Virginia Teller

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OBJECTIVE The aim of this study was to investigate relations among different aspects in supervised word sense disambiguation (WSD; supervised machine learning for disambiguating the sense of a term in a context) and compare supervised WSD in the biomedical domain with that in the general English domain. METHODS The study involves three data sets (a(More)
We present an algorithm for segmenting unrestricted Japanese text that is able to detect up to 98% of the words in a corpus. The segmentation technique, which is simple and extremely fast, does not depend on a lexicon or any formal notion of what a word is in Japanese, and the training procedure does not require annotated text of any kind. Relying almost(More)
Ambiguity and the Computational Feasibility of Syntax Acquisition by William Gregory Sakas Advisor: Professor Virginia Teller The thesis presents a framework that can be used for empirical and formal analysis of parameter setting models of language acquisition. Such models attempt to mirror computationally the process by which children acquire the grammar(More)
This is a preliminary statement of the hypothesis that syntax in speech may act as an "incidental stimulus" in the communication of mental contents which the speaker is motivated both to conceal and to express. Ten clinical examples, taken from verbatim transcripts of one psychoanalyst's interventions in a recorded case, illustrate the expression of(More)
As part of a project to develop a Japanese-English machine translation system for technical texts within a limited domain, we conducted a study to investigate the roles that sublanguage techniques (Harris, 1968) and operatorargument grammar (Harris, 1982) would play in the analysis and transfer stages of the system. The data consisted of fifty sentences(More)
We report on a project to develop a stochastic lexical analyzer for Japanese and to compare the accuracy of this approach with the results obtained using conventional rule-based methods. In contrast with standard, knowledge intensive methods, the stochastic approach to lexical analysis uses statistical techniques that are based on probabilistic models. This(More)
The author's purpose is threefold: first, to demonstrate the redundancy in the events of the complex life of a patient as told to a psychoanalyst; second, to show two novel ways to represent those events simply; and third, to suggest that the field of psychoanalysis, under assault from philosophers of science and hermeneuticists alike for either not being(More)