Abstract Machine translation is shifting to an end-to-end approach based on deep neural
networks. The state of the art achieves impressive results for popular language pairs such as …

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Bilingual corpora play an important role as resources not only for machine translation
research and development but also for studying tasks in comparative linguistics. Manual …

Bilingual corpora are critical resources for machine translation research and development
since parallel corpora contain translation equivalences of various granularities. Manual …

Machine translation is one of the most challenging topics in natural language processing.
The common approaches to machine translation base on either statistical or rule-based …

In this paper, we describe an attempt at constructing a bidirectional English-Vietnamese
statistical machine translation system using MOSES, an open-source toolkit for statistical …

Large-scale parallel corpus has become a reliable resource to cross the language barriers
between the user and the web. These parallel texts provide the primary training material for …

A corpus, especially a parallel corpus, which contains both source and target language, is
an important resource in Natural Language Processing (NLP) research, particularly in …

Network coding (NC) is an efficient way to decline the retransmission and provides a reliable
connection in the wireless multicast network. However, in the NC schemes based on XOR, if …

In this paper, we present a new approach for extracting the high quality (HQ) parallel
corpora from multilingual resources. The original of our research compared to the previous …