| Abstract | This report reviews the present state of the artin selection of texts in one language based on queries in another, a
problem we refer to as ``multilingual'' text retrieval. Present
applications of multilingual text retrieval systems are limited by the
cost and complexity of developing and using the multilingual thesauri
on which they are based and by the level of user training that is
required to achieve satisfactory search effectiveness. A general
model for multilingual text retrieval is used to review the
development of the field and to describe modern production and
experimental systems. The report concludes with some observations on
the present state of the art and an extensive bibliography of the
technical literature on multilingual text retrieval. The research
reported herein was supported, in part, by Army Research
Office contract DAAL03-91-C-0034 through Battelle Corporation, NSF NYI
IRI-9357731, Alfred P. Sloan Research Fellow Award BR3336, and a
General Research Board Semester Award.
(Also cross-referenced as UMIACS-TR-96-19)
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