Papers Unsupervised Machine Translation
“Unsupervised Machine Translation” 태그가 달린 논문 105편 · 필터 해제
Phrase-Based & Neural Unsupervised Machine Translation
Machine translation systems achieve near human-level performance on some languages, yet their effectiveness strongly relies on the availability of large amounts of parallel sentences, which hinders their applicability to…
Machine TranslationNMTSentenceTranslation+1Generative Models for Alignment and Data Efficiency in Language
We examine how learning from unaligned data can improve both the data efficiency of supervised tasks as well as enable alignments without any supervision. For example, consider unsupervised machine translation: the input…
DeciphermentMachine TranslationTranslationUnsupervised Machine TranslationUnsupervised Machine Translation Using Monolingual Corpora Only
Machine translation has recently achieved impressive performance thanks to recent advances in deep learning and the availability of large-scale parallel corpora. There have been numerous attempts to extend these successe…
Machine TranslationSentenceTranslationUnsupervised Machine TranslationUnsupervised Neural Machine Translation
In spite of the recent success of neural machine translation (NMT) in standard benchmarks, the lack of large parallel corpora poses a major practical problem for many language pairs. There have been several proposals to …
DecoderMachine TranslationNMTTranslation+1Word Translation Without Parallel Data
State-of-the-art methods for learning cross-lingual word embeddings have relied on bilingual dictionaries or parallel corpora. Recent studies showed that the need for parallel data supervision can be alleviated with char…
Cross-Lingual Word EmbeddingsMachine TranslationTranslationUnsupervised Machine Translation+3