--- title: "Nasser Zalmout — papers and cards" description: "Nasser Zalmout: 5 paper cards in the Research library (2017–2020), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/nasser-zalmout/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nasser-zalmout/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nasser Zalmout # Nasser Zalmout 5 paper cards in the Research library · 2017–2020 Nasser Zalmout wrote 5 of the papers Mova reads, in 2017–2020, most of them on [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/); often with [Nizar Habash](https://md.research.elamur.ai/free/en/authors/nizar-habash/), Alexander Erdmann, [Salam Khalifa](https://md.research.elamur.ai/free/en/authors/salam-khalifa/). [OpenAlex](https://openalex.org/A5089887413) · [**h-index 16**](https://openalex.org/authors/A5089887413) · [758 citations](https://openalex.org/authors/A5089887413) · [43 works](https://openalex.org/works?filter=author.id:A5089887413) — 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=Nasser+Zalmout) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nasser+Zalmout) · [dblp](https://dblp.org/search?q=Nasser+Zalmout) · [ACL Anthology](https://aclanthology.org/search/?q=Nasser+Zalmout) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Nasser+Zalmout) Topics: [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) 2 ## Papers 1. **[Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging](https://md.research.elamur.ai/free/en/papers/acl-2020-zalmout-joint-diacritization-lemmatization-normalization-fine/)** *(2020)* Arabic lemmas and diacritized forms are open-vocabulary and best modelled on characters, while POS and the fourteen closed features are word-level tags. 2. **[Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods](https://md.research.elamur.ai/free/en/papers/lingbulk-2020-khalifa-morphological-analysis-disambiguation-gulf-arabic/)** *(2020)* This is the first full morphological analysis and disambiguation system for Gulf Arabic (Emirati data). The analyser for Gulf Arabic is not written by hand: it is built by paradigm completion from the training split of the Annotated Gumar Corpus (about 202,000 tokens, eight novel excerpts). Two hand-built analysers… 3. **[Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling](https://md.research.elamur.ai/free/en/papers/acl-2019-zalmout-adversarial-multitask-learning-joint-multi/)** *(2019)* The authors tag fourteen Arabic morphological features (POS, aspect, case, gender, and others) with one Bi-LSTM whose hidden layers are shared across features, instead of one model per feature. 4. **[Noise-Robust Morphological Disambiguation for Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/naacl-2018-zalmout-noise-robust-morphological-disambiguation-dialectal/)** *(2018)* The paper builds a morphological disambiguator for Egyptian Arabic, where spelling is unstandardised and most words have many analyses (about 24 per word, against about 12 in MSA). 5. **[Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic](https://md.research.elamur.ai/free/en/papers/aclbulk-2017-zalmout-don-t-throw-those-morphological/)** *(2017)* A morphological analyzer gives several readings for each Arabic word when taken out of context, and the task is to choose the right one in context. ## Co-authors (3) - [Nizar Habash](https://md.research.elamur.ai/free/en/authors/nizar-habash/) ×5 - Alexander Erdmann - [Salam Khalifa](https://md.research.elamur.ai/free/en/authors/salam-khalifa/) ## More papers in the library (2) Pages of the Research library: our summary, the ideas, references and who cites each. - [CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/obeid-2020-camel-tools-open-source-python/) — Ossama Obeid, Nasser Zalmout, Salam Khalifa, et al. · 2020 - [Unified Guidelines and Resources for Arabic Dialect Orthography](https://md.research.elamur.ai/free/en/papers/habash-2018-unified-guidelines-resources-arabic-dialect/) — Nizar Habash, Fadhl Eryani, Salam Khalifa, et al. · 2018