https://orcid.org/0009-0009-6662-5883) · [**h-index 6**](https://openalex.org/authors/A5033221342) · [191 citations](https://openalex.org/authors/A5033221342) · [87 works](https://openalex.org/works?filter=author.id:A5033221342) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Mohamed+Eldesouki) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mohamed+Eldesouki) · [dblp](https://dblp.org/search?q=Mohamed+Eldesouki) · [ACL Anthology](https://aclanthology.org/search/?q=Mohamed+Eldesouki) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Mohamed+Eldesouki) Topics: [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/) 1 ## Papers 1. **[A Neural Architecture for Dialectal Arabic Segmentation](https://md.research.elamur.ai/free/en/papers/aclbulk-2017-samih-neural-architecture-dialectal-arabic-segmentation/)** *(2017)* Egyptian Arabic in tweets has no standard spelling and few annotated resources, and the clitics attached to its verbs are missed by MSA tools. 2. **[Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM](https://md.research.elamur.ai/free/en/papers/langstream-2017-eldesouki-arabic-multi-dialect-segmentation-bi/)** *(2017)* The paper segments four Arabic dialects (Egyptian, Levantine, Gulf, Maghrebi) from raw Twitter text. Only about 350 manually segmented tweets per dialect are used for training, with 5-fold cross-validation and a 70/10/20 split. Two approaches are compared. An SVM ranker generates all segmentations of a word from a… ## Co-authors (7) - [Ahmed Abdelali](https://md.research.elamur.ai/free/en/authors/ahmed-abdelali/) ×2 - [Hamdy Mubarak](https://md.research.elamur.ai/free/en/authors/hamdy-mubarak/) ×2 - [Kareem Darwish](https://md.research.elamur.ai/free/en/authors/kareem-darwish/) ×2 - [Mohammed Attia](https://md.research.elamur.ai/free/en/authors/mohammed-attia/) ×2 - [Younes Samih](https://md.research.elamur.ai/free/en/authors/younes-samih/) ×2 - Kallmeyer Laura - Laura Kallmeyer