XNL-Soar is a specialized implementation of the Soar cognitive architecture. The version of XNL-Soar described in this thesis builds upon and extends prior research (Lewis, 1993; Rytting,2000) using Soar for natural language processing. This thesis describes the updates made to operators creating syntactic structure and the improved coverage of syntactic phenomena. It describes the addition of semantic structure building capability. This thesis also details the implementation of semantic memory and describes two experiments utilizing semantic memory in structural disambiguation. This thesis shows that XNL-Soar, as currently instantiated, resolves ambiguities common in language using strategies and resources including: reanalysis via snip operators, use of data-driven techniques with annotated corpora, and complex part-of-speech and word sense processing based on WordNet.
College and Department
Humanities; Linguistics and English Language
BYU ScholarsArchive Citation
McGhee, Jeremiah Lane, "Using a Cognitive Architecture in Incremental Sentence Processing" (2012). Theses and Dissertations. 3499.
language processing, cognitive modeling, incremental parsing, syntax, semantics, Soar