Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …

Parallel corpora can be defined as collections of aligned, translated texts of two or more
languages. They play a major role in translation and contrastive studies, and are also …

This paper presents a fast and accurate parallel sentence mining algorithm for comparable
corpora called LEXACC based on the Cross-Language Information Retrieval framework …

Comparable corpora can benefit the development of Neural Machine Translation models, in
particular for under-resourced languages. We present a case study centred on the …

Parallel data are an important part of a reliable Statistical Machine Translation (SMT)
system. The more of these data are available, the better the quality of the SMT system …

We propose a new method for extracting pseudo-parallel sentences from a pair of large
monolingual corpora, without relying on any document-level information. Our method first …

Lack of sufficient parallel data for many languages and domains is currently one of the major
obstacles to further advancement of automated translation. The ACCURAT project is …

Parallel corpora are crucial for statistical machine translation (SMT); however, they are quite
scarce for most language pairs and domains. As comparable corpora are far more available …

Parallel corpora are not available for all domains and languages, but statistical methods in
multilingual research domains require huge parallel/comparable corpora. Comparable …

In this paper, we describe the development of an English-Amharic parallel corpus and
Machine Translation (MT) experiments conducted on it. Two different tests have been …