The fast growth of communication technology has brought nations and their cultures closer
together, and the demand for cross-language communication has risen tremendously. There …

It is very challenging to work with low resource languages pairs as monolingual and parallel
dataset do not exist or exist in a very small amount. Furthermore, there is a lack of …

Learning to Rank (LTR) techniques use machine learning to rank documents. In this paper,
we propose a new LTR based framework for cross-language information retrieval (CLIR) …

Learning machine translation by using only monolingual data sets is a complex task as there
are many possible ways to connect or associate target sentences with source sentences …

The development of the internet has seen an explosion in the amount of information, which
has increased the scope of queries for users but greatly increased the difficulty of searching …

Abstract Evaluation is important part of our system development cycle; it also contributes to
improving new machine translation (MT) technology optimum via comparing them with the …

Cross-lingual document retrieval, which aims to take a query in one language to retrieve
relevant documents in another, has attracted strong research interest in the last decades …

In order to facilitate communication and communication, this paper studies the optimization
of the current computer-aided translation system, and proposed a design method of English …

This research explores the implementation of Cross-Lingual Information Retrieval (CLIR)
systems to improve resource accessibility in the context of English language learning. The …

The bilingual dictionary is a vital data resource for machine translation and cross-language
information retrieval research. Uyghur language has rich derivative forms, in which words …