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)
1. The research project * Our research group has built a research environment for testing models of syntactic parameter setting. We have created a domain of 3,072 languages with up to 1,432 sentences in each, defined by a set of Universal Grammar (UG) rules and 13 (so far) binary parameters. The languages resemble human languages in many respects, though(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)
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 of their native language. Research into formal language learning theory standardly focuses on issues of learnability – Under(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 operator-argument grammar (Harris, 1982) would play in the analysis and transfer stages of the system. The data consisted of fifty sentences(More)
Hunter College teaches introductory AI as a one semester, advanced undergraduate elective that focuses on issues in three areas: state-space search and control, knowledge representation, and Lisp. The search component defines AI methodology and conveys how the computing world views the field; knowledge representation illustrates how AI sees the real world;(More)