[PDF] Top 20 Character based Decoding in Tree to Sequence Attention based Neural Machine Translation

... the character-based models correctly translated the source word “micro” with the characters “ ”, while the word-based decoder requires the unknown replacement (Luong et ...highest attention ... See full document

... of neural ma- chine translation models, the invention of the Transformer model is one of the most important ...RNN- based neural machine translation ...convolutional ... See full document

... the translation history and then integrates it into the attention ...the attention history and Sankaran et ...the attention model. In addition, Zhang et al. (2017) improve the attention ... See full document

... for neural machine translation (NMT), and improve results by eliminating hyper-parameters and manual fea- ture ...standard sequence-to-sequence architectures of sufficient depth, and ... See full document

... gives translation examples of our reranking method from the English-to-Chinese ...correct translation for “hypophy- sectomized” is “去(remove) 垂 体(hypophysis)” as shown in the reference ...rect ... See full document

... To understand how beam search decoder selects and discards intermediate hypothesis, we first plot all hypotheses as a tree (Figure 2, 3). For each in- put token (word or sub-word) and decoder (RNN) state vector, ... See full document

... Parameters are updated by Mini-batch Gra- dient Descent and the learning rate is con- trolled by the AdaDelta (Zeiler, 2012) algorith- m with decay constant ρ = 0.95 and denomi- nator constant ϵ = 1e − 6. The batch size ... See full document

... of machine translation, pairing a recurrent neural net- work grammar encoder with a novel atten- tional RNNG decoder and applying pol- icy gradient reinforcement learning to in- duce unsupervised ... See full document

... in neural net- works for machine translation, seq2seq models with attention representing input as a sequence of characters (Hasan et ...with neural machine trans- lation, ... See full document

... 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

... dictionary-guided translation on two ...alignment-based decoding while maintain- ing translation ...constrained decoding settings, where the user demands specific translation of ... See full document

... state-of-the-art attention-based NMT, by using images as words in the source sen- tence, to initialise the encoder’s hidden state and as additional data in the initialisation of the de- coder’s hidden ... See full document

... The sequence-to-sequence model treats a sen- tence as a sequence of ...recurrent neural net- work (RNN) (Schuster and Paliwal, 1997) to con- sider preceding and following words jointly, these ... See full document

... conventional attention mechanism, and Local Attention (Luong et ...puts attention on a fixed-size win- ...the attention model cannot simply look at a local range constantly and trans- late ... See full document

... using attention scores in the ANMT models can be an alternative to using alignment tools (Jean et ...in translation tasks where characters and words are shared across different ...results based on ... See full document

... French-to-English translation task, and the tech- nique has also proven effective in translation tasks between other European language pairs (Luong et ...are based on sequential ...of ... See full document

... Together with different findings that will be dis- cussed in the next sections, there are two main contributions in this paper. We redesigned and tuned the NMT framework for translating into MRLs. It is quite challenging ... See full document

... the attention-based encoder-decoder ...tional neural networks (R-CNN) (Girshick et ...multimodal attention-based NMT in Section 3, followed by re-scoring of the translation can- ... See full document

... standard decoding process of seq2seq models, ...dependency tree structures and is not trivially applicable to other varieties of trees such as phrase-structure trees, which have been used more widely in ... See full document

... the neural MT baseline system from (Bahdanau et ...the character- based neural language model (Kim et ...The translation unit continues to be the word, and we continue using word ... See full document