activity
20172023
most citedXNMT: The eXtensible Neural Machine Translation Toolkit

55 citations · 99 across the 13 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CL2018★ 2 cited

Paraphrases as Foreign Languages in Multilingual Neural Machine Translation

Zhong Zhou, Matthias Sperber, Alex Waibel

Paraphrases, the rewordings of the same semantic meaning, are useful for improving generalization and translation. However, prior works only explore paraphrases at the word or phra…

cs.CL2018★ 5 cited

Low-Latency Neural Speech Translation

Jan Niehues, Ngoc-Quan Pham, Thanh-Le Ha +2

Through the development of neural machine translation, the quality of machine translation systems has been improved significantly. By exploiting advancements in deep learning, syst…

cs.CL2018★ 1 cited

Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation

Zhong Zhou, Matthias Sperber, Alex Waibel

We work on translation from rich-resource languages to low-resource languages. The main challenges we identify are the lack of low-resource language data, effective methods for cro…

cs.CL2018

Self-Attentional Acoustic Models

Matthias Sperber, Jan Niehues, Graham Neubig +2

Self-attention is a method of encoding sequences of vectors by relating these vectors to each-other based on pairwise similarities. These models have recently shown promising resul…

cs.CL2018★ 55 cited

XNMT: The eXtensible Neural Machine Translation Toolkit

Graham Neubig, Matthias Sperber, Xinyi Wang +10

This paper describes XNMT, the eXtensible Neural Machine Translation toolkit. XNMT distin- guishes itself from other open-source NMT toolkits by its focus on modular code design, w…