Papers Unsupervised Machine Translation
“Unsupervised Machine Translation” 태그가 달린 논문 105편 · 필터 해제
Cycle-Consistent Search: Question Reconstructability as a Proxy Reward for Search Agent Training
Reinforcement Learning (RL) has shown strong potential for optimizing search agents in complex information retrieval tasks. However, existing approaches predominantly rely on gold supervision, such as ground-truth answer…
Unsupervised Machine TranslationImage-to-Image TranslationReinforcement LearningInformation RetrievalEnsemble Self-Training for Unsupervised Machine Translation
We present an ensemble-driven self-training framework for unsupervised neural machine translation (UNMT). Starting from a primary language pair, we train multiple UNMT models that share the same translation task but diff…
Unsupervised Machine TranslationPositive-Unlabelled Active Learning to Curate a Dataset for Orca Resident Interpretation
This work presents the largest curation of Southern Resident Killer Whale (SRKW) acoustic data to date, also containing other marine mammals in their environment. We systematically search all available public archival hy…
Unsupervised Machine TranslationActive LearningEffective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs
Large Language Models (LLMs) have demonstrated impressive performance on a wide range of natural language processing (NLP) tasks, primarily through in-context learning (ICL). In ICL, the LLM is provided with examples tha…
In-Context LearningMachine TranslationTranslationUnsupervised Machine TranslationDecoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages
Multilingual neural machine translation systems learn to map sentences of different languages into a common representation space. Intuitively, with a growing number of seen languages the encoder sentence representation g…
Cross-Lingual Word EmbeddingsMachine TranslationSentenceTranslation+2The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translation
Unsupervised on-the-fly back-translation, in conjunction with multilingual pretraining, is the dominant method for unsupervised neural machine translation. Theoretically, however, the method should not work in general. W…
Machine TranslationTranslationUnsupervised Machine TranslationQuick Back-Translation for Unsupervised Machine Translation
The field of unsupervised machine translation has seen significant advancement from the marriage of the Transformer and the back-translation algorithm. The Transformer is a powerful generative model, and back-translation…
DecoderMachine TranslationTranslationUnsupervised Machine TranslationWeakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages
Exploiting cognates for transfer learning in under-resourced languages is an exciting opportunity for language understanding tasks, including unsupervised machine translation, named entity recognition and information ret…
Information RetrievalMachine Translationnamed-entity-recognitionNamed Entity Recognition+2Boosting Unsupervised Machine Translation with Pseudo-Parallel Data
Even with the latest developments in deep learning and large-scale language modeling, the task of machine translation (MT) of low-resource languages remains a challenge. Neural MT systems can be trained in an unsupervise…
Language ModelingLanguage ModellingMachine TranslationSentence+2Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation
Neural machine translation (NMT) has progressed rapidly over the past several years, and modern models are able to achieve relatively high quality using only monolingual text data, an approach dubbed Unsupervised Machine…
Data AugmentationMachine TranslationNMTTranslation+1Unsupervised Mandarin-Cantonese Machine Translation
Advancements in unsupervised machine translation have enabled the development of machine translation systems that can translate between languages for which there is not an abundance of parallel data available. We explore…
Machine TranslationTranslationUnsupervised Machine TranslationOn the Role of Parallel Data in Cross-lingual Transfer Learning
While prior work has established that the use of parallel data is conducive for cross-lingual learning, it is unclear if the improvements come from the data itself, or if it is the modeling of parallel interactions that …
Cross-Lingual TransferMachine TranslationTransfer LearningTranslation+1Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning
Cross-lingual transfer learning without labeled target language data or parallel text has been surprisingly effective in zero-shot cross-lingual classification, question answering, unsupervised machine translation, etc. …
Bilingual Lexicon InductionCross-Lingual TransferMachine TranslationQuestion Answering+4A Theory of Unsupervised Translation Motivated by Understanding Animal Communication
Neural networks are capable of translating between languages -- in some cases even between two languages where there is little or no access to parallel translations, in what is known as Unsupervised Machine Translation (…
Machine TranslationTranslationUnsupervised Machine TranslationDomain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning
Cross-lingual transfer learning without labeled target language data or parallel text has been surprisingly effective in zero-shot cross-lingual classification, question answering, unsupervised machine translation, etc. …
Bilingual Lexicon InductionCross-Lingual TransferMachine TranslationQuestion Answering+4Unsupervised Machine Translation in Real-World Scenarios
In this work, we present the work that has been carried on in the MT4All CEF project and the resources that it has generated by leveraging recent research carried out in the field of unsupervised learning. In the course …
Machine TranslationTranslationUnsupervised Machine TranslationCUNI Submission to MT4All Shared Task
This paper describes our submission to the MT4All Shared Task in unsupervised machine translation from English to Ukrainian, Kazakh and Georgian in the legal domain. In addition to the standard pipeline for unsupervised …
DenoisingMachine TranslationTranslationUnsupervised Machine TranslationRefining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Model
Numerous recent work on unsupervised machine translation (UMT) implies that competent unsupervised translations of low-resource and unrelated languages, such as Nepali or Sinhala, are only possible if the model is traine…
DisentanglementMachine TranslationTranslationUnsupervised Machine TranslationQiuNiu: A Chinese Lyrics Generation System with Passage-Level Input
Lyrics generation has been a very popular application of natural language generation. Previous works mainly focused on generating lyrics based on a couple of attributes or keywords, rendering very limited control over th…
Machine TranslationText GenerationUnsupervised Machine TranslationFlow-Adapter Architecture for Unsupervised Machine Translation
In this work, we propose a flow-adapter architecture for unsupervised NMT. It leverages normalizing flows to explicitly model the distributions of sentence-level latent representations, which are subsequently used in con…
Machine TranslationNMTSentenceTranslation+1