Background Electronic medical record (EMR) systems have become widely used throughout
the world to improve the quality of healthcare and the efficiency of hospital services. A …

This paper proposes a novel method for lexicon extraction that extracts translation pairs from
comparable corpora by using graphbased label propagation. In previous work, it was …

We propose a new approach to identifying semantically similar words across languages.
The approach is based on an idea that two words in different languages are similar if they …

Ubiquitous computing studies ways to integrate technology into people's everyday life. It is
an area that has been growing in recent years, primarily because of the development of …

Topic models have been successfully applied in lexicon extraction. However, most previous
methods are limited to document-aligned data. In this paper, we try to address two …

Automatically compiling bilingual dictionaries of technical terms from comparable corpora is
a challenging problem, yet with many potential applications. In this paper, we exploit two …

We describe a machine learning approach, a Random Forest (RF) classifier, that is used to
automatically compile bilingual dictionaries of technical terms from comparable corpora. We …

We propose a novel associative approach for bilingual word lexicon extraction (BLE) from
parallel corpora that relies on the paradigm of data reduction instead of data augmentation …

Existing dictionaries may be effectively enlarged by finding the translations of single words,
using comparable corpora. The idea is based on the assumption that similar words have …

Bilingual dictionaries can be automatically extended by new translations using comparable
corpora. The general idea is based on the assumption that similar words have similar …