[PDF] Top 20 Attention based Multimodal Neural Machine Translation

... that those regional visual attributes would assist LSTM to generate better and more accurate repre- sentations. The illustration of the proposed model is depicted in 3. We will first explain how to deter- mine multiple ... See full document

... interpreting neural models has been extensively studied in computer vision (Si- monyan et ...in translation quality especially for longer sen- tence ...The attention mechanism provides a weighted ... See full document

... the translation perfor- ...of Attention In order to evaluate whether the proposed model is able to capture phrase patterns or not, we visualize the attention layers in the encoder 2 ...pay ... See full document

... Hierarchical Attention model is almost equivalent to Miculicich et ...sparse attention at both the sentence and word-level, we looked at the attention weights computed by ...correct ... See full document

... through an attention procedure (Section 2.2). As originally described, the RNNG predicts parser transitions using a one-layer tanh percep- tron with three concatenated inputs: the last state of a unidirectional ... See full document

... multi-hop attention for the Transformer. It refines the attention for an output symbol by integrating that of each head, and consists of two ...hop attention is the scaled dot-product ... See full document

... recurrent neural net- work (RNN) (Schuster and Paliwal, 1997) to con- sider preceding and following words jointly, these sequential representations are insufficient to fully capture the semantics of a sentence, ... See full document

... selection based on BLEU scores, so that if a model does not improve on the valida- tion set for more than 20 epochs, training is ...models’ translation qual- ity quantitatively in terms of BLEU4 (Papineni ... See full document

... Neural machine translation (NMT) models have recently been shown to be very successful in machine translation ...in machine translation has significantly improved the ... See full document

... a neural machine translation (NMT) with a key-value at- tention mechanism on the source-side en- ...key-value attention mechanism separates the source-side content vector into two types of ... See full document

... Neural machine translation (NMT) is a new ap- proach to machine translation that has shown promising results compared to the existing ap- proaches such as phrase-based ... See full document

... in neural machine translation, one great improvement came from using an array of vectors to represent the source in a sentence- level memory and dynamically accessing relevant segments of them ... See full document

... space based Unsupervised NMT A few works (Lample et ...with neural machine translation without using parallel corpora, ...matching translation in the other ...word translation ... See full document

... using attention-based bidirectional LSTMs (aRNN) trained on a new large dataset created from paired long and short image ...Phrase-based Machine Translation system (Moses) and a Human ... See full document

... framework based on support vector ...word- based and character-based models for Japanese and Chinese ...statistical machine translation ...natural machine thansla- tion method to ... See full document

... of neural machine translation ...self- attention which is supposed to allow the model to independently attend to information from different representation ...different attention heads ... See full document

... several machine learning ...using machine learning ...a translation memory tool which worked as a sub- system in their transfer-based MT ...their machine learning model which classifies ... See full document

... the attention mechanism provides NMT models with a boost in performance, it also significantly increases the computational bur- ...the attention model has to compute the alignment weights for all the ... See full document

... maximum attention weight is not pointing to the word being ...of attention weights as alignment replacement non-trivial (Chatterjee et ...multiple attention components for each of the stacked de- ... See full document

... three translation tasks: Machine Translation of News, Biomedical Translation, and Multimodal Machine Translation, two evaluation tasks: Metrics and Quality Estimation, as ... See full document