Multilingual information retrieval (MLIR) considers the problem of ranking documents in
several languages for a query expressed in a language that may differ from any of those …

Providing access to information across languages has been a goal of Information Retrieval
(IR) for decades. While progress has been made on Cross Language IR (CLIR) where …

Recent work in cross-language information retrieval (CLIR), where queries and documents
are in different languages, has shown the benefit of the Translate-Distill framework that …

The rapid demand of information access on internet has created the possibility of retrieving
documents in multiple languages. This is even possible if majority of the people are not …

Social media has become almost ubiquitous in present times. Such proliferation leads to
automatic information processing need and has various challenges. The nature of social …

Retrieving accurate information from collection of information available on web in a cross-
lingual communication environment is a very difficult task in our world. In order to retrieve …

This chapter aims to master web mining and Information Retrieval (IR) in the digital age, thus
describing the overviews of web mining and web usage mining; the significance of web …

Query translation in cross-language information retrieval (CLIR) can be done by employing
dictionaries, aligned corpora, or machine translators. Scarcity of aligned corpora for various …

Purpose This paper aims to understand user information behaviours when they perform
multilingual information retrieval. It also offers reference for the development of multilingual …

We present Multi-EuP, a new multilingual benchmark dataset, comprising 22K multi-lingual
documents collected from the European Parliament, spanning 24 languages. This dataset is …