[PDF] Top 20 Towards String To Tree Neural Machine Translation
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Towards String To Tree Neural Machine Translation
... Table 1: BLEU results for the WMT16 experiment Results As shown in Table 1, for the resource-rich setting, the single models (bpe2bpe, bpe2tree) per- form similarly in terms of BLEU on newstest2015. On newstest2016 we ... See full document
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A Tree based Decoder for Neural Machine Translation
... Fig. 1 illustrates the generation process of the sentence “_The _cat _eat s _fi sh _.”, where the sentence is split into subword units, de- limited by the underscore “_” (Sennrich et al., 2016). The example uses a ... See full document
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Adjoining Tree to String Translation
... improve machine translation. Synchronous tree adjoining grammars (TAG) (Shieber and Schabes, 1990) are a good ...formal tree rewriting system, TAG (Joshi et ...on tree pairs. The idea ... See full document
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Modeling Selectional Preferences of Verbs and Nouns in String to Tree Machine Translation
... From a syntactic perspective, a correct predicate-argument structure will have the sub-categorization frame of the predicate filled in. Weller et al. (2013) use sub-categorization information to improve case-prediction ... See full document
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Rule Selection with Soft Syntactic Features for String to Tree Statistical Machine Translation
... a string-to- tree ...for string-to-tree machine transla- ...archical machine translation, Liu et al. (2008) to tree-to-string systems and Zhai et ...a ... See full document
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Travatar: A Forest to String Machine Translation Engine based on Tree Transducers
... open-source tree-to-string or forest-to-string trans- lation system that can be used as a tool for transla- tion using source-side syntax, and as a platform for research into syntax-based ... See full document
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String to Dependency Statistical Machine Translation
... hierarchical string-to-dependency translation model that exploits a dependency LM while decoding (as opposed to during reranking n-best output)to score alternative translations based on their structural ... See full document
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Efficient Incremental Decoding for Tree to String Translation
... Most efforts in statistical machine translation so far are variants of either phrase-based or syntax-based models. From a theoretical point of view, phrase- based models are neither expressive nor ... See full document
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Natural Languages Analysis in Machine Translation (MT) Based on the STCG (String-Tree Correspondence Grammar)
... ... See full document
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Generation of Synthes Is Programs in Robra (Ariane) From String Tree Correspondence Grammars (Or a Strategy for Synthesis in Machine Translation)
... GENERATION OF SYNTHES IS PROGRAMS IN ROBRA (ARIANE) FROM STRING TREE CORRESPONDENCE GRAMMARS (or a Strategy for Synthesis in Machine Translation) GENERATI ON OF SYNTHES I S PROGRA MS I N #OBRJ, (ARIAN[.] ... See full document
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Reordering Model for Forest to String Machine Translation
... In this section, we describe the process of ap- plying the reordering model scores. We score pairwise translation reorderings for every pair of source words similarly as described by Huang et al. (2013). In their ... See full document
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Rule Markov Models for Fast Tree to String Translation
... statistical machine translation systems rely on composed rules (rules that can be formed out of smaller rules in the ...improves translation by weakening independence assumptions in the ... See full document
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Towards Neural Machine Translation with Latent Tree Attention
... the translation, which are likely generated because the model can- not condition future attention directly on past at- tention weights (the “input feeding” approach in- troduced by Luong et ... See full document
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Tree to String Alignment Template for Statistical Machine Translation
... than tree-to-tree models. Similarly to (Galley et al., 2004), the tree-to-string alignment templates discussed in this paper are actually transformation ...target string while Galley’s ... See full document
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On the Elements of an Accurate Tree to String Machine Translation System
... Based on these results we draw three conclu- sions. The first is that given the very competitive results presented here, T2S systems do seem to have the potential to achieve high accuracy, even when compared to strong ... See full document
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A Tree to String Phrase based Model for Statistical Machine Translation
... high translation quality, it still lacks of generaliza- tion ability to capture word order differences between ...for tree-to-string phrase- based ...English-Vietnamese translation showed a ... See full document
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Semantic Roles for String to Tree Machine Translation
... We experiment with adding semantic role information to a string-to-tree machine translation system based on the rule ex- traction procedure of Galley et al. (2004). We compare methods based on ... See full document
5
Tree to Sequence Attentional Neural Machine Translation
... Machine Translation (MT) has traditionally been one of the most complex language processing problems, but recent advances of Neural Machine Translation (NMT) make it possible to perform ... See full document
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User expectations towards machine translation: A case study
... Neural machine translation (NMT) sys- tems have emerged as powerful platforms for providing fluent translations in a vari- ety of languages and ...of machine translation has been ... See full document
7
Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques
... To study gender bias, we have developed an ad- ditional test set with custom sentences to evaluate the quality of the translation in the models. We built this test set using a sentence pattern “I’ve known {her, ... See full document
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