Ali Nirheche

PhD Candidate — Department of Linguistics, UMass Amherst

I'm a fifth-year PhD candidate in the Linguistics Department at the University of Massachusetts Amherst, working at the intersection of computational linguistics and morphophonology. My research builds and compares computational models to explain how speakers generalize morphological patterns, with a particular focus on patterns of variation and exceptionality. I build large-scale corpora and computational learning algorithms to test these models against experimental data.

I primarily work on Arabic varieties, with a particular focus on Moroccan Arabic, a language that has emerged in a linguistically rich context shaped by contact with Berber, French, and Spanish.

Portrait of Ali Nirheche

Research Interests

Latest News

22–24 October 2026

Presentation at NWAV 54

Collaborative work with Abdelkader El-Khaoua, "When Adjectives Act Like Verbs: Negation Variation and Change in Moroccan Arabic", was presented at NWAV 54, Université de Montréal, Montréal, Canada.

14 September 2026

MaxEntLab released

Released MaxEntLab, a browser-based tool for fitting Maximum Entropy grammars, with support for variable data and hidden structure. Try the app ↗

26 June 2026

Paper published in Glossa

"Using Temporal Stability to Probe the Syllabification of Medial Geminates: Evidence from Moroccan Arabic" was published in Glossa: a journal of general linguistics.