Cross-lingual document alignment aims to identify pairs of documents in two distinct
languages that are of comparable content or translations of each other. In this paper, we …

A distributed system is described that reliably mines parallel text from large corpora. The
approach can be regarded as cross-language near-duplicate detection, enabled by an …

In the past several years, Arabic Information Retrieval (IR) has garnered significant attention.
The main research interests have focused on retrieval of formal language, mostly in the …

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 …

Grapheme-to-phoneme models are key components in automatic speech recognition and
text-to-speech systems. With low-resource language pairs that do not have available and …

Document alignment aims to identify pairs of documents in two distinct languages that are of
comparable content or translations of each other. Such aligned data can be used for a …

Users of the WWW across the globe are increasing rapidly. According to Internet live stats
there are more than 3 billion Internet users worldwide today and the number of non-English …

This report documents the details of the Transliteration Mining Shared Task that was run as
a part of the Named Entities Workshop (NEWS 2010), an ACL 2010 workshop. The shared …

Grapheme-to-phoneme models are key components in automatic speech recognition and
text-to-speech systems. With low-resource language pairs that do not have available and …

Today, parallel corpus-based systems dominate the transliteration landscape. But the
resource-scarce languages do not enjoy the luxury of large parallel transliteration corpus …