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Language modeling is the attempt to characterize, capture and exploit regularities in natural language. In statistical language modeling, large amounts of text are used to automatically determine the model's parameters. Language modeling is useful in automatic speech recognition, machine translation, and any other application that processes natural language(More)
This paper studies the eeective use of information retrieval and machine learning techniques in a new task, event detection and tracking. The objective is to automatically detect novel events from chronologically-ordered streams of news stories, and track events of interest over time. We extended existing supervised learning and unsupervised clustering(More)
Topic Detection and Tracking (TDT) is a DARPA-sponsored initiative to investigate the state of the art in finding and following new events in a stream of broadcast news stories. The TDT problem consists of three major tasks: (1) segmenting a stream of data, especially recognized speech, into distinct stories; (2) identifying those news stories that are the(More)
The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the oocial policies, either expressed or implied, of any other parties. Abstract Planning, the process of nding a course of action which can be executed to achieve some goal, is an important and well-studied area of AI. One of the(More)
Context-Based Machine Translation™ (CBMT) is a new paradigm for corpus-based translation that requires no parallel text. Instead, CBMT relies on a lightweight translation model utilizing a full-form bilingual dictionary and a sophisticated decoder using long-range context via long n-grams and cascaded overlapping. The translation process is enhanced via(More)
Acknowledgments I wish to express my greatest thanks to my advisor, John Lafferty. John's excellent guidance has been absolutely essential for the completion of this thesis. From the very beginning, he has treated me as a peer and a friend, and given me the right amount of freedom and guidance. It has been such a joy to work with him. Over the years, I have(More)
The views and conclusions contained in this document are those of the author and should not be interpreted as representing the official policies, either expressed or implied, of any sponsoring institution, DARPA, the U.S. government, or any other entity. Abstract Corpus based approaches to automatic translation such as Example Based and Statistical Machine(More)
MOTIVATION An important aspect of infectious disease research involves understanding the differences and commonalities in the infection mechanisms underlying various diseases. Systems biology-based approaches study infectious diseases by analyzing the interactions between the host species and the pathogen organisms. This work aims to combine the knowledge(More)