We describe the neural machine translation system of New York University (NYU) and University of Montreal (MILA) for the translation tasks of WMT’16. The main goal of NYU-MILA submission to WMT’16 is to evaluate a new character-level decoding approach in neural machine translation on various language pairs. The proposed neural machine translation system is an attention-based encoder–decoder wit...

Word sense disambiguation is necessary in translation because different word senses often have different translations. Neural machine translation models learn different senses of words as part of an end-to-end translation task, and their capability to perform word sense disambiguation has so far not been quantified. We exploit the fact that neural translation models can score arbitrary translat...

The authors of (Cho et al., 2014a) have shown that the recently introduced neural network translation systems suffer from a significant drop in translation quality when translating long sentences, unlike existing phrase-based translation systems. In this paper, we propose a way to address this issue by automatically segmenting an input sentence into phrases that can be easily translated by the ...

In this article we investigate the translation of terms from English into German and vice versa in the isolation of an ontology vocabulary. For this study we built new domainspecific resources from the translation search engine Linguee and from the online encyclopedia Wikipedia. We learned that a domainspecific resource produces better results than a bigger, but more general one. The first find...

The interest in statistical machine translation systems increases currently due to political and social events in the world. A proposed Statistical Machine Translation (SMT) based model that can be used to translate a sentence from the source Language (English) to the target language (Arabic) automatically through efficiently incorporating different statistical and Natural Language Processing (...

ENGLISH-LITHUANIAN-ENGLISH MACHINE TRANSLATION LEXICON AND ENGINE: CURRENT STATE AND FUTURE WORK Gintaras Barisevi ius, Bronius Tamulynas Kaunas University of Technology This article overviews the current state of the English-Lithuanian-English machine translation system. The first part of the article describes the problems that system poses today and what actions will be taken to solve them in...

A method for evaluating MT performance embedded in Cross-Language Instant Messaging (CLIM) systems is presented. A web interface that provided concurrent realtime translation for instant messaging from multiple MT services was developed and used by paid participants to collaborate on a photo identification task. The method showed a task performance benefit due to the availability of multiple tr...

In this paper, we propose a framework for combining outputs from multiple on-line machine translation systems. This framework consists of several modules, including selection, substitution, insertion, and deletion. We evaluate the combination framework on IWSLT07 in travel domain, for the translation direction from Chinese to English. Three different on-line machine translation systems, Google,...