Papers Unsupervised Machine Translation
“Unsupervised Machine Translation” 태그가 달린 논문 105편 · 필터 해제
A Call for More Rigor in Unsupervised Cross-lingual Learning
We review motivations, definition, approaches, and methodology for unsupervised cross-lingual learning and call for a more rigorous position in each of them. An existing rationale for such research is based on the lack o…
Cross-Lingual Word EmbeddingsMachine TranslationPositionTranslation+2Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders
Text simplification (TS) rephrases long sentences into simplified variants while preserving inherent semantics. Traditional sequence-to-sequence models heavily rely on the quantity and quality of parallel sentences, whic…
DenoisingLanguage ModelingLanguage ModellingMachine Translation+4When Does Unsupervised Machine Translation Work?
Despite the reported success of unsupervised machine translation (MT), the field has yet to examine the conditions under which these methods succeed, and where they fail. We conduct an extensive empirical evaluation of u…
Machine TranslationTranslationUnsupervised Machine TranslationDo all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation
Back-translation provides a simple yet effective approach to exploit monolingual corpora in Neural Machine Translation (NMT). Its iterative variant, where two opposite NMT models are jointly trained by alternately using …
AllMachine TranslationNMTTranslation+1Incorporating BERT into Neural Machine Translation
The recently proposed BERT has shown great power on a variety of natural language understanding tasks, such as text classification, reading comprehension, etc. However, how to effectively apply BERT to neural machine tra…
DecoderMachine TranslationNatural Language UnderstandingNMT+5A Probabilistic Formulation of Unsupervised Text Style Transfer
We present a deep generative model for unsupervised text style transfer that unifies previously proposed non-generative techniques. Our probabilistic approach models non-parallel data from two domains as a partially obse…
DeciphermentLanguage ModellingMachine TranslationStyle Transfer+5A Multilingual View of Unsupervised Machine Translation
We present a probabilistic framework for multilingual neural machine translation that encompasses supervised and unsupervised setups, focusing on unsupervised translation. In addition to studying the vanilla case where t…
Machine TranslationTranslationUnsupervised Machine TranslationUnsupervised Multilingual Alignment using Wasserstein Barycenter
We study unsupervised multilingual alignment, the problem of finding word-to-word translations between multiple languages without using any parallel data. One popular strategy is to reduce multilingual alignment to the m…
AllMachine TranslationTranslationUnsupervised Machine Translation+1Multilingual Denoising Pre-training for Neural Machine Translation
This paper demonstrates that multilingual denoising pre-training produces significant performance gains across a wide variety of machine translation (MT) tasks. We present mBART -- a sequence-to-sequence denoising auto-e…
DecoderDenoisingMachine TranslationSentence+2Comparing Unsupervised Word Translation Methods Step by Step
Cross-lingual word vector space alignment is the task of mapping the vocabularies of two languages into a shared semantic space, which can be used for dictionary induction, unsupervised machine translation, and transfer …
Machine TranslationTransfer LearningTranslationUnsupervised Machine Translation+1Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English
This paper presents the NICT{'}s supervised and unsupervised machine translation systems for the WAT2019 Myanmar-English and Khmer-English translation tasks. For all the translation directions, we built state-of-the-art …
Machine TranslationNMTTranslationUnsupervised Machine TranslationMachine Translation With Weakly Paired Documents
Neural machine translation, which achieves near human-level performance in some languages, strongly relies on the large amounts of parallel sentences, which hinders its applicability to low-resource language pairs. Recen…
Machine TranslationSentenceTranslationUnsupervised Machine TranslationStudy on Unsupervised Statistical Machine Translation for Backtranslation
Machine Translation systems have drastically improved over the years for several language pairs. Monolingual data is often used to generate synthetic sentences to augment the training data which has shown to improve the …
Machine TranslationTranslationUnsupervised Machine TranslationGenerating Classical Chinese Poems from Vernacular Chinese
Classical Chinese poetry is a jewel in the treasure house of Chinese culture. Previous poem generation models only allow users to employ keywords to interfere the meaning of generated poems, leaving the dominion of gener…
Cultural Vocal Bursts Intensity PredictionMachine TranslationReinforcement LearningReinforcement Learning (RL)+2Explicit Cross-lingual Pre-training for Unsupervised Machine Translation
Pre-training has proven to be effective in unsupervised machine translation due to its ability to model deep context information in cross-lingual scenarios. However, the cross-lingual information obtained from shared BPE…
DecoderLanguage ModelingLanguage ModellingMachine Translation+2Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
This paper describes CAiRE's submission to the unsupervised machine translation track of the WMT'19 news shared task from German to Czech. We leverage a phrase-based statistical machine translation (PBSMT) model and a pr…
Language ModelingLanguage ModellingMachine TranslationNMT+2NICT's Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task
This paper presents the NICT{'}s participation in the WMT19 unsupervised news translation task. We participated in the unsupervised translation direction: German-Czech. Our primary submission to the task is the result of…
Machine TranslationTranslationUnsupervised Machine TranslationThe LMU Munich Unsupervised Machine Translation System for WMT19
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. We train our model using monolingual data only…
DenoisingLanguage ModelingLanguage ModellingMachine Translation+3Bilingual Lexicon Induction through Unsupervised Machine Translation
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 transla…
Bilingual Lexicon InductionLanguage ModelingLanguage ModellingMachine Translation+6Unsupervised Joint Training of Bilingual Word Embeddings
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. Despite its remarkable results, unsupervised ma…
Machine TranslationTranslationUnsupervised Machine TranslationWord Embeddings