[PDF] Top 20 Interactive Attention for Neural Machine Translation
Has 10000 "Interactive Attention for Neural Machine Translation" found on our website. Below are the top 20 most common "Interactive Attention for Neural Machine Translation".
Interactive Attention for Neural Machine Translation
... conventional attention model is conducted on the representation of source sentence (fixed af- ter generated) only with reading operation (Bahdanau et ...past attention information, and lead to ... See full document
12
Incorporating Word Reordering Knowledge into Attention based Neural Machine Translation
... the attention mechanism. To remit the computing cost of the attention mecha- nism when dealing with long sentences, Lu- ong et ...the attention mechanism and obtained improvements across several ... See full document
11
Hindi-English Neural Machine Translation Using Attention Model
... al. [42] developed a shallow parser for Hindi using conditional random fields. Gupta et al. [43] showed the use of machine learning approached in developing NLP applications. Gupta et al. [44] used fuzzy ... See full document
5
Interactive Predictive Neural Machine Translation through Reinforcement and Imitation
... presented neural interactive translation prediction — a translation scenario where transla- tors interact with an NMT system by accepting or correcting subsequent target tokens suggested by ... See full document
11
Active Learning for Interactive Neural Machine Translation of Data Streams
... The translation industry is a high-demand ...basis. Machine translation (MT) techniques greatly boost the productivity of the translation agencies (Arenas, ... See full document
10
Towards Neural Machine Translation with Latent Tree Attention
... the neural network (Pollack, 1990; Goller and K¨uchler, 1996; Socher et ...described neural network mod- els take the second approach and treat hierarchi- cal structure as a latent variable, applying ... See full document
5
Target Foresight Based Attention for Neural Machine Translation
... an attention based neural network for image caption task and ad- vance the state-of-the-art results; Yin et ...the attention structure between a pair of convolution networks for answer se- lection, ... See full document
11
Selective Attention for Context aware Neural Machine Translation
... Sparse Attention Sparse attention and its con- strained variants have been used to address the coverage problem in NMT (Malaviya et ...of attention that each source word can ...sparse ... See full document
11
Look Harder: A Neural Machine Translation Model with Hard Attention
... based Neural Machine Trans- lation (NMT) models have achieved promis- ing results on several translation ...sequence translation. Due to the discrete nature of the hard-attention ... See full document
7
A Multi Hop Attention for RNN based Neural Machine Translation
... of neural ma- chine translation models, the invention of the Transformer model is one of the most important ...based neural machine translation ...multi-hop attention mechanism. ... See full document
8
A study of attention based neural machine translation model on Indian languages
... Neural machine translation models attempt to optimize p(e|f ) directly by including feature extraction using a single neural ...entire translation process is done using an ... See full document
10
Domain Adaptation and Attention Based Unknown Word Replacement in Chinese to Japanese Neural Machine Translation
... To inspect the results of the attention-based unknown word replacement method, we manually checked the translated sentences of the development data. In the translated sentences in our best result by the method ... See full document
9
A Neural Attention Model for Abstractive Sentence Summarization
... We have presented a neural attention-based model for abstractive summarization, based on recent de- velopments in neural machine translation. We combine this probabilistic model with a ... See full document
11
A Visual Attention Grounding Neural Model for Multimodal Machine Translation
... gual shared space through optimization of a mod- ified pairwise contrastive function, where the ex- tra multilingual signal in the shared space leads to improvements in image-sentence ranking and se- mantic textual ... See full document
11
Mixed Multi Head Self Attention for Neural Machine Translation
... ent attention heads indeed capture different fea- tures (Li et ...self- attention, in which lacking capacity to capture lo- cal information (Luong et ... See full document
9
Effective Approaches to Attention based Neural Machine Translation
... global attention approach gives a significant boost of ...local attention model with predictive alignments (row local-p) proves to be even better, giving us a further improve- ment of ... See full document
10
What does Attention in Neural Machine Translation Pay Attention to?
... in translation quality arguing that the atten- tion model has learned to better align source and target ...training attention using traditional alignments has also been pro- posed by others (Chen et ...and ... See full document
10
Sparse and Constrained Attention for Neural Machine Translation
... different attention transformations for a toy example with three source ...the attention values on the probability ...cumulative attention each word has ...cumulative attention for the three ... See full document
7
Attention based Multimodal Neural Machine Translation
... the translation performance as the length of source sentences ...proposed attention-based model that combine global, attending to all source words, and local, only focusing on a part of source words, ... See full document
7
INMT: Interactive Neural Machine Translation Prediction
... teractive translation system between English and five Indic languages (Bengali, Hindi, Malayalam, Tamil and Telugu) using state-of-the-art NMT ...the translation suggestions in real ...available ... See full document
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