… corpora. In this work, we investigate how to leverage abundant monolingual corpora for neural
machine translation. … scores over the neural machine translation baselines, respectively. …

… the availability of large-scale parallel corpora. There have been numerous … translate even
without any parallel data. We propose a model that takes sentences from monolingual corpora …

… translation dictionary and/or in-domain monolingual corpora (… ined on the out-of-domain
corpora. Thus, our method uses … domain monolingual corpora improves the translation quality …

… output quality of an English-Persian machine translation system. Although the basic idea
of lexical disambiguation by means of monolingual corpora in the present work is an adoptive …

… machine translation. The method of using synthetic parallel texts, in which target monolingual
corpora are automatically translated into … using target monolingual corpora by generating …

… METIS is an innovative approach to Statistical Machine Translation (SMT) in that it relies on
monolingual corpora only (as far as we can ascertain, all known SMT systems rely on bitexts)…

… They show how simple statistical data can be automatically drawn from monolingual
corpora for usage within an RBMT system. The main engine for translation remains the RBMT …

… through back-translation - a tech… -translation, comparing alternative uses of monolingual
data, as well as multiple data generation procedures. Our findings confirm that back-translation …

… machine translation (NMT) system to both translate sourcelanguage text and copy target-language
text, thereby exploiting monolingual cor… a bitext from the monolingual text in the target …

… monolingual corpora can be used: our approach can benefit NMT not only using target
monolingual corpora … find that exploiting monolingual corpora dramatically improves translation …