Ambiguity resolution is a central problem in language comprehension. Lexical and syntactic ambiguities are standardly assumed to involve different types of knowledge representations and be resolved by different mechanisms. An alternative account is provided in which both types of ambiguity derive

This article presents two self-paced reading experiments which investigate the role of storage costs associated with maintaining incomplete syntactic dependencies in structural ambiguity resolution. We argue that previous work has been equivocal regarding syntactic influences because it has

declara ceder os seus direitos de cópia sobre o seu Relatório de Projecto em Engenharia Informática, intitulado “Verbal lemmatization and featurization of Portuguese with ambiguity resolution in context”, realizado no ano lectivo de 2006/2007 à Faculdade de Ciências da Universidade de Lisboa, para

Abstract. The Maximum a Posteriori Ambiguity Search (MAPAS) method for GPS (Global Positioning System) ambiguity resolution first introduced by Macabiau, is generalized to accommodate: (1) satellite switches caused by satellites rising or falling below the horizon or obstructing terrain, and (2

to multiple places). Many places are also referred to by multiple names (e.g. Netherlands vs. Holland). In this paper we describe an approach to placename ambiguity resolution i.e. place reference resolution, resolution of a document’s geographical scope and placename referent resolution. The approach

between instances are created or removed to sat- isfy conslaints on concept sequences, and (3) a concept node with insufficient priming is used for further processing. This method of ambiguity resolution is implemented in DMTRANS PLUS, which is a second generation bi-directional English//apanese machine

distribution. With this estimator, the propagated variance-covariance matrix of the estimated parameters can be obtained. We have adapted the LAMBDA method, part of an integer least-squares estimator developed for the ambiguity resolution of carrier phase observations in GPS, to the problem of Permanent

The best aspect of a research environment, in my opinion, is the abundance of bright people with whom you argue, discuss, and nurture your ideas. I thank all of the people at Penn and elsewhere who have given me the feedback that has helped me to separate the good ideas from the bad ideas. I hope that Ihave kept the good ideas in this thesis, and left the bad ideas out! Iwould like toacknowledge the following people for their contribution to my education: I thank my advisor Mitch Marcus, who gave me the intellectual freedom to pursue what I believed to be the best way to approach natural language processing, and also gave me direction when necessary. I also thank Mitch for many fascinating conversations, both personal and professional, over the last four years at Penn. I thank all of my thesis committee members: John La erty from Carnegie Mellon University, Aravind Joshi, Lyle Ungar, and Mark Liberman, for their extremely valuable suggestions and comments about my thesis research. I thank Mike Collins, Jason Eisner, and Dan Melamed, with whom I've had many stimulating and impromptu discussions in the LINC lab. Iowe them much gratitude for their valuable feedback onnumerous rough drafts of papers and thesis chapters.

this paper, we review the results of six experiments which form the basis of a model of ambiguity resolution in context, and at the same account for some of the contradictions in the existing literature

Laboratoire Parole et langage, UMR 6057