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, Machine translation; often with Ahmed Abdelali, Fahim Dalvi, Hamdy Mubarak.

The profile is the library's match of the name; two people with one name are not always told apart.

Papers

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.
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…