[PDF] Top 20 Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation

... to model long-distance depen- dency has been handicapping SMT for ...between translation rules. In this paper, we introduce a novel recurrent neural network based rule ... See full document

... the translation output of a phrase-based SMT system is concatenation of phrases from the phrase table, whose probabilities can be calculated by ...CSLM. Based on this obser- vation, a novel ... See full document

... Yaser Al-Onaizan and Kishore Papineni. 2006. Dis- tortion models for statistical machine translation. In Proceedings of the 21st International Conference on Computational Linguistics and the 44th ... See full document

... models based on Moses, a statistical Machine Translation system, and a sequence-to-sequence neural network, trained on a paraphrase datasets with respect to their ... See full document

... The neural HMM has been successfully applied in the literature on top of conventional phrase- based systems (Wang et ...the model is used to gener- ate and score candidates without assistance from a ... See full document

... adaptation based on the native language (L1) of writers, despite the marked influences of L1 on second lan- guage (L2) ...a neural network joint model (NNJM) using L1-specific learner text and ... See full document

... syntax-based model is that the syntax information has the poten- tial to model the structure reordering and discontigu- ous corresponding by the intrinsic structural gener- alization ...non-syntactic ... See full document

... of statistical machine translation performed with phrase based approaches can be increased by permuting the words in the source sentences in an order which resem- bles that of the target ...of ... See full document

... cal machine translation (SMT) is to choose the appropriate translation rules based on the sentence ...space rule selection (CSRS) model for syntax-based SMT to perform ... See full document

... TensorFlow uses a single data flow chart to represent all calculations and states in an automatic learning algorithm, which includes individual mathematical operations, parameters and their update rules, and preprocess ... See full document

... prior neural network-based translation models either employ feed-forward neural networks to ex- plicitly integrate source information via word-to-word alignment, or use recurrent ... See full document

... of statistical models for translitera- tion have already been proposed in the past few decades, we proposed some neu- ral network based deep learning architec- tures for the transliteration of named ... See full document

... labelling. Recurrent neural networks are leveraged to learn language model, and they keep the history information circularly inside the network for arbitrarily long time (Mikolov et ... See full document

... Table 3 summarizes the main results of our experiment. In Table 3, “SRC tokens / sec” indicates the number of source tokens processed in one second. This is a standard measure for evaluating training speed; it is also ... See full document

... Moreover, most of the recent studies (Ying et al. 2018; Niepert et al. 2016; Zhang et al. 2018; Duvenaud et al. 2015; Li et al. 2015b) focus on Graph Neural Networks (GNNs) to investigate the graph representation ... See full document

... (2017). Based on the performance on the ja-en dev set we decode the plain text systems with a beam size of 4 and OSNMT with a beam size of 8 using our SGNMT decoder (Stahlberg et ... See full document

... inter-lingua based English–Hindi machine translation ...Hindi translation using a rule-based ...English-Hindi rule-based translation tools proposed in (Sinha ... See full document

... We carry out experiment on Chinese-English NIST evaluation tasks. We use FBIS corpus (250K sentence pairs) as training data with the source side parsed by a modified Charniak parser (Charniak 2000) which can output a ... See full document

... human translation for example, is its partly repetitive ...same machine translation system is handled by multiple post-editors, then the opportunities for factoring corrections become much more ...in ... See full document

... automatic, statistical learning procedure, typically the HIDDEN MARKOV ...of statistical models is they must take priori modeling assumptions which are liable to be inaccurate, handicapping the system ... See full document