Statistical language models have recently been successfully applied to many information
retrieval problems. A great deal of recent work has shown that statistical language models …

This work focuses on sign language retrieval--a recently proposed task for sign language
understanding. Sign language retrieval consists of two sub-tasks: text-to-sign-video (T2V) …

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 …

Search for information is no longer exclusively limited within the native language of the user,
but is more and more extended to other languages. This gives rise to the problem of cross …

Previous work on text mining has almost exclusively focused on a single stream. However,
we often have available multiple text streams indexed by the same set of time points (called …

We propose a formal model of Cross-Language Information Retrieval that does not rely on
either query translation or document translation. Our approach leverages recent advances in …

We give a unified account of the probabilistic semantics underlying the language modeling
approach and the traditional probabilistic model for information retrieval, showing that the …

A modern information retrieval system must have the capability to find, organize and present
very different manifestations of information–such as text, pictures, videos or database …

Although more and more language pairs are covered by machine translation (MT) services,
there are still many pairs that lack translation resources. Cross-language information …

We systematically investigate a new approach to estimating the parameters of language
models for information retrieval, called parsimonious language models. Parsimonious …