The dream of automatic language translation is now closer thanks to recent advances in the
techniques that underpin statistical machine translation. This class-tested textbook from an …

Language barriers between patients and clinicians contribute to disparities in quality of care.
Machine Translation (MT) tools are widely used in healthcare settings, but even small …

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

Software localization is the process of adapting a software product to the linguistic, cultural
and technical requirements of a target market. It allows software companies to access …

OBJECTIVE: Access to the vast body of research literature that is available in biomedicine
and related fields may be improved by automatic summarisation. This paper presents a …

Multiword expressions (MWEs) have been proved useful for many natural language
processing tasks. However, how to use them to improve performance of statistical machine …

Objective We investigate machine translation (MT) of user search queries in the context of
cross-lingual information retrieval (IR) in the medical domain. The main focus is on …

This paper describes the development and results of Manipuri-English machine translation
system built on an intelligence domain. Manipuri is an under-resourced Tibeto-Burman …

Medical terminologies resources and standards play vital roles in clinical data exchanges,
enabling significantly the services' interoperability within healthcare national information …

Data preprocessing plays a crucial role in phrase-based statistical machine translation (PB-
SMT). In this paper, we show how single-tokenization of two types of multi-word expressions …