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20172023
most citedText Compression-aided Transformer Encoding

51 citations · 92 across the 15 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.CL2018

NICT's Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task

Rui Wang, Benjamin Marie, Masao Utiyama +1

This paper presents the NICT's participation in the WMT18 shared parallel corpus filtering task. The organizers provided 1 billion words German-English corpus crawled from the web…

cs.CL2018

NICT's Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task

Benjamin Marie, Rui Wang, Atsushi Fujita +2

This paper presents the NICT's participation to the WMT18 shared news translation task. We participated in the eight translation directions of four language pairs: Estonian-English…

cs.CL2018

Exploring Recombination for Efficient Decoding of Neural Machine Translation

Zhisong Zhang, Rui Wang, Masao Utiyama +2

In Neural Machine Translation (NMT), the decoder can capture the features of the entire prediction history with neural connections and representations. This means that partial hypo…

cs.CL2018

Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation

Rui Wang, Masao Utiyama, Eiichiro Sumita

Traditional Neural machine translation (NMT) involves a fixed training procedure where each sentence is sampled once during each epoch. In reality, some sentences are well-learned…

cs.CL2018

Guiding Neural Machine Translation with Retrieved Translation Pieces

Jingyi Zhang, Masao Utiyama, Eiichro Sumita +2

One of the difficulties of neural machine translation (NMT) is the recall and appropriate translation of low-frequency words or phrases. In this paper, we propose a simple, fast, a…

cs.CL2018

CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++

Xiaolin Wang, Masao Utiyama, Eiichiro Sumita

This paper presents an open-source neural machine translation toolkit named CytonMT (https://github.com/arthurxlw/cytonMt). The toolkit is built from scratch only using C++ and NVI…