[PDF] Top 20 Dependency Forest for Statistical Machine Translation

... 1-best dependency trees or dependency ...and dependency lan- guage model both learned from 1-best depen- dency ...and dependency language models obtained from de- pendency forests improves ... See full document

... allowed dependency struc- tures are useful to retain rational bilingual ...3-gram dependency LMs, the DepBTG system outperforms the MEBTG system in almost all ...the dependency LMs are more effective ... See full document

... There are two possible directions to extend the present work. The first one would be to refine the current method to reduce its sensitivity to POS tag- ging or dependency parse errors, and to extend our linguistic ... See full document

... rule-based translation solves the machine translation problem in a more divided scheme, where the processing procedures of analysis, structural transfer and language generation are modeled ...a ... See full document

... The main focus of research on compound split- ting has been on the splitting algorithm (Popovic et al., 2006; Nießen and Ney, 2000; Weller et al., 2014; Macherey et al., 2011). Our focus is not the splitting algorithm, ... See full document

... Chinese-to-English translation, we use the parallel data from NIST Open Machine Translation Evaluation ...tri-gram dependency LM on the English dependency structures of the training ... See full document

... the dependency parsing) drops the results because of the sparseness effect over the dataset, which is consistent with the automatic evaluation BLEU ...online translation service provided by ...reference ... See full document

... a translation rule by exploiting the fine-grained syntactic description in the source parse tree/forest, as well as those in the translation ... See full document

... We were honored to have Martin Kay deliver this year’s invited keynote talk. This field is indebted to Martin Kay for not one but two of the classic cornerstone ideas that inspired bilingual tree-structured models for ... See full document

... While these algorithms usually work well on specific semantic formalisms, it is not clear how well they could be applied to a different se- mantic formalism. In this paper, we propose a novel supervised approach to learn ... See full document

... Neural Machine Translation (NMT) model generates trans- lations from left to right as a linear sequence, during which latent syntactic structures of the target sentences are not explicitly ...improving ... See full document

... phrase translation is selected, and the target phrases are arranged in some order to produce the target ...possible translation candidates created in this way were scored according to a weighted linear ... See full document

... 3.2 Dependency-based contextual functions In NLP approaches exploiting dependency struc- ture, two kinds of relations are of special impor- tance: the parent-child relation and the sibling re- ...formed ... See full document

... a forest-to-string MT model based on the learned dependency parser in Step ...a forest-to-string MT model is learned with Zhang et ...tracts translation rules by a forest-based variant ... See full document

... well-formed dependency structures can only happen on NT ...the dependency information stored in rules. We extract the translation rules from the training data containing word-to-word alignment and ... See full document

... This trend shows the trade-off between phrase- based and syntax-based approaches. When the threshold is too small, an abstraction tree be- comes closer to the dependency tree and the tree- projection becomes ... See full document

... for statistical translation models that tightly integrates additional morphological, syntactic, or semantic ...information. Statistical Machine Trans- lation with scarce resources using ... See full document

... We propose to evaluate system performance with version 0.9 of the NIST automated scorer (NIST, 2002), which is a modification of the BLEU sys- tem (Papineni et al., 2001). BLEU calculates a score based on a weighted sum ... See full document

... Syntax-based statistical machine transla- tion (MT) aims at applying statistical models to structured ...syntax-based statistical ma- chine translation system based on a prob- abilistic ... See full document

... improve translation quality. However, previous works on dependency structure based models typi- cally resort to insertion operations to complete translations, which make it difficult to spec- ify ordering ... See full document