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A robotic framework for semantic concept learning.

Description: This report describes work carried out under a Sandia National Laboratories Excellence in Engineering Fellowship in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. Our research group (at UIUC) is developing a intelligent robot, and attempting to teach it language. While there are many aspects of this research, for the purposes of this report the most important are the following ideas. Language is primarily based on semantics, not syntax. To truly learn meaning, the language engine must be part of an embodied intelligent system, one capable of using associative learning to form concepts from the perception of experiences in the world, and further capable of manipulating those concepts symbolically. In the work described here, we explore the use of hidden Markov models (HMMs) in this capacity. HMMs are capable of automatically learning and extracting the underlying structure of continuous-valued inputs and representing that structure in the states of the model. These states can then be treated as symbolic representations of the inputs. We describe a composite model consisting of a cascade of HMMs that can be embedded in a small mobile robot and used to learn correlations among sensory inputs to create symbolic concepts. These symbols can then be manipulated linguistically and used for decision making. This is the project final report for the University Collaboration LDRD project, 'A Robotic Framework for Semantic Concept Learning'.
Date: September 1, 2004
Creator: Squire, Kevin M. (University of Illinois at Urbana-Champaign, Urbana, IL.); Levinson, Stephen E. (University of Illinois at Urbana-Champaign, Urbana, IL.) & Xavier, Patrick Gordon
Partner: UNT Libraries Government Documents Department

Federal Services for Constituents Available in Foreign Languages: Selected Sources

Description: This report is a directory of sources on various federal constituent services available in foreign languages, to assist congressional offices in serving non-English speaking constituents. The topics covered are: access to jobs and workers’ issues, Americans with Disabilities Act, childcare, consumer protection, disaster relief, elder care, emergency preparedness, environmental protection, Federal Bureau of Investigation, food safety, health, higher education, homeland security, housing, immigration, immunizations, Medicaid, Medicare, the Presidency, retirement, Small Business Administration, Social Security Administration, taxes, telephone service, travel and tourism, veterans affairs, and voting.
Date: March 14, 2003
Creator: Wu, Leneice & Shapiro, Sherry
Partner: UNT Libraries Government Documents Department

English as the Official Language of the United States: Legal Background

Description: For over a decade, legislation that would either declare English the official language of the United States government or that would oppose such declarations has been introduced in Congress. This report discusses the legal effect of some of these congressional proposals, as well as current federal policy on foreign language assistance, the constitutional law implications of official English proposals, and legal issues regarding state laws on official English.
Date: December 23, 2010
Creator: Feder, Jody
Partner: UNT Libraries Government Documents Department