[PDF] Top 20 CCG Syntactic Reordering Models for Phrase based Machine Translation

... full CCG would — ...the CCG parser we use is trained on a CCG treebank that is the result of a carefully engi- neered Penn Treebank-to-CCG conversion (Hocken- maier and Steedman, 2007) and we ... See full document

... flat reordering models, several re- searchers (Och et ...is phrase dependent. Lexicalized reordering model learns local orientations (mono- tone or non-monotone) with probabilities for each ... See full document

... comparing phrase-based and Hiero trans- lation models, most of previous work on tree- based translation addresses its limited hypothesis space ...structure reordering. Galley and ... See full document

... Word reordering is one of the most difficult aspects of Statistical Machine Translation (SMT), and an important factor of its quality and ...range reordering is reasonably handled by the ... See full document

... word reordering problem has been one of the major problems in statistical machine translation ...IBM Models 3 through 5 (Brown et.al. 1993) model reorderings based on surface word ... See full document

... the translation quality done ...automatic reordering rules. Table 9 showed the translation output examples are better than baseline system produced by our system for the input sentences from English- ... See full document

... hierarchical phrase-based translation system, which has been open sourced for the scientific ...ferent machine translation ...novel reordering model for the hierarchical ... See full document

... noun phrase with two nested CP ...English translation. Such distortions in the word reordering will be quite difficult for the word or phrase-based alignment model to ...a ... See full document

... tree-based translation models: string-to-tree (Yamada and Knight, 2001; Gildea, 2003; Imamura et ...use syntactic information to inform the translation ...parsing-based ... See full document

... statistical machine trans- lation performed with phrase based ap- proaches can be increased by permuting the words in the source sentences in an order which resembles that of the target ...neural ... See full document

... following models: Phrase translation probabilities and lexical smoothing in both directions, word and phrase penalty, distance- based reordering model, n -gram target language ... See full document

... time. Reordering constraints are also important for translation quality because the existing models are typically not discriminative enough to guide the search over very large sets of ... See full document

... global reordering model that explicitly models long distance re- ordering 1 ...of reordering patterns, namely MA (monotone adjacent), MG (monotone gap), RA (reverse adjacent), and RG (reverse ...are ... See full document

... the machine translation system and neu- ral classifier are trained separately, the neural network training only has an indirect effect on translation ...the machine translation system ... See full document

... Previous approaches have used morpho-syntactic knowledge mainly at the low-level stages of a ma- chine translation system, i.e. for preprocessing. (Niessen and Ney, 2001a) use morpho-syntactic ... See full document

... lexical translation and phrase reordering for HPB ...side based on contextual ...SMT translation (Liu et ...language models, ... See full document

... proper translation rules during ...context based model are used to predict proper ...lexical reordering model based on the maximum entropy model for the HPB model, and we also integrate our ... See full document

... tax-based models use synchronous context-free grammar (SCFG) but induce a grammar from a parallel text without relying on any linguistic annotations or assumptions (Chiang, 2005; Xiong et ...hierarchical ... See full document

... 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 ...ral ... See full document

... PBMT models (Koehn et al., 2003; Chiang, 2005) and syntax-based machine translation models (Yamada et ...statistical machine translation (SMT) meth- ...the phrase ... See full document