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Unsupervised Machine Translation

8 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

Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring

WS 2019

This paper describes CAiRE's submission to the unsupervised machine translation track of the WMT'19 news shared task from German to Czech.

LANGUAGE MODELLING UNSUPERVISED MACHINE TRANSLATION

Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring

WS 2019

This paper describes CAiRE{'}s submission to the unsupervised machine translation track of the WMT{'}19 news shared task from German to Czech.

LANGUAGE MODELLING UNSUPERVISED MACHINE TRANSLATION

The LMU Munich Unsupervised Machine Translation System for WMT19

WS 2019

We describe LMU Munich{'}s machine translation system for German→Czech translation which was used to participate in the WMT19 shared task on unsupervised news translation.

DENOISING LANGUAGE MODELLING UNSUPERVISED MACHINE TRANSLATION WORD EMBEDDINGS

Bilingual Lexicon Induction through Unsupervised Machine Translation

ACL 2019

A recent research line has obtained strong results on bilingual lexicon induction by aligning independently trained word embeddings in two languages and using the resulting cross-lingual embeddings to induce word translation pairs through nearest neighbor or related retrieval methods.

LANGUAGE MODELLING UNSUPERVISED MACHINE TRANSLATION WORD ALIGNMENT WORD EMBEDDINGS

An Effective Approach to Unsupervised Machine Translation

ACL 2019

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

Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation

ACL 2019

Given a rough, word-by-word gloss of a source language sentence, target language natives can uncover the latent, fully-fluent rendering of the translation.

UNSUPERVISED MACHINE TRANSLATION

Unsupervised Joint Training of Bilingual Word Embeddings

ACL 2019

State-of-the-art methods for unsupervised bilingual word embeddings (BWE) train a mapping function that maps pre-trained monolingual word embeddings into a bilingual space.

UNSUPERVISED MACHINE TRANSLATION WORD EMBEDDINGS

Bilingual Lexicon Induction through Unsupervised Machine Translation

ACL 2019

A recent research line has obtained strong results on bilingual lexicon induction by aligning independently trained word embeddings in two languages and using the resulting cross-lingual embeddings to induce word translation pairs through nearest neighbor or related retrieval methods.

LANGUAGE MODELLING UNSUPERVISED MACHINE TRANSLATION WORD ALIGNMENT WORD EMBEDDINGS

Generalized Data Augmentation for Low-Resource Translation

ACL 2019

In this paper, we propose a general framework of data augmentation for low-resource machine translation not only using target-side monolingual data, but also by pivoting through a related high-resource language.

DATA AUGMENTATION UNSUPERVISED MACHINE TRANSLATION