Ash Asudeh. The Ins and Outs of Exponence. Presented to the Department of Linguistics, University at Buffalo, December 9, 2022.
Corrected version (minor corrections)
Ash Asudeh, Tina Bögel & Daniel Siddiqi. Modelling Exponents. Presented at MoMOT 2022, UQAM, November 18, 2022.
Ash Asudeh, Tina Bögel & Daniel Siddiqi. Modelling Exponents. Presented at the SE-LFG Meeting, SOAS, October 29, 2022.
Ash Asudeh & Daniel Siddiqi. Realizational Morphosemantics in LrFG. Presented at LFG22, University of Groningen. July 14, 2022.
Ash Asudeh, with Dan Siddiqi. Realizational Morphosemantics. Presented at MoMOT5, University of Ottawa. November 12, 2021.
Michael Everdell, Paul B. Melchin, Ash Asudeh & Daniel Siddiqi. Beyond c-structure and f-structure: On the argument-adjunct distinction in O’dam. Presented at LFG 2021. Online. July 15, 2021.
Ash Asudeh, Michael Everdell, Paul B. Melchin & Daniel Siddiqi. LRFG: Implementing realizational morphosyntax in a constraint-based framework. Presented at the School of Philosophy, Psychology and Language Sciences, University of Edinburgh. June 8, 2021.
Ash Asudeh, Paul B. Melchin & Dan Siddiqi. DM + LFG = LRFG. Presented at the Department of Linguistics, University of Arizona. December 4, 2020.
Ash Asudeh, Paul B. Melchin & Dan Siddiqi. Introducing Lexical-Realizational Functional Grammar. Presented to the UT Austin Syntax-Semantics Research Group. December 1, 2020.
Paul B. Melchin, Ash Asudeh & Dan Siddiqi. Ojibwe Agreement in Lexical-Realizational Functional Grammar. Presented to the University of Toronto Syntax Project. July 22, 2020.
Daniel Siddiqi. On the Taxonomy of Root Suppletion. Presented at WCCFL 39, University of Arizona. April 10, 2021.
Ash Asudeh, Paul B. Melchin & Daniel Siddiqi. Constraints all the way down: DM in a representational model of grammar. Presented at WCCFL 39, University of Arizona. April 11, 2021.
Ash Asudeh, Paul B. Melchin & Daniel Siddiqi. Ojibwe Agreement in LRFG. Presented at LFG 2020. Online.
Paul B. Melchin, Ash Asudeh & Dan Siddiqi. Ojibwe Agreement in a representational, morpheme-based framework. Presented at CLA 2020. Online.