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 …

Abstract The Cross-Language Evaluation Forum has encouraged research in text retrieval
methods for numerous European languages and has developed durable test suites that …

Parallel texts (bitexts) have properties that distinguish them from other kinds of parallel data.
First, most words translate to only one other word. Second, bitext correspondence is typically …

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 …

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

Biomimetic, or biologically inspired, design uses analogous biological phenomena to
develop solutions for engineering problems. Several instances of biomimetic design result …

In the past several years, Arabic Information Retrieval (IR) has garnered significant attention.
The main research interests have focused on retrieval of formal language, mostly in the …

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 …

We introduce Smart Shuffling, a cross-lingual embedding (CLE) method that draws from
statistical word alignment approaches to leverage dictionaries, producing dense …