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# Nasser Zalmout

5 paper cards in Mova's 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.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/); often with [Nizar Habash](https://md.mova.elamur.ai/free/en/docs/papers/authors/nizar-habash/), Alexander Erdmann, [Salam Khalifa](https://md.mova.elamur.ai/free/en/docs/papers/authors/salam-khalifa/).

[OpenAlex](https://openalex.org/A5089887413) · [**h-index 16**](https://openalex.org/authors/A5089887413) · [803 citations](https://openalex.org/authors/A5089887413) · [43 works](https://openalex.org/works?filter=author.id:A5089887413) — openalex, 2026-10-18

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.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/) 2

## Papers

1. **[Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging](https://md.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/papers/authors/nizar-habash/) ×5
- Alexander Erdmann
- [Salam Khalifa](https://md.mova.elamur.ai/free/en/docs/papers/authors/salam-khalifa/)
- [← previous Nanyun Peng](https://md.mova.elamur.ai/free/en/docs/papers/authors/nanyun-peng/)
- [next → Natalia Silveira](https://md.mova.elamur.ai/free/en/docs/papers/authors/natalia-silveira/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)