Thesis (M.S.)--Brigham Young University. Dept. of Computer Science, 2008. / Includes bibliographical references (p. 43-45).

Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, March 2005. / Thesis Advisor(s): James F Ehlert. Includes bibliographical references (p. 65-66). Also available online.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1981. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 128-129).

Introduced in 1993, the IBM translation models were the first generation Statistical Machine Translation systems. For the IBM Models, only IBM Model 1 is a convex optimization problem, meaning that we can initialize all its probabilistic parameters to uniform values and subsequently converge to a good solution via Expectation Maximization (EM). In this thesis we discuss a mechanism to generate an infinite supply of nontrivial convex relaxations for IBM Model 2 and detail an Exponentiated Subgradient algorithm to solve them. We also detail some interesting relaxations that admit and easy EM algorithm that does not require the tuning of a learning rate. Based on the geometric mean of two variables, this last set of convex models can be seamlessly integrated into the open-source GIZA++ word-alignment library. Finally, we also show other applications of the method, including a more powerful strictly convex IBM Model 1, and a convex HMM surrogate that improves on the performance of the previous convex IBM Model 2 variants.

Thesis (M.A.)--York University, 2005. Graduate Programme in Translation. / Typescript. Includes bibliographical references (leaves 88-94). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url%5Fver=Z39.88-2004&res%5Fdat=xri:pqdiss &rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR11831

University of Macau / Faculty of Arts and Humanities. / Department of English

Approved for public release, distribution is unlimited / This thesis presents Concept of Operations (CONOPS) for two specific automated language translation (ALT) devices, the P2 Phraselator and the Voice Response Translator (VRT). The CONOPS for each device are written as Appendix A and Appendix B respectively. The body of the thesis presents a broad introduction to the present state of ALT technology for the reader who is new to the general subject. It pursues this goal by introducing the human language translation problem followed by nine characteristic descriptors of ALT technology devices to provide a basic comparison framework of existing technologies. The premise is that ALT technology is presently in a state where it is tackled incrementally with various approaches. Two tables are provided that illustrate six commercially available devices using the descriptors. A scenario is then described in which the author observed the two subject ALT devices (depicted in the CONOPS in the Appendices) being employed within an international military exercise. Some unique human observations associated with the use of these devices in the exercise are discussed. A summary is provided of the Department of Defense (DOD) process that is exploring ALT technology devices, specifically the Language and Speech Exploitation Resources (LASER) Advanced Concept Technology Demonstration ACTD. / Lieutenant Commander, United States Navy