Add to ORKGThe 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 ad-dress this issue by automatically segment-ing an input sentence into phrases that can be easily translated by the neural network translation model. Once each segment has been independently translated by the neu-ral machine translation model, the trans-lated clauses are concatenated to form a final translation. Empirical results show a significant improvement in translation quality for long sentences.
Phrase-based machine translation assumes that all words are at the same distance and translates them...
Humans benefit from communication but suffer from language barriers. Machine translation (MT) aims t...
With economic globalization and the rapid development of the Internet, the connections between diffe...
The authors of (Cho et al., 2014a) have shown that the recently introduced neural network translatio...
Machine translation, the task of automatically translating text from one natural language into anoth...
The recent advances introduced by neural machine translation (NMT) are rapidly expanding the applica...
After more than a decade of phrase-based systems dominating the scene of machine translation, neural...
We explore the application of neural language models to machine translation. We develop a new model ...
Neural machine translation often suffers from an under-translation problem owing to its limited mode...
We explore the application of neural language models to machine translation. We develop a new model ...
In recent years, sequence-to-sequence learning neural networks with attention mechanism have achieve...
The quality of translations produced by statistical machine translation (SMT) systems crucially depe...
In interactive machine translation (MT), human translators correct errors in automatic translations ...
This article explores the use of automatic sentence simplification as a preprocessing step in neural...
Neural machine translation (NMT) conducts end-to-end translation with a source language encoder and ...
Phrase-based machine translation assumes that all words are at the same distance and translates them...
Humans benefit from communication but suffer from language barriers. Machine translation (MT) aims t...
With economic globalization and the rapid development of the Internet, the connections between diffe...
The authors of (Cho et al., 2014a) have shown that the recently introduced neural network translatio...
Machine translation, the task of automatically translating text from one natural language into anoth...
The recent advances introduced by neural machine translation (NMT) are rapidly expanding the applica...
After more than a decade of phrase-based systems dominating the scene of machine translation, neural...
We explore the application of neural language models to machine translation. We develop a new model ...
Neural machine translation often suffers from an under-translation problem owing to its limited mode...
We explore the application of neural language models to machine translation. We develop a new model ...
In recent years, sequence-to-sequence learning neural networks with attention mechanism have achieve...
The quality of translations produced by statistical machine translation (SMT) systems crucially depe...
In interactive machine translation (MT), human translators correct errors in automatic translations ...
This article explores the use of automatic sentence simplification as a preprocessing step in neural...
Neural machine translation (NMT) conducts end-to-end translation with a source language encoder and ...
Phrase-based machine translation assumes that all words are at the same distance and translates them...
Humans benefit from communication but suffer from language barriers. Machine translation (MT) aims t...
With economic globalization and the rapid development of the Internet, the connections between diffe...