Forthcoming: Modeling nominal predications in Hindi/Urdu

Sebastian Sulger  


The identification and classification of nominal predicators and their arguments is a notorious problem in natural language processing (NLP). Semantic reasoning, information retrieval, question answering and other applications can benefit greatly from a successful treatment of nominal predication. Overall, a considerable amount of work in NLP focuses on the identification and annotation of verbal predication and arguments thereof, and there is less research on types and identification of nominal predicates and their arguments. This book is a contribution of the latter type. It focuses on the description and analysis of nominal arguments in the South Asian language Hindi/Urdu. The analysis is couched within the theory of Lexical-Functional Grammar and is implemented in a computational grammar, the Urdu ParGram grammar, which is a part of the ParGram (“Parallel Grammar”) project on parallel LFG grammar engineering. The implementation makes use of the grammar development platform XLE.


Sebastian Sulger, University of Konstanz

Sebastian Sulger studied linguistics at the University of Konstanz. He received his PhD in linguistics in 2015 from the University of Konstanz, where he was a doctoral and post-doctoral research scientist and taught courses in computational linguistics. His research interests include grammar development and multiword expressions (on the computational side of things) as well as argument structure and complex predicates (on the theoretical side). He left academia in 2017 and now works as a technical writer and coach at STAR AG.

Cover for Forthcoming: Modeling nominal predications in Hindi/Urdu