Web contains a vast amount of data, which are accumulated, studied, and utilized by a huge
number of users on a daily basis. A substantial amount of data on the Web is available in an …

Cross-language information retrieval (CLIR) is an active sub-domain of information retrieval
(IR). Like IR, CLIR is centered on the search for documents and for information contained …

We present a new approach to crosslanguage text classification that builds on structural
correspondence learning, a recently proposed theory for domain adaptation. The approach …

Because of the world wide web, information retrieval systems are now used by millions of
untrained users all over the world. The search engines that perform the information retrieval …

We present CLIRMatrix, a massively large collection of bilingual and multilingual datasets
for Cross-Lingual Information Retrieval extracted automatically from Wikipedia. CLIRMatrix …

This paper is a survey of the current machine translation research in the US, Europe and
Japan. A short history of machine translation is presented first, followed by an overview of …

Previous comparisons of document and query translation suffered difficulty due to differing
quality of machine translation in these two opposite directions. We avoid this difficulty by …

In this article we show how Wikipedia as a multilingual knowledge resource can be
exploited for Cross-Language and Multilingual Information Retrieval (CLIR/MLIR). We …

This work proposes and evaluates a probabilistic cross-lingual retrieval system. The system
uses a generative model to estimate the probability that a document in one language is …

INTRODUCTION This survey of the present demand and use of computer-based translation
software concentrates on systems designed for the production of translations of publishable …