Syntax Commons^™

Digital Diagramming: Adapting A Tried And True Pedagogy To A Digital Environment, Mary Lynne Gasaway Hill

Faculty Publications

With the move away from formal grammatical instruction in many US primary and secondary schools over the past thirty years, college writing teachers often find themselves dealing with student papers riddled with basic syntactic errors. Sentence diagramming, which requires students to parse a sentence into its most basic components, provides a method to assist students in mastering syntactic fundamentals.

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

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.

Expanding Tree Adjoining Grammar To Create Junction Grammar Trees, Deryle W. Lonsdale, Ronald Millett

Faculty Publications

Junction Grammar (JG) combines junction operators, multiple linked syntax/semantics trees, and flexible traversal algorithms. The multiple tree and flexible ordering characteristics of MC-TAG and other TAG extensions are somewhat analogous. This paper proposes that these similarities can be integrated to form a new approach, JG-TAG. Relevant aspects of both theories and the proposed new model are discussed in turn, and representative examples are sketched.

Nl-Soar Update, Deryle W. Lonsdale

Faculty Publications

No abstract provided.

A Categorial Grammar Fragment For Lushootseed, Deryle W. Lonsdale

Faculty Publications

This paper establishes a basic framework for a Categorial Grammar (CG) description ofLushootseed morpho syntax and semantics. After a brief review of English CG principles, a preliminary attempt is made to apply these fundamentals to Lushootseed free and bound morphemes. Several sample derivations are presented. including one rather complex syntactic ambigiuty previously noted in the literature with its alternative descriptions. Once the syntactic elements have been put in place a short overview is presented of how semantic interpretation can be established in tandem with syntactic composition principles. Finally, the implementation of this framework within the Attribute Logic Engine environment is …

An Operator-Based Account Of Semantic Processing, Deryle W. Lonsdale, C. Anton Rytting

Faculty Publications

This paper explores issues of psychological plausibility in modeling natural language understanding within Soar, a symbolic cognitive model. It focuses on constructing syntactic and semantic representations in simulated real time, with particular emphasis on word sense disambiguation (WSD). We discuss (i) what level of WSD should be modeled and (ii) how to use resources such as WordNet to inform these models. A preliminary model of coarse-grained WSD is included to show how syntactic, semantic, and other knowledge sources interact in Soar. Finally, we explore issues of interleaving, learning, and integrating other WSD approaches with Soar's native model of learning.