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 …
P Prettenhofer, B Stein - Proceedings of the 48th annual meeting …, 2010 - aclanthology.org
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 …
S Sun, K Duh - Proceedings of the 2020 Conference on Empirical …, 2020 - aclanthology.org
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 …
JS McCarley - Proceedings of the 37th Annual Meeting of the …, 1999 - aclanthology.org
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 …
P Sorg, P Cimiano - Data & Knowledge Engineering, 2012 - Elsevier
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 …
J Xu, R Weischedel, C Nguyen - … of the 24th annual international ACM …, 2001 - dl.acm.org
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 …