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Unsupervised Machine Translation

7 papers with code · Natural Language Processing
Subtask of Machine Translation

Unsupervised machine translation is the task of doing machine translation without any translation resources at training time.

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Latest papers without code

An Effective Approach to Unsupervised Machine Translation

4 Feb 2019Mikel Artetxe et al

While machine translation has traditionally relied on large amounts of parallel corpora, a recent research line has managed to train both Neural Machine Translation (NMT) and Statistical Machine Translation (SMT) systems using monolingual corpora only.

UNSUPERVISED MACHINE TRANSLATION

04 Feb 2019

Off-the-Shelf Unsupervised NMT

6 Nov 2018Chris Hokamp et al

We frame unsupervised machine translation (MT) in the context of multi-task learning (MTL), combining insights from both directions.

MULTI-TASK LEARNING UNSUPERVISED MACHINE TRANSLATION

06 Nov 2018

Unsupervised Neural Machine Translation Initialized by Unsupervised Statistical Machine Translation

30 Oct 2018Benjamin Marie et al

In this work, we propose to define unsupervised NMT (UNMT) as NMT trained with the supervision of synthetic bilingual data.

UNSUPERVISED MACHINE TRANSLATION

30 Oct 2018

Style Transfer as Unsupervised Machine Translation

23 Aug 2018Zhirui Zhang et al

Language style transferring rephrases text with specific stylistic attributes while preserving the original attribute-independent content.

STYLE TRANSFER UNSUPERVISED MACHINE TRANSLATION

23 Aug 2018

On the Limitations of Unsupervised Bilingual Dictionary Induction

ACL 2018 Anders Søgaard et al

Unsupervised machine translation---i.e., not assuming any cross-lingual supervision signal, whether a dictionary, translations, or comparable corpora---seems impossible, but nevertheless, Lample et al. (2018) recently proposed a fully unsupervised machine translation (MT) model.

GRAPH SIMILARITY UNSUPERVISED MACHINE TRANSLATION

09 May 2018