Parallel corpora are a valuable resource for machine translation, but at present their
availability and utility is limited by genre-and domain-specificity, licensing restrictions, and …

Abstract STRAND (Resnik, 1998) is a languageindependent system for automatic discovery
of text in parallel translation on the World Wide Web. This paper extends the preliminary …

Parallel corpora have become an essential resource for work in multilingual natural
language processing. In this article, we report on our work using the STRAND system for …

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 …

This paper proposes a novel method for exploiting comparable documents to generate
parallel data for machine translation. First, each source document is paired to each sentence …

We describe a set of techniques that have been developed while collecting parallel texts for
Russian-English language pair and building a corpus of parallel sentences for training a …

As the demand for global information increases significantly, multilingual corpora has
become a valuable linguistic resource for applications to cross‐lingual information retrieval …

Parallel corpus are valuable resource for machine translation, multi-lingual text retrieval,
language education and other applications, but for various reasons, its availability is very …

This book lays out the theory and the practical techniques for discovering and applying
translational equivalence at the lexical level. Parallel texts (bitexts) are a goldmine of …

We report on methods to create the largest publicly available parallel corpora by crawling
the web, using open source software. We empirically compare alternative methods and …