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Nadir Durrani

2 paper cards in the Research library · 2016–2017

Nadir Durrani wrote 2 of the papers Mova reads, in 2016–2017, most of them on Part-of-speech tagging, Machine translation; often with Ahmed Abdelali, Fahim Dalvi, Hamdy Mubarak.

OpenAlex · ORCID · h-index 31 · 3169 citations · 145 works — 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 · Semantic Scholar · dblp · ACL Anthology · ORCID

Topics: Part-of-speech tagging 1 · Machine translation 1

Papers

  1. Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging (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 (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)

More papers in the library (3)

Pages of the Research library: our summary, the ideas, references and who cites each.