[PDF] Top 20 Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation
Has 10000 "Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation" found on our website. Below are the top 20 most common "Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation".
Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation
... 2013, neural network based bilingual word embedding (BWE) has been applied to several natural language processing tasks (Mikolov et ...Several unsupervised BWE (UBWE) methods (Conneau ... See full document
11
Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models
... multilingual word embeddings on the word align- ment ...each word in the 1000 source words, we ex- tracted the 5 most similar words from the 1000 target words and checked how often the correct ... See full document
12
Unsupervised Neural Machine Translation with Weight Sharing
... the word embeddings are used as a rein- forced encoding component in our ...cross-language translation, we utilize the back- translation following (Lample et ... See full document
10
Phrase Based & Neural Unsupervised Machine Translation
... performing word-by-word translation with an inferred bilingual ...incorrect translation (blue cross near the empty ...(back) translation, we use the target → source model ... See full document
11
Shared Private Bilingual Word Embeddings for Neural Machine Translation
... Word embedding is central to neural machine translation (NMT), which has attracted inten- sive research interest in recent ...source embedding plays the role of the entrance ... See full document
10
Unsupervised Neural Machine Translation with SMT as Posterior Regularization
... real bilingual corpus available, unsupervised Neu- ral Machine Translation (NMT) typically requires pseudo parallel data generated with the back-translation method for the model ... See full document
8
Bilingual Lexicon Induction through Unsupervised Machine Translation
... While BLI has been previously tackled us- ing count-based vector space models (Vuli´c and Moens, 2013) and statistical decipherment (Ravi and Knight, 2011; Dou and Knight, 2012), these methods have recently been ... See full document
6
Unsupervised Extraction of Partial Translations for Neural Machine Translation
... in unsupervised learning of bilingual word ...that unsupervised bilingual word embeddings are still far from being useful for truly low-resource and distant language ... See full document
11
On the Limitations of Unsupervised Bilingual Dictionary Induction
... pervised machine translation (MT) ...ial, unsupervised alignment of word em- bedding spaces for bilingual dictionary in- duction (Conneau et ...current unsupervised MT: un- ... See full document
11
Multi Domain Neural Machine Translation through Unsupervised Adaptation
... sentence word by word into a sequence of hidden states; then, an- other recurrent neural network decodes the source hidden sequence into the target ...target word from the last target ... See full document
11
Unsupervised Source Hierarchies for Low Resource Neural Machine Translation
... to neural machine translation has used super- vised ...source word representations by extracting infor- mation from the dependency tree; a convolutional encoder was then applied to the ... See full document
7
Unsupervised Word Segmentation Improves Dialectal Arabic to English Machine Translation
... The inconsistency in the orthographic spelling of the same word can increase data sparseness. Thus, we normalize the Arabic text in the collected re- sources by applying the reduced orthographic nor- malization ... See full document
10
Factored Translation with Unsupervised Word Clusters
... The results are shown in tables 3a and 3b. On average (across language paris), 51% test set sen- tences contain at least 1 unknown word. Contrary to what might be expected, the factorisation seems to be most ... See full document
5
Unsupervised Paraphrasing without Translation
... supervised translation (parallel bilin- gual data is used), unsupervised translation (non- parallel corpora in two languages are used) and monolingual (only unlabeled data in the para- phrasing ... See full document
7
An Effective Approach to Unsupervised Machine Translation
... While machine translation has traditionally re- lied on large amounts of parallel corpora, a re- cent research line has managed to train both Neural Machine Translation (NMT) and Sta- ... See full document
10
Unsupervised Discriminative Induction of Synchronous Grammar for Machine Translation
... side word alignments for each ...contain word level information. Here, we associate each word pair with a fine-grained boolean ...by word translation probabilities output by ...Although ... See full document
16
Supervised and Nonlinear Alignment of Two Embedding Spaces for Dictionary Induction in Low Resourced Languages
... The contributions of this work are three-fold. First, we introduce a noise tolerant form of Gener- alized Procrustes (GP) which corrects for rotation, geometrical translation 1 and dilation. Second, we adapt an ... See full document
10
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation
... Neural machine translation (NMT) using sequence to sequence architectures (Sutskever et al., 2014; Bahdanau et al., 2014; Vaswani et al., 2017) has become the dominant approach to automatic ma- chine ... See full document
6
Unsupervised Statistical Machine Translation
... In order to overcome these limitations, we pro- pose an iterative refinement procedure based on backtranslation (Sennrich et al., 2016). More con- cretely, we generate a synthetic parallel corpus by translating the ... See full document
11
Unsupervised Adaptation for Statistical Machine Translation
... the bilingual data, and then use the target side of the filtered bilingual data to perform LM ...automatic translation for adaptation, which is shown in our experiments to achieve superior results ... See full document
9
Related subjects