Abstract

We present an attempt at a coherent vision of an end-to-end translingual information retrieval system. We begin by presenting a sample of the broad range of possibilities, and the results of some initial work comparing the different approaches. We then present an overall workstation architecture, followed by two possible approaches to the actual translingual IR stage presented in detail. Ranking retrieved documents, query-relevant summarization, assimilation of retrieved information, and system evaluation are all discussed in turn. Introduction: Beyond Traditional Information Retrieval Traditional information retrieval (IR) offers a suite of very useful technologies, such as inverted key-word files, word-weighting methods including TF-IDF, precision and recall metrics, vector-space document modeling, relevance feedback, controlled-vocabulary indexing of text collections, and so on. Traditional IR technologies, however, have significant limitations, among others the following: ffl Te...

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