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# Nadir Durrani

2 paper cards in Mova's library · 2016–2017

Nadir Durrani wrote 2 of the papers Mova reads, in 2016–2017, most of them on [Part-of-speech tagging](https://md.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/), [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [Ahmed Abdelali](https://md.mova.elamur.ai/free/en/docs/papers/authors/ahmed-abdelali/), Fahim Dalvi, [Hamdy Mubarak](https://md.mova.elamur.ai/free/en/docs/papers/authors/hamdy-mubarak/).

[OpenAlex](https://openalex.org/A5032689067) · [ORCID](https://orcid.org/0000-0002-9378-4128) · [**h-index 32**](https://openalex.org/authors/A5032689067) · [3403 citations](https://openalex.org/authors/A5032689067) · [145 works](https://openalex.org/works?filter=author.id:A5032689067) — 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=Nadir+Durrani) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nadir+Durrani) · [dblp](https://dblp.org/search?q=Nadir+Durrani) · [ACL Anthology](https://aclanthology.org/search/?q=Nadir+Durrani) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Nadir+Durrani)

Topics: [Part-of-speech tagging](https://md.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/) 1 · [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 1

## Papers

1. **[Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2017-sajjad-challenging-language-dependent-segmentation-arabic/)** *(2017)* The paper asks whether Arabic can be segmented without a language-specific morphological tool such as MADAMIRA or Farasa.
2. **[Farasa: A Fast and Furious Segmenter for Arabic](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-abdelali-farasa-fast-furious-segmenter-arabic/)** *(2016)* Farasa splits an Arabic word into prefixes, stem and suffixes. Every character-level split that uses a legal prefix and suffix sequence is generated, and a linear SVM-rank model scores the candidates. The features are stem and affix likelihoods, lexicon membership (a list of valid stems, a gazetteer of names, a list…

## Co-authors (7)

- [Ahmed Abdelali](https://md.mova.elamur.ai/free/en/docs/papers/authors/ahmed-abdelali/) ×2
- Fahim Dalvi
- [Hamdy Mubarak](https://md.mova.elamur.ai/free/en/docs/papers/authors/hamdy-mubarak/)
- Hassan Sajjad
- [Kareem Darwish](https://md.mova.elamur.ai/free/en/docs/papers/authors/kareem-darwish/)
- [Stephan Vogel](https://md.mova.elamur.ai/free/en/docs/papers/authors/stephan-vogel/)
- [Yonatan Belinkov](https://md.mova.elamur.ai/free/en/docs/papers/authors/yonatan-belinkov/)
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