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Computer Science PDF Available Non-peer-reviewed Preprint

Cross-language Information Retrieval

Petra Galuscakova, Douglas W. Oard, Suraj Nair  ·  Published 2021-11-10

Abstract

Two key assumptions shape the usual view of ranked retrieval: (1) that the searcher can choose words for their query that might appear in the documents that they wish to see, and (2) that ranking retrieved documents will suffice because the searcher will be able to recognize those which they wished to find. When the documents to be searched are in a language not known by the searcher, neither assumption is true. In such cases, Cross-Language Information Retrieval (CLIR) is needed. This chapter reviews the state of the art for CLIR and outlines some open research questions.
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