Probabilistic topic models are unsupervised generative models which model document
content as a two-step generation process, that is, documents are observed as mixtures of …

Cross-lingual representations of words enable us to reason about word meaning in
multilingual contexts and are a key facilitator of cross-lingual transfer when developing …

Terminology extraction is an essential task in domain knowledge acquisition, as well as for
information retrieval. It is also a mandatory first step aimed at building/enriching …

We propose a simple yet effective approach to learning bilingual word embeddings (BWEs)
from non-parallel document-aligned data (based on the omnipresent skip-gram model), and …

We propose a new model for learning bilingual word representations from nonparallel
document-aligned data. Following the recent advances in word representation learning, our …

The majority of natural language processing (NLP) is English language processing, and
while there is good language technology support for (standard varieties of) English, support …

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 …

Bilingual lexicon induction is the task of inducing word translations from monolingual
corpora in two languages. In this article we present the most comprehensive analysis of …

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 …

We present a new language pair agnostic approach to inducing bilingual vector spaces from
non-parallel data without any other resource in a bootstrapping fashion. The paper …