… graphs into document-level neural machine translation. • We investigate several relations
between words to construct document graphs … Given a dependency tree of the sentence and a …

… dependencies into the attention-based encoder-decoder model for machine translation by
using Graph … graphs and leveraging their structural information. Our GCNs use the syntactic …

… We implemented the above approach for a Chinese-English machine translation system. We
… phrasal structure trees to dependency trees to acquire the parallel dependency trees. The …

… I design a metataxis system for machine translation with a particular machine translation …
of dependency syntax and of metataxis will be useful for those interested in translation between …

… be used in constructing hypothesis dependency tree, such as neural network method. Third,
we will apply DPF to tuning of machine translation in order to improve quality of translation. …

… require the graphs to be trees. However, in this work we solely focus on dependency syntax
… • we show that incorporating structure is beneficial for machine translation on EnglishCzech …

… a single graphic (or phonetic) form. Consider for instance the word'book'. Its translation into
… a verb, so that in the first case it has to be translated as' livre'and in the second one, as 'louer'. …

… 6 indicates that RGSE-based system outperforms others when tackling long sentences,
verifying our assumption that the graph nodes with recurrent dependencies can better represent …

… tactic dependency structure for better machine translation, … ) for machine translation, we
incrementally build dependency … of non-projective dependency parsing remains quadratic as the …

… -range dependencies and … graphs and human-defined dependencies, we parsed the
sentences on the development data of the WSJ corpus and converted the graphs into dependency …