Abstract Grapheme-to-phoneme (g2p) models are rarely available in low-resource
languages, as the creation of training and evaluation data is expensive and time-consuming …

Transliteration is very important in the Indian language context due to the usage of multiple
scripts and the widespread use of romanized inputs. However, few training and evaluation …

We analyze some of the fundamental design challenges that impact the development of a
multilingual state-of-the-art named entity transliteration system, including curating bilingual …

There has been substantial recent interest in aligning mentions of named entities in
unstructured texts to knowledge base descriptors, a task commonly called entity linking. This …

In this paper, we propose that MT is an important technology in crisis events, something that
can and should be an integral part of a rapid-response infrastructure. By integrating MT …

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 …

Prior research into learning translations from source and target language monolingual texts
has treated the task as an unsupervised learning problem. Although many techniques take …

We use bilingual lexicon induction techniques, which learn translations from monolingual
texts in two languages, to build an end-to-end statistical machine translation (SMT) system …

We present a machine translation engine that can translate romanized Arabic, often known
as Arabizi, into English. With such a system we can, for the first time, translate the massive …

Generating the English transliteration of a name written in a foreign script is an important
and challenging step in multilingual knowledge acquisition and information extraction …