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Crossing Dependencies In Persian, Jonathan M. Dehdari

Theses and Dissertations

Languages occasionally have syntactic constructions that are difficult, if not impossible, to describe using a context-free grammar. One such construction is a crossing dependency. Crossing dependencies have been well studied for Dutch and Swiss German (Huybregts, 1976; Shieber, 1985), and recently for Tagalog (Maclachlan and Rambow, 2003). In this paper I propose that Persian exhibits crossing dependencies. In this SOV language, a light verb construction in the future tense becomes interrupted by a future auxiliary verb, which agrees with its subject in person and number. The future auxiliary also splits passive constructions in a similar manner. These forms present interesting …

Learning In Minimalism-Based Language Modeling, Deryle W. Lonsdale

Faculty Publications

The natural language version of the Soar cognitive modeling system (Newell, 1990) has enabled a number of language modeling applications from on-line parsing behavior (Lewis, 1993) to simultaneous interpretation (Lonsdale, 1997, 1998) to robotic control (Benjamin, Lonsdale, & Lyons, 2004). The system supports an integrated approach to incremental comprehension and generation. Learning mechanisms account for processes in language performance from deliberate, explicit reasoning to automatic, recognitional expertise.

Syntactic processing in prior versions of the system followed the Principles and Parameters approach to syntax.

Xnl-Soar, Incremental Parsing, And The Minimalist Program, Deryle W. Lonsdale, Lareina Hingson, Jamison Cooper-Leavitt, David W. Casbeer, Rebecca Madsen

Faculty Publications

Minimalist Principles (Chomsky 1995)

Hierarchy of Projections (Adger 2003)

Features play a central role

NP, VP symmetry including shells

Really Intriguing, That Pred Np!, Ileana Paul, Robert Stainton

Philosophy Publications

No abstract provided.

Learning In Minimalism-Based Language Modeling, Deryle W. Lonsdale

Faculty Publications

The natural language version of the Soar cognitive modeling system (Newell, 1990) has enabled a number of language modeling applications from on-line parsing behavior (Lewis, 1993) to simultaneous interpretation (Lonsdale, 1997, 1998) to robotic control (Benjamin, Lonsdale, & Lyons, 2004). The system supports an integrated approach to incremental comprehension and generation. Learning mechanisms account for processes in language performance from deliberate, explicit reasoning to automatic, recognitional expertise.

Syntactic processing in prior versions of the system followed the Principles and Parameters approach to syntax.