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 …

Learning to rank (LTR), as a machine learning technique for ranking tasks, has become one
of the most popular research topics in the area of information retrieval (IR). Cross-lingual …

Comparable corpora are key translation resources for both languages and domains with
limited linguistic resources. The existing approaches for building comparable corpora are …

Most of query translation disambiguation approaches rely on a parallel corpus to resolve the
translation ambiguity. This is because parallel corpus are good resources for resolving …

There have been multiple attempts to resolve various inflection matching problems in
information retrieval. Stemming is a common approach to this end. Among many techniques …

In the current multilingual environment of the web, authors contribute through a variety of
languages. Therefor retrieving a number of specialists, who have publications in different …

Abstract Bilingual Lexicon Induction (BLI) aims at inducing word translations in two distinct
languages. The generated bilingual dictionaries via BLI are essential for cross-lingual NLP …

Ordinal regression which is known with learning to rank has long been used in information
retrieval (IR). Learning to rank algorithms, have been tailored in document ranking …

Low-dimensional word vectors have long been used in a wide range of applications in
natural language processing. In this paper we shed light on estimating query vectors in ad …