The relative ineffectiveness of information retrieval systems is largely caused by the
inaccuracy with which a query formed by a few keywords models the actual user information …

With the ever increasing size of the web, relevant information extraction on the Internet with
a query formed by a few keywords has become a big challenge. Query Expansion (QE) …

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

The advent of transformer-based models such as BERT has led to the rise of neural ranking
models. These models have improved the effectiveness of retrieval systems well beyond that …

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 …

Abstract Information Retrieval (IR) systems assist users in finding information from the
myriad of information resources available on the Web. A traditional characteristic of IR …

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 …

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 …

We address the problem of transliterating English names using Chinese orthography in
support of cross-lingual speech and text processing applications. We demonstrate the …

This article deals with the problem of Cross-Lingual Text Categorization (CLTC), which
arises when documents in different languages must be classified according to the same …